Programme Details

BSc (Data Science)

  • Pune Lavasa Campus
  • Open From : 08-Dec-2020
  • Open Until : 03-Aug-2021


BSc Data Science is a unique programme designed to impart the essential skills to cater to the fastest growing trends in the industry. The curriculum is a blend of core and advanced specialized courses in Statistics and predictive analytics using R, Python, Machine Learning, Data Visualization with a strong foundation of Mathematics, Communication skills and entrepreneurship. Choice-based electives from other Programs diversify the domain of knowledge in an interdisciplinary manner.

  • To acquire an in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.   
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen analytical and problem-solving skill through developing real-time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to social issues.

A great revolution is taking place in the field of “Big Data Analytics”. Among the new roles that have arisen is “Data Scientist”. Data Scientist is employed to analyse and interpret the digital data, especially to assist business decision making. The globalization and Information Technology revolution has opened not only “Data Scientist” but also many attractive positions for data science graduates. Data Science is the application of statistical and analytical methods to extract insights and knowledge from data. The skills that are required to work as a data scientist from the statistical and algebraic side of mathematics, and from the programming and data management side of computer science with aspects of problem-solving and the ability to work within different disciplines are considered while designing the curriculum. Our curriculum that suits the global requirements for analytics focuses on moulding the students into highly competent Data Scientists.

 

The BSc Data Science Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Business Statistics, Advanced Statistics, Data Mining, Predictive Modelling, Big Data Analytics and Machine Learning. Mini Projects, Industry Exposure, Case studies and Assignments and internships are other unique features of the program. Projects and internships are in line with the course to give a first-hand experience of the business world to the students.

 

Activities

The department of Computer Science of CHRIST (Deemed to be University), Lavasa gives enormous opportunities and training to its students. CHRIST, Lavasa has conducted various workshops and conferences to create more awareness in the field of Data Science.

Data Science Association (DSA)

Data Science Association (DSA) is an initiative of a group of senior academics and students as well as professionals from CHRIST(Deemed to be University), Pune Lavasa. The objective of this association is to promote our students for participating in various club activities that will help them to build and explore the opportunities in the field of Data Science. It will also promote the awareness and study of data science in schools and higher educational institutions and will create a Data Science Code of Professional Conduct and to promote ethical practices in data science at all levels. With these objectives, the DSA have introduced club activities into 5 different clubs. Each club is distinctive and provides different knowledge in the data science domain.

The Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, inaugurated Computer Society of India (CSI) Student Branch and Data Science Association (DSA) for the academic year 2019-20 on 4th September 2019 at Central Block Auditorium, CHRIST, Lavasa. The Chief Guest for the program was Mr Kapil Tiwari; Associate Director & Product Development, SS&C Eze Software, Hyderabad, India.


The Chief Guest, Mr Kapil gave an insightful talk on why Cloud Computing is essential for a Data Scientist. He began the lecture by defining cloud computing basics, the process and challenges faced in data science and how cloud computing is used in data science. He also explained the basics of cloud computing, development and delivery modules, the typical data science process and framework and tools involved in it. Mr Kapil rightly pointed out at the outset that cloud is required for platform independency, dynamic scaling and load balancing, collaborative computing and something which can be measured and monitored.

International Conference’20

The Computer Science Department at CHRIST (Deemed to be University), Lavasa recently conducted the International Conference-IDSCS 2020, which served as a technical gathering of the Internet and Data security professionals to exchange the latest developments that are gaining momentum in the ever-growing global Infrastructure of Computer Science. All accepted, registered and presented high-quality papers were submitted to Springer “Lecture Notes in Networks and Systems” indexed in ISI Proceedings, SCOPUS, Google Scholar and Springer link for publication.


Dr Balachandran Krishnan, Head, Department of Computer Science and Engineering at Kengeri Campus and Professor at CHRIST (Deemed to be University), Bangalore was the speaker and he spoke on the discussion of various types of learning. He insisted upon finding the appropriateness of learning in an environment. Learning involves the logical development of pattern in the process of doing the same task.

Projects with clever insights

Christ (Deemed to be University), Lavasa in collaboration with Clever Insight Open AI Foundation has completed the data analytics project for Right to live Foundation. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. The team from Christ (Deemed to be University), Lavasa has helped the NGO in analyzing the patterns related to donations and has helped them in formulating the plan for its digital marketing to increase the contributions.

Guest Lectures

Guest lecture on Data Visualization Techniques

Department of Data Science organised a guest lecture on `Data Visualization techniques’ by Mr Bastin Robin, Chief Data Scientist, Clever Insight Inc, Bengaluru on 7th March 2020.

The lecture gave an insight into the importance of data visualization along with a detailed explanation of the importance of data storytelling. It was quite informative and interesting and the students listened with rapt attention. The students were quite fascinated to know how different subjects taught in MSc are interconnected. Then Mr Bastin Robin gave a live demonstration of how crime rate analysis in Pune can find a correlation and how the names and results are interconnected. The students were further interested to know more about the basic tools of data visualization.

Guest Lecture On ‘Multivariate Techniques in Data Science’

A guest lecture was delivered on 6th March 2020 organised by the Computer Science Department. The speaker, Dr C Muthu, HoD of Department of Data Science, Loyola College, Chennai talked about `Multivariate Techniques in Data Science’.

The talk clarified concepts like Data Visualization always helps one to understand problems and provides solutions in a better way and thus has a better impact. He practically mentioned that solving real-time problems enhances confidence and gives better knowledge. During the session, Dr C Muthu listed out multiple roles of a Data Scientist (DS). According to him, a data scientist needs to find ways to tackle all sorts of problems in the project, such as, recording real-time data and taking into account the historical data, what type of data needs to be collected, checking data set and handle missing values and outliers.

Workshops

Machine Learning

Mr Dhanesh Solanki, Principal Engineer (Architect), Harman Connected Service Corporation Pvt Ltd (Now Samsung), Bangalore conducted a workshop on `Machine Learning in Python’ on Saturday, 8th February 2020 at Smart Room, Central Block. It was organized by the Department of Data Science, CHRIST (Deemed to be University), Lavasa. Director & Dean, Dr Fr. Jossy P. George and Academic Coordinator, Dr Fr. Arun Antony inaugurated the workshop.

Mr Solanki holds nearly ten years of experience in Data Science and is currently associated with Harman Connected Service Corporation Pvt. Ltd (Now Samsung) as Principal Engineer (Architect) in Automotive Domain "ADAS". He is also a PhD student at the Indian Statistical Institute, Bangalore, and his research topic is Hybrid Deep Neural Network. He holds M Tech from BITS, Pilani and B Tech from the University of Rajasthan. He holds six patents that deal with multiple ideas selected from MIT Media Lab Boston Lab Under Harman Research of ADAS Domain. He has submitted many research papers and is privileged to be a reviewer for many international journals.

IEEE and Research Methodology

A two-day workshop on Research Methodology and Technical Paper Writing and IEEE Authorship Lab in technical association with IEEE, ComSoc, Bangalore and Computer Society of India for Economics and Data Science students, selected faculty members and research scholars, was conducted on 13th and 14th September 2019 at CHRIST (Deemed to be University), Lavasa, Pune. The resource person was Dr Navin Kumar, Fellow IE (India). He is a Senior Member of IEEE, IET(UK), AIENG (HK), Life Member IETE and IEEE, ComSoc, Bangalore Chapter and Global ICT Standardisation Forum for India (GISFI). Currently, he is working as an Associate Professor, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bangalore.

The main motivation behind the workshop was to improve research quality apart from creating an environment and culture for research on the Lavasa campus. The workshop’s objectives from an academic perspective, were primarily to ensure that the participants should be able to understand some basic concepts of research and its methodologies, identify appropriate research topics, select and define appropriate research problem and parameters, prepare a project (thesis) proposal (to undertake a project/thesis), organize and conduct research (advanced project) in a more appropriate manner, write a research report, article/paper and thesis, write a research proposal (grants) and review an article and submit the report (peer review process).

 

On successful completion of the BSc Programme, the students will be able to
PO1. Understand and apply the fundamental principles, concepts, and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical, and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with a scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

PSO1: Abstract Thinking: To develop the ability to understand abstract concepts that lead to various data science theories in Mathematics, Statistics, and Computer Science.
PSO2: Problem Analysis and Design Ability: To identify, analyze and design solutions for problems using the fundamental principles of Mathematics, Statistics, Computing
Sciences, and relevant domain disciplines.
PSO3: Modern Software Tool Usage: To acquire the skill of handling data science programming tools for problem-solving and solution analysis for domain-specific problems.
PSO4: Professional Ethics: To understand and commit to professional ethics, cyber regulations, responsibilities, and norms of professional computing practices.
PSO5: Conduct investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis, interpretation of data, and synthesis of the information to provide valid conclusions.
PSO6: Individual and Teamwork: To function effectively as an individual, as a member or as a leader in diverse teams and multidisciplinary environments.
PSO7: Applications in Multidisciplinary domains: To understand the role of statistical approaches and apply the same to solve the real-life problems in the fields of data science.
PSO8: Project Management: To apply research-based knowledge to analyze and solve advanced problems in data science.
 

BSc Data Science is a unique programme designed to impart the essential skills to cater to the fastest growing trends in the industry. The curriculum is a blend of core and advanced specialized courses in Statistics and predictive analytics using R, Python, Machine Learning, Data Visualization with a strong foundation of Mathematics, Communication skills and entrepreneurship. Choice-based electives from other Programs diversify the domain of knowledge in an interdisciplinary manner.

  • To acquire an in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.   
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen analytical and problem-solving skill through developing real-time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to social issues.

A great revolution is taking place in the field of “Big Data Analytics”. Among the new roles that have arisen is “Data Scientist”. Data Scientist is employed to analyse and interpret the digital data, especially to assist business decision making. The globalization and Information Technology revolution has opened not only “Data Scientist” but also many attractive positions for data science graduates. Data Science is the application of statistical and analytical methods to extract insights and knowledge from data. The skills that are required to work as a data scientist from the statistical and algebraic side of mathematics, and from the programming and data management side of computer science with aspects of problem-solving and the ability to work within different disciplines are considered while designing the curriculum. Our curriculum that suits the global requirements for analytics focuses on moulding the students into highly competent Data Scientists.

 

The BSc Data Science Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Business Statistics, Advanced Statistics, Data Mining, Predictive Modelling, Big Data Analytics and Machine Learning. Mini Projects, Industry Exposure, Case studies and Assignments and internships are other unique features of the program. Projects and internships are in line with the course to give a first-hand experience of the business world to the students.

 

Activities

The department of Computer Science of CHRIST (Deemed to be University), Lavasa gives enormous opportunities and training to its students. CHRIST, Lavasa has conducted various workshops and conferences to create more awareness in the field of Data Science.

Data Science Association (DSA)

Data Science Association (DSA) is an initiative of a group of senior academics and students as well as professionals from CHRIST(Deemed to be University), Pune Lavasa. The objective of this association is to promote our students for participating in various club activities that will help them to build and explore the opportunities in the field of Data Science. It will also promote the awareness and study of data science in schools and higher educational institutions and will create a Data Science Code of Professional Conduct and to promote ethical practices in data science at all levels. With these objectives, the DSA have introduced club activities into 5 different clubs. Each club is distinctive and provides different knowledge in the data science domain.

The Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, inaugurated Computer Society of India (CSI) Student Branch and Data Science Association (DSA) for the academic year 2019-20 on 4th September 2019 at Central Block Auditorium, CHRIST, Lavasa. The Chief Guest for the program was Mr Kapil Tiwari; Associate Director & Product Development, SS&C Eze Software, Hyderabad, India.


The Chief Guest, Mr Kapil gave an insightful talk on why Cloud Computing is essential for a Data Scientist. He began the lecture by defining cloud computing basics, the process and challenges faced in data science and how cloud computing is used in data science. He also explained the basics of cloud computing, development and delivery modules, the typical data science process and framework and tools involved in it. Mr Kapil rightly pointed out at the outset that cloud is required for platform independency, dynamic scaling and load balancing, collaborative computing and something which can be measured and monitored.

International Conference’20

The Computer Science Department at CHRIST (Deemed to be University), Lavasa recently conducted the International Conference-IDSCS 2020, which served as a technical gathering of the Internet and Data security professionals to exchange the latest developments that are gaining momentum in the ever-growing global Infrastructure of Computer Science. All accepted, registered and presented high-quality papers were submitted to Springer “Lecture Notes in Networks and Systems” indexed in ISI Proceedings, SCOPUS, Google Scholar and Springer link for publication.


Dr Balachandran Krishnan, Head, Department of Computer Science and Engineering at Kengeri Campus and Professor at CHRIST (Deemed to be University), Bangalore was the speaker and he spoke on the discussion of various types of learning. He insisted upon finding the appropriateness of learning in an environment. Learning involves the logical development of pattern in the process of doing the same task.

Projects with clever insights

Christ (Deemed to be University), Lavasa in collaboration with Clever Insight Open AI Foundation has completed the data analytics project for Right to live Foundation. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. The team from Christ (Deemed to be University), Lavasa has helped the NGO in analyzing the patterns related to donations and has helped them in formulating the plan for its digital marketing to increase the contributions.

Guest Lectures

Guest lecture on Data Visualization Techniques

Department of Data Science organised a guest lecture on `Data Visualization techniques’ by Mr Bastin Robin, Chief Data Scientist, Clever Insight Inc, Bengaluru on 7th March 2020.

The lecture gave an insight into the importance of data visualization along with a detailed explanation of the importance of data storytelling. It was quite informative and interesting and the students listened with rapt attention. The students were quite fascinated to know how different subjects taught in MSc are interconnected. Then Mr Bastin Robin gave a live demonstration of how crime rate analysis in Pune can find a correlation and how the names and results are interconnected. The students were further interested to know more about the basic tools of data visualization.

Guest Lecture On ‘Multivariate Techniques in Data Science’

A guest lecture was delivered on 6th March 2020 organised by the Computer Science Department. The speaker, Dr C Muthu, HoD of Department of Data Science, Loyola College, Chennai talked about `Multivariate Techniques in Data Science’.

The talk clarified concepts like Data Visualization always helps one to understand problems and provides solutions in a better way and thus has a better impact. He practically mentioned that solving real-time problems enhances confidence and gives better knowledge. During the session, Dr C Muthu listed out multiple roles of a Data Scientist (DS). According to him, a data scientist needs to find ways to tackle all sorts of problems in the project, such as, recording real-time data and taking into account the historical data, what type of data needs to be collected, checking data set and handle missing values and outliers.

Workshops

Machine Learning

Mr Dhanesh Solanki, Principal Engineer (Architect), Harman Connected Service Corporation Pvt Ltd (Now Samsung), Bangalore conducted a workshop on `Machine Learning in Python’ on Saturday, 8th February 2020 at Smart Room, Central Block. It was organized by the Department of Data Science, CHRIST (Deemed to be University), Lavasa. Director & Dean, Dr Fr. Jossy P. George and Academic Coordinator, Dr Fr. Arun Antony inaugurated the workshop.

Mr Solanki holds nearly ten years of experience in Data Science and is currently associated with Harman Connected Service Corporation Pvt. Ltd (Now Samsung) as Principal Engineer (Architect) in Automotive Domain "ADAS". He is also a PhD student at the Indian Statistical Institute, Bangalore, and his research topic is Hybrid Deep Neural Network. He holds M Tech from BITS, Pilani and B Tech from the University of Rajasthan. He holds six patents that deal with multiple ideas selected from MIT Media Lab Boston Lab Under Harman Research of ADAS Domain. He has submitted many research papers and is privileged to be a reviewer for many international journals.

IEEE and Research Methodology

A two-day workshop on Research Methodology and Technical Paper Writing and IEEE Authorship Lab in technical association with IEEE, ComSoc, Bangalore and Computer Society of India for Economics and Data Science students, selected faculty members and research scholars, was conducted on 13th and 14th September 2019 at CHRIST (Deemed to be University), Lavasa, Pune. The resource person was Dr Navin Kumar, Fellow IE (India). He is a Senior Member of IEEE, IET(UK), AIENG (HK), Life Member IETE and IEEE, ComSoc, Bangalore Chapter and Global ICT Standardisation Forum for India (GISFI). Currently, he is working as an Associate Professor, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bangalore.

The main motivation behind the workshop was to improve research quality apart from creating an environment and culture for research on the Lavasa campus. The workshop’s objectives from an academic perspective, were primarily to ensure that the participants should be able to understand some basic concepts of research and its methodologies, identify appropriate research topics, select and define appropriate research problem and parameters, prepare a project (thesis) proposal (to undertake a project/thesis), organize and conduct research (advanced project) in a more appropriate manner, write a research report, article/paper and thesis, write a research proposal (grants) and review an article and submit the report (peer review process).

 

On successful completion of the BSc Programme, the students will be able to
PO1. Understand and apply the fundamental principles, concepts, and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical, and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with a scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

PSO1: Abstract Thinking: To develop the ability to understand abstract concepts that lead to various data science theories in Mathematics, Statistics, and Computer Science.
PSO2: Problem Analysis and Design Ability: To identify, analyze and design solutions for problems using the fundamental principles of Mathematics, Statistics, Computing
Sciences, and relevant domain disciplines.
PSO3: Modern Software Tool Usage: To acquire the skill of handling data science programming tools for problem-solving and solution analysis for domain-specific problems.
PSO4: Professional Ethics: To understand and commit to professional ethics, cyber regulations, responsibilities, and norms of professional computing practices.
PSO5: Conduct investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis, interpretation of data, and synthesis of the information to provide valid conclusions.
PSO6: Individual and Teamwork: To function effectively as an individual, as a member or as a leader in diverse teams and multidisciplinary environments.
PSO7: Applications in Multidisciplinary domains: To understand the role of statistical approaches and apply the same to solve the real-life problems in the fields of data science.
PSO8: Project Management: To apply research-based knowledge to analyze and solve advanced problems in data science.
 

Candidates falling under any of the below mentioned categories must apply under the International Student Category:

  • Foreign citizens,
  • PIO card holders and
  • OCI (Dual Citizens)

International students coming from Non-English speaking countries should:

  • Produce evidence of passing the qualifying examination in English medium or
  • Have IELTS 6.0 with no sub-score below 5.5 or TOEFL (paper) 550, TOEFL (computer) of 213 or TOEFL (IBT) of 79 scores

Candidates without the above pre-qualifications will have to enroll either for

  • Intensive Certificate course in English Language (Full Time) conducted from March to May each year or
  • One Semester Certificate course in English Language (Part Time) conducted after regular class hours from June to December.

Note: The International Student category fee structure is binding for the full duration of the programme and cannot be transferred /changed in between.

Candidates from the above listed categories having pursued Indian Educational qualification and who may have applied under the Indian States Category will have to pay the International Student Category Fee. The decision of the Admission committee is final.

Candidates seeking admission through International Student category (Foreign Nationals/PIO/OCI) will have a separate application process, with the following options to apply for any programme at Christ University.
 

  • Direct mode Application
  • Online Application form

BSc Data Science is a unique programme designed to impart the essential skills to cater to the fastest growing trends in the industry. The curriculum is a blend of core and advanced specialized courses in Statistics and predictive analytics using R, Python, Machine Learning, Data Visualization with a strong foundation of Mathematics, Communication skills and entrepreneurship. Choice-based electives from other Programs diversify the domain of knowledge in an interdisciplinary manner.

  • To acquire an in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.   
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen analytical and problem-solving skill through developing real-time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to social issues.

A great revolution is taking place in the field of “Big Data Analytics”. Among the new roles that have arisen is “Data Scientist”. Data Scientist is employed to analyse and interpret the digital data, especially to assist business decision making. The globalization and Information Technology revolution has opened not only “Data Scientist” but also many attractive positions for data science graduates. Data Science is the application of statistical and analytical methods to extract insights and knowledge from data. The skills that are required to work as a data scientist from the statistical and algebraic side of mathematics, and from the programming and data management side of computer science with aspects of problem-solving and the ability to work within different disciplines are considered while designing the curriculum. Our curriculum that suits the global requirements for analytics focuses on moulding the students into highly competent Data Scientists.

 

The BSc Data Science Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Business Statistics, Advanced Statistics, Data Mining, Predictive Modelling, Big Data Analytics and Machine Learning. Mini Projects, Industry Exposure, Case studies and Assignments and internships are other unique features of the program. Projects and internships are in line with the course to give a first-hand experience of the business world to the students.

 

Activities

The department of Computer Science of CHRIST (Deemed to be University), Lavasa gives enormous opportunities and training to its students. CHRIST, Lavasa has conducted various workshops and conferences to create more awareness in the field of Data Science.

Data Science Association (DSA)

Data Science Association (DSA) is an initiative of a group of senior academics and students as well as professionals from CHRIST(Deemed to be University), Pune Lavasa. The objective of this association is to promote our students for participating in various club activities that will help them to build and explore the opportunities in the field of Data Science. It will also promote the awareness and study of data science in schools and higher educational institutions and will create a Data Science Code of Professional Conduct and to promote ethical practices in data science at all levels. With these objectives, the DSA have introduced club activities into 5 different clubs. Each club is distinctive and provides different knowledge in the data science domain.

The Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, inaugurated Computer Society of India (CSI) Student Branch and Data Science Association (DSA) for the academic year 2019-20 on 4th September 2019 at Central Block Auditorium, CHRIST, Lavasa. The Chief Guest for the program was Mr Kapil Tiwari; Associate Director & Product Development, SS&C Eze Software, Hyderabad, India.


The Chief Guest, Mr Kapil gave an insightful talk on why Cloud Computing is essential for a Data Scientist. He began the lecture by defining cloud computing basics, the process and challenges faced in data science and how cloud computing is used in data science. He also explained the basics of cloud computing, development and delivery modules, the typical data science process and framework and tools involved in it. Mr Kapil rightly pointed out at the outset that cloud is required for platform independency, dynamic scaling and load balancing, collaborative computing and something which can be measured and monitored.

International Conference’20

The Computer Science Department at CHRIST (Deemed to be University), Lavasa recently conducted the International Conference-IDSCS 2020, which served as a technical gathering of the Internet and Data security professionals to exchange the latest developments that are gaining momentum in the ever-growing global Infrastructure of Computer Science. All accepted, registered and presented high-quality papers were submitted to Springer “Lecture Notes in Networks and Systems” indexed in ISI Proceedings, SCOPUS, Google Scholar and Springer link for publication.


Dr Balachandran Krishnan, Head, Department of Computer Science and Engineering at Kengeri Campus and Professor at CHRIST (Deemed to be University), Bangalore was the speaker and he spoke on the discussion of various types of learning. He insisted upon finding the appropriateness of learning in an environment. Learning involves the logical development of pattern in the process of doing the same task.

Projects with clever insights

Christ (Deemed to be University), Lavasa in collaboration with Clever Insight Open AI Foundation has completed the data analytics project for Right to live Foundation. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. The team from Christ (Deemed to be University), Lavasa has helped the NGO in analyzing the patterns related to donations and has helped them in formulating the plan for its digital marketing to increase the contributions.

Guest Lectures

Guest lecture on Data Visualization Techniques

Department of Data Science organised a guest lecture on `Data Visualization techniques’ by Mr Bastin Robin, Chief Data Scientist, Clever Insight Inc, Bengaluru on 7th March 2020.

The lecture gave an insight into the importance of data visualization along with a detailed explanation of the importance of data storytelling. It was quite informative and interesting and the students listened with rapt attention. The students were quite fascinated to know how different subjects taught in MSc are interconnected. Then Mr Bastin Robin gave a live demonstration of how crime rate analysis in Pune can find a correlation and how the names and results are interconnected. The students were further interested to know more about the basic tools of data visualization.

Guest Lecture On ‘Multivariate Techniques in Data Science’

A guest lecture was delivered on 6th March 2020 organised by the Computer Science Department. The speaker, Dr C Muthu, HoD of Department of Data Science, Loyola College, Chennai talked about `Multivariate Techniques in Data Science’.

The talk clarified concepts like Data Visualization always helps one to understand problems and provides solutions in a better way and thus has a better impact. He practically mentioned that solving real-time problems enhances confidence and gives better knowledge. During the session, Dr C Muthu listed out multiple roles of a Data Scientist (DS). According to him, a data scientist needs to find ways to tackle all sorts of problems in the project, such as, recording real-time data and taking into account the historical data, what type of data needs to be collected, checking data set and handle missing values and outliers.

Workshops

Machine Learning

Mr Dhanesh Solanki, Principal Engineer (Architect), Harman Connected Service Corporation Pvt Ltd (Now Samsung), Bangalore conducted a workshop on `Machine Learning in Python’ on Saturday, 8th February 2020 at Smart Room, Central Block. It was organized by the Department of Data Science, CHRIST (Deemed to be University), Lavasa. Director & Dean, Dr Fr. Jossy P. George and Academic Coordinator, Dr Fr. Arun Antony inaugurated the workshop.

Mr Solanki holds nearly ten years of experience in Data Science and is currently associated with Harman Connected Service Corporation Pvt. Ltd (Now Samsung) as Principal Engineer (Architect) in Automotive Domain "ADAS". He is also a PhD student at the Indian Statistical Institute, Bangalore, and his research topic is Hybrid Deep Neural Network. He holds M Tech from BITS, Pilani and B Tech from the University of Rajasthan. He holds six patents that deal with multiple ideas selected from MIT Media Lab Boston Lab Under Harman Research of ADAS Domain. He has submitted many research papers and is privileged to be a reviewer for many international journals.

IEEE and Research Methodology

A two-day workshop on Research Methodology and Technical Paper Writing and IEEE Authorship Lab in technical association with IEEE, ComSoc, Bangalore and Computer Society of India for Economics and Data Science students, selected faculty members and research scholars, was conducted on 13th and 14th September 2019 at CHRIST (Deemed to be University), Lavasa, Pune. The resource person was Dr Navin Kumar, Fellow IE (India). He is a Senior Member of IEEE, IET(UK), AIENG (HK), Life Member IETE and IEEE, ComSoc, Bangalore Chapter and Global ICT Standardisation Forum for India (GISFI). Currently, he is working as an Associate Professor, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bangalore.

The main motivation behind the workshop was to improve research quality apart from creating an environment and culture for research on the Lavasa campus. The workshop’s objectives from an academic perspective, were primarily to ensure that the participants should be able to understand some basic concepts of research and its methodologies, identify appropriate research topics, select and define appropriate research problem and parameters, prepare a project (thesis) proposal (to undertake a project/thesis), organize and conduct research (advanced project) in a more appropriate manner, write a research report, article/paper and thesis, write a research proposal (grants) and review an article and submit the report (peer review process).

 

On successful completion of the BSc Programme, the students will be able to
PO1. Understand and apply the fundamental principles, concepts, and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical, and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with a scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

PSO1: Abstract Thinking: To develop the ability to understand abstract concepts that lead to various data science theories in Mathematics, Statistics, and Computer Science.
PSO2: Problem Analysis and Design Ability: To identify, analyze and design solutions for problems using the fundamental principles of Mathematics, Statistics, Computing
Sciences, and relevant domain disciplines.
PSO3: Modern Software Tool Usage: To acquire the skill of handling data science programming tools for problem-solving and solution analysis for domain-specific problems.
PSO4: Professional Ethics: To understand and commit to professional ethics, cyber regulations, responsibilities, and norms of professional computing practices.
PSO5: Conduct investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis, interpretation of data, and synthesis of the information to provide valid conclusions.
PSO6: Individual and Teamwork: To function effectively as an individual, as a member or as a leader in diverse teams and multidisciplinary environments.
PSO7: Applications in Multidisciplinary domains: To understand the role of statistical approaches and apply the same to solve the real-life problems in the fields of data science.
PSO8: Project Management: To apply research-based knowledge to analyze and solve advanced problems in data science.
 

Students who fall under any of the following classifications, at the time of application may apply under NRI Student category and be liable to pay the fees applicable to the category for the entire duration of the course.

  • NRI defined under the Indian Income Tax Law
  • Either of the parents is outside India (except Nepal) on Work Permit / Resident Permit.
  • Indian citizen financed by any Institution /  agency outside India, even if parents are Residents of India.
  • Indian Citizen who has pursued studies for qualifying examination in any foreign / Indian syllabus outside India.
  • Indian citizen pursued studies for qualifying examination in foreign syllabi in India.

Note: If only condition 5 is satisfied, and not conditions 1 to 4 above,NRI student category fee will be applicable only for the first year.
 

BSc Data Science is a unique programme designed to impart the essential skills to cater to the fastest growing trends in the industry. The curriculum is a blend of core and advanced specialized courses in Statistics and predictive analytics using R, Python, Machine Learning, Data Visualization with a strong foundation of Mathematics, Communication skills and entrepreneurship. Choice-based electives from other Programs diversify the domain of knowledge in an interdisciplinary manner.

  • To acquire an in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.   
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen analytical and problem-solving skill through developing real-time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to social issues.

A great revolution is taking place in the field of “Big Data Analytics”. Among the new roles that have arisen is “Data Scientist”. Data Scientist is employed to analyse and interpret the digital data, especially to assist business decision making. The globalization and Information Technology revolution has opened not only “Data Scientist” but also many attractive positions for data science graduates. Data Science is the application of statistical and analytical methods to extract insights and knowledge from data. The skills that are required to work as a data scientist from the statistical and algebraic side of mathematics, and from the programming and data management side of computer science with aspects of problem-solving and the ability to work within different disciplines are considered while designing the curriculum. Our curriculum that suits the global requirements for analytics focuses on moulding the students into highly competent Data Scientists.

 

The BSc Data Science Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Business Statistics, Advanced Statistics, Data Mining, Predictive Modelling, Big Data Analytics and Machine Learning. Mini Projects, Industry Exposure, Case studies and Assignments and internships are other unique features of the program. Projects and internships are in line with the course to give a first-hand experience of the business world to the students.

 

Activities

The department of Computer Science of CHRIST (Deemed to be University), Lavasa gives enormous opportunities and training to its students. CHRIST, Lavasa has conducted various workshops and conferences to create more awareness in the field of Data Science.

Data Science Association (DSA)

Data Science Association (DSA) is an initiative of a group of senior academics and students as well as professionals from CHRIST(Deemed to be University), Pune Lavasa. The objective of this association is to promote our students for participating in various club activities that will help them to build and explore the opportunities in the field of Data Science. It will also promote the awareness and study of data science in schools and higher educational institutions and will create a Data Science Code of Professional Conduct and to promote ethical practices in data science at all levels. With these objectives, the DSA have introduced club activities into 5 different clubs. Each club is distinctive and provides different knowledge in the data science domain.

The Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, inaugurated Computer Society of India (CSI) Student Branch and Data Science Association (DSA) for the academic year 2019-20 on 4th September 2019 at Central Block Auditorium, CHRIST, Lavasa. The Chief Guest for the program was Mr Kapil Tiwari; Associate Director & Product Development, SS&C Eze Software, Hyderabad, India.


The Chief Guest, Mr Kapil gave an insightful talk on why Cloud Computing is essential for a Data Scientist. He began the lecture by defining cloud computing basics, the process and challenges faced in data science and how cloud computing is used in data science. He also explained the basics of cloud computing, development and delivery modules, the typical data science process and framework and tools involved in it. Mr Kapil rightly pointed out at the outset that cloud is required for platform independency, dynamic scaling and load balancing, collaborative computing and something which can be measured and monitored.

International Conference’20

The Computer Science Department at CHRIST (Deemed to be University), Lavasa recently conducted the International Conference-IDSCS 2020, which served as a technical gathering of the Internet and Data security professionals to exchange the latest developments that are gaining momentum in the ever-growing global Infrastructure of Computer Science. All accepted, registered and presented high-quality papers were submitted to Springer “Lecture Notes in Networks and Systems” indexed in ISI Proceedings, SCOPUS, Google Scholar and Springer link for publication.


Dr Balachandran Krishnan, Head, Department of Computer Science and Engineering at Kengeri Campus and Professor at CHRIST (Deemed to be University), Bangalore was the speaker and he spoke on the discussion of various types of learning. He insisted upon finding the appropriateness of learning in an environment. Learning involves the logical development of pattern in the process of doing the same task.

Projects with clever insights

Christ (Deemed to be University), Lavasa in collaboration with Clever Insight Open AI Foundation has completed the data analytics project for Right to live Foundation. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. The team from Christ (Deemed to be University), Lavasa has helped the NGO in analyzing the patterns related to donations and has helped them in formulating the plan for its digital marketing to increase the contributions.

Guest Lectures

Guest lecture on Data Visualization Techniques

Department of Data Science organised a guest lecture on `Data Visualization techniques’ by Mr Bastin Robin, Chief Data Scientist, Clever Insight Inc, Bengaluru on 7th March 2020.

The lecture gave an insight into the importance of data visualization along with a detailed explanation of the importance of data storytelling. It was quite informative and interesting and the students listened with rapt attention. The students were quite fascinated to know how different subjects taught in MSc are interconnected. Then Mr Bastin Robin gave a live demonstration of how crime rate analysis in Pune can find a correlation and how the names and results are interconnected. The students were further interested to know more about the basic tools of data visualization.

Guest Lecture On ‘Multivariate Techniques in Data Science’

A guest lecture was delivered on 6th March 2020 organised by the Computer Science Department. The speaker, Dr C Muthu, HoD of Department of Data Science, Loyola College, Chennai talked about `Multivariate Techniques in Data Science’.

The talk clarified concepts like Data Visualization always helps one to understand problems and provides solutions in a better way and thus has a better impact. He practically mentioned that solving real-time problems enhances confidence and gives better knowledge. During the session, Dr C Muthu listed out multiple roles of a Data Scientist (DS). According to him, a data scientist needs to find ways to tackle all sorts of problems in the project, such as, recording real-time data and taking into account the historical data, what type of data needs to be collected, checking data set and handle missing values and outliers.

Workshops

Machine Learning

Mr Dhanesh Solanki, Principal Engineer (Architect), Harman Connected Service Corporation Pvt Ltd (Now Samsung), Bangalore conducted a workshop on `Machine Learning in Python’ on Saturday, 8th February 2020 at Smart Room, Central Block. It was organized by the Department of Data Science, CHRIST (Deemed to be University), Lavasa. Director & Dean, Dr Fr. Jossy P. George and Academic Coordinator, Dr Fr. Arun Antony inaugurated the workshop.

Mr Solanki holds nearly ten years of experience in Data Science and is currently associated with Harman Connected Service Corporation Pvt. Ltd (Now Samsung) as Principal Engineer (Architect) in Automotive Domain "ADAS". He is also a PhD student at the Indian Statistical Institute, Bangalore, and his research topic is Hybrid Deep Neural Network. He holds M Tech from BITS, Pilani and B Tech from the University of Rajasthan. He holds six patents that deal with multiple ideas selected from MIT Media Lab Boston Lab Under Harman Research of ADAS Domain. He has submitted many research papers and is privileged to be a reviewer for many international journals.

IEEE and Research Methodology

A two-day workshop on Research Methodology and Technical Paper Writing and IEEE Authorship Lab in technical association with IEEE, ComSoc, Bangalore and Computer Society of India for Economics and Data Science students, selected faculty members and research scholars, was conducted on 13th and 14th September 2019 at CHRIST (Deemed to be University), Lavasa, Pune. The resource person was Dr Navin Kumar, Fellow IE (India). He is a Senior Member of IEEE, IET(UK), AIENG (HK), Life Member IETE and IEEE, ComSoc, Bangalore Chapter and Global ICT Standardisation Forum for India (GISFI). Currently, he is working as an Associate Professor, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bangalore.

The main motivation behind the workshop was to improve research quality apart from creating an environment and culture for research on the Lavasa campus. The workshop’s objectives from an academic perspective, were primarily to ensure that the participants should be able to understand some basic concepts of research and its methodologies, identify appropriate research topics, select and define appropriate research problem and parameters, prepare a project (thesis) proposal (to undertake a project/thesis), organize and conduct research (advanced project) in a more appropriate manner, write a research report, article/paper and thesis, write a research proposal (grants) and review an article and submit the report (peer review process).

 

On successful completion of the BSc Programme, the students will be able to
PO1. Understand and apply the fundamental principles, concepts, and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical, and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with a scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

PSO1: Abstract Thinking: To develop the ability to understand abstract concepts that lead to various data science theories in Mathematics, Statistics, and Computer Science.
PSO2: Problem Analysis and Design Ability: To identify, analyze and design solutions for problems using the fundamental principles of Mathematics, Statistics, Computing
Sciences, and relevant domain disciplines.
PSO3: Modern Software Tool Usage: To acquire the skill of handling data science programming tools for problem-solving and solution analysis for domain-specific problems.
PSO4: Professional Ethics: To understand and commit to professional ethics, cyber regulations, responsibilities, and norms of professional computing practices.
PSO5: Conduct investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis, interpretation of data, and synthesis of the information to provide valid conclusions.
PSO6: Individual and Teamwork: To function effectively as an individual, as a member or as a leader in diverse teams and multidisciplinary environments.
PSO7: Applications in Multidisciplinary domains: To understand the role of statistical approaches and apply the same to solve the real-life problems in the fields of data science.
PSO8: Project Management: To apply research-based knowledge to analyze and solve advanced problems in data science.
 

BSc Data Science is a unique programme designed to impart the essential skills to cater to the fastest growing trends in the industry. The curriculum is a blend of core and advanced specialized courses in Statistics and predictive analytics using R, Python, Machine Learning, Data Visualization with a strong foundation of Mathematics, Communication skills and entrepreneurship. Choice-based electives from other Programs diversify the domain of knowledge in an interdisciplinary manner.

  • To acquire an in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.   
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen analytical and problem-solving skill through developing real-time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to social issues.

A great revolution is taking place in the field of “Big Data Analytics”. Among the new roles that have arisen is “Data Scientist”. Data Scientist is employed to analyse and interpret the digital data, especially to assist business decision making. The globalization and Information Technology revolution has opened not only “Data Scientist” but also many attractive positions for data science graduates. Data Science is the application of statistical and analytical methods to extract insights and knowledge from data. The skills that are required to work as a data scientist from the statistical and algebraic side of mathematics, and from the programming and data management side of computer science with aspects of problem-solving and the ability to work within different disciplines are considered while designing the curriculum. Our curriculum that suits the global requirements for analytics focuses on moulding the students into highly competent Data Scientists.

 

The BSc Data Science Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Business Statistics, Advanced Statistics, Data Mining, Predictive Modelling, Big Data Analytics and Machine Learning. Mini Projects, Industry Exposure, Case studies and Assignments and internships are other unique features of the program. Projects and internships are in line with the course to give a first-hand experience of the business world to the students.

 

Activities

The department of Computer Science of CHRIST (Deemed to be University), Lavasa gives enormous opportunities and training to its students. CHRIST, Lavasa has conducted various workshops and conferences to create more awareness in the field of Data Science.

Data Science Association (DSA)

Data Science Association (DSA) is an initiative of a group of senior academics and students as well as professionals from CHRIST(Deemed to be University), Pune Lavasa. The objective of this association is to promote our students for participating in various club activities that will help them to build and explore the opportunities in the field of Data Science. It will also promote the awareness and study of data science in schools and higher educational institutions and will create a Data Science Code of Professional Conduct and to promote ethical practices in data science at all levels. With these objectives, the DSA have introduced club activities into 5 different clubs. Each club is distinctive and provides different knowledge in the data science domain.

The Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, inaugurated Computer Society of India (CSI) Student Branch and Data Science Association (DSA) for the academic year 2019-20 on 4th September 2019 at Central Block Auditorium, CHRIST, Lavasa. The Chief Guest for the program was Mr Kapil Tiwari; Associate Director & Product Development, SS&C Eze Software, Hyderabad, India.


The Chief Guest, Mr Kapil gave an insightful talk on why Cloud Computing is essential for a Data Scientist. He began the lecture by defining cloud computing basics, the process and challenges faced in data science and how cloud computing is used in data science. He also explained the basics of cloud computing, development and delivery modules, the typical data science process and framework and tools involved in it. Mr Kapil rightly pointed out at the outset that cloud is required for platform independency, dynamic scaling and load balancing, collaborative computing and something which can be measured and monitored.

International Conference’20

The Computer Science Department at CHRIST (Deemed to be University), Lavasa recently conducted the International Conference-IDSCS 2020, which served as a technical gathering of the Internet and Data security professionals to exchange the latest developments that are gaining momentum in the ever-growing global Infrastructure of Computer Science. All accepted, registered and presented high-quality papers were submitted to Springer “Lecture Notes in Networks and Systems” indexed in ISI Proceedings, SCOPUS, Google Scholar and Springer link for publication.


Dr Balachandran Krishnan, Head, Department of Computer Science and Engineering at Kengeri Campus and Professor at CHRIST (Deemed to be University), Bangalore was the speaker and he spoke on the discussion of various types of learning. He insisted upon finding the appropriateness of learning in an environment. Learning involves the logical development of pattern in the process of doing the same task.

Projects with clever insights

Christ (Deemed to be University), Lavasa in collaboration with Clever Insight Open AI Foundation has completed the data analytics project for Right to live Foundation. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. The team from Christ (Deemed to be University), Lavasa has helped the NGO in analyzing the patterns related to donations and has helped them in formulating the plan for its digital marketing to increase the contributions.

Guest Lectures

Guest lecture on Data Visualization Techniques

Department of Data Science organised a guest lecture on `Data Visualization techniques’ by Mr Bastin Robin, Chief Data Scientist, Clever Insight Inc, Bengaluru on 7th March 2020.

The lecture gave an insight into the importance of data visualization along with a detailed explanation of the importance of data storytelling. It was quite informative and interesting and the students listened with rapt attention. The students were quite fascinated to know how different subjects taught in MSc are interconnected. Then Mr Bastin Robin gave a live demonstration of how crime rate analysis in Pune can find a correlation and how the names and results are interconnected. The students were further interested to know more about the basic tools of data visualization.

Guest Lecture On ‘Multivariate Techniques in Data Science’

A guest lecture was delivered on 6th March 2020 organised by the Computer Science Department. The speaker, Dr C Muthu, HoD of Department of Data Science, Loyola College, Chennai talked about `Multivariate Techniques in Data Science’.

The talk clarified concepts like Data Visualization always helps one to understand problems and provides solutions in a better way and thus has a better impact. He practically mentioned that solving real-time problems enhances confidence and gives better knowledge. During the session, Dr C Muthu listed out multiple roles of a Data Scientist (DS). According to him, a data scientist needs to find ways to tackle all sorts of problems in the project, such as, recording real-time data and taking into account the historical data, what type of data needs to be collected, checking data set and handle missing values and outliers.

Workshops

Machine Learning

Mr Dhanesh Solanki, Principal Engineer (Architect), Harman Connected Service Corporation Pvt Ltd (Now Samsung), Bangalore conducted a workshop on `Machine Learning in Python’ on Saturday, 8th February 2020 at Smart Room, Central Block. It was organized by the Department of Data Science, CHRIST (Deemed to be University), Lavasa. Director & Dean, Dr Fr. Jossy P. George and Academic Coordinator, Dr Fr. Arun Antony inaugurated the workshop.

Mr Solanki holds nearly ten years of experience in Data Science and is currently associated with Harman Connected Service Corporation Pvt. Ltd (Now Samsung) as Principal Engineer (Architect) in Automotive Domain "ADAS". He is also a PhD student at the Indian Statistical Institute, Bangalore, and his research topic is Hybrid Deep Neural Network. He holds M Tech from BITS, Pilani and B Tech from the University of Rajasthan. He holds six patents that deal with multiple ideas selected from MIT Media Lab Boston Lab Under Harman Research of ADAS Domain. He has submitted many research papers and is privileged to be a reviewer for many international journals.

IEEE and Research Methodology

A two-day workshop on Research Methodology and Technical Paper Writing and IEEE Authorship Lab in technical association with IEEE, ComSoc, Bangalore and Computer Society of India for Economics and Data Science students, selected faculty members and research scholars, was conducted on 13th and 14th September 2019 at CHRIST (Deemed to be University), Lavasa, Pune. The resource person was Dr Navin Kumar, Fellow IE (India). He is a Senior Member of IEEE, IET(UK), AIENG (HK), Life Member IETE and IEEE, ComSoc, Bangalore Chapter and Global ICT Standardisation Forum for India (GISFI). Currently, he is working as an Associate Professor, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bangalore.

The main motivation behind the workshop was to improve research quality apart from creating an environment and culture for research on the Lavasa campus. The workshop’s objectives from an academic perspective, were primarily to ensure that the participants should be able to understand some basic concepts of research and its methodologies, identify appropriate research topics, select and define appropriate research problem and parameters, prepare a project (thesis) proposal (to undertake a project/thesis), organize and conduct research (advanced project) in a more appropriate manner, write a research report, article/paper and thesis, write a research proposal (grants) and review an article and submit the report (peer review process).

 

On successful completion of the BSc Programme, the students will be able to
PO1. Understand and apply the fundamental principles, concepts, and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical, and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with a scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

PSO1: Abstract Thinking: To develop the ability to understand abstract concepts that lead to various data science theories in Mathematics, Statistics, and Computer Science.
PSO2: Problem Analysis and Design Ability: To identify, analyze and design solutions for problems using the fundamental principles of Mathematics, Statistics, Computing
Sciences, and relevant domain disciplines.
PSO3: Modern Software Tool Usage: To acquire the skill of handling data science programming tools for problem-solving and solution analysis for domain-specific problems.
PSO4: Professional Ethics: To understand and commit to professional ethics, cyber regulations, responsibilities, and norms of professional computing practices.
PSO5: Conduct investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis, interpretation of data, and synthesis of the information to provide valid conclusions.
PSO6: Individual and Teamwork: To function effectively as an individual, as a member or as a leader in diverse teams and multidisciplinary environments.
PSO7: Applications in Multidisciplinary domains: To understand the role of statistical approaches and apply the same to solve the real-life problems in the fields of data science.
PSO8: Project Management: To apply research-based knowledge to analyze and solve advanced problems in data science.
 

For any queries at any given time during the application and admission process, you may contact us through the following Email ID’s:

Pune Lavasa Campus

CHRIST (Deemed to be University),

Christ University Road, 30 Valor Court,

PO Dasve Lavasa, Mulshi, Pune - 412112, Maharashtra

 

 1800-123-2009
  admission.lavasa@christuniversity.in

 

Between: Monday to Friday: 09:00 AM to 05:00 PM, Saturday: 09:00 AM to 04:00 PM
(Office remains closed on Sundays, government holidays and any special events)

BSc Data Science is a unique programme designed to impart the essential skills to cater to the fastest growing trends in the industry. The curriculum is a blend of core and advanced specialized courses in Statistics and predictive analytics using R, Python, Machine Learning, Data Visualization with a strong foundation of Mathematics, Communication skills and entrepreneurship. Choice-based electives from other Programs diversify the domain of knowledge in an interdisciplinary manner.

  • To acquire an in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.   
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen analytical and problem-solving skill through developing real-time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to social issues.

A great revolution is taking place in the field of “Big Data Analytics”. Among the new roles that have arisen is “Data Scientist”. Data Scientist is employed to analyse and interpret the digital data, especially to assist business decision making. The globalization and Information Technology revolution has opened not only “Data Scientist” but also many attractive positions for data science graduates. Data Science is the application of statistical and analytical methods to extract insights and knowledge from data. The skills that are required to work as a data scientist from the statistical and algebraic side of mathematics, and from the programming and data management side of computer science with aspects of problem-solving and the ability to work within different disciplines are considered while designing the curriculum. Our curriculum that suits the global requirements for analytics focuses on moulding the students into highly competent Data Scientists.

 

The BSc Data Science Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Business Statistics, Advanced Statistics, Data Mining, Predictive Modelling, Big Data Analytics and Machine Learning. Mini Projects, Industry Exposure, Case studies and Assignments and internships are other unique features of the program. Projects and internships are in line with the course to give a first-hand experience of the business world to the students.

 

Activities

The department of Computer Science of CHRIST (Deemed to be University), Lavasa gives enormous opportunities and training to its students. CHRIST, Lavasa has conducted various workshops and conferences to create more awareness in the field of Data Science.

Data Science Association (DSA)

Data Science Association (DSA) is an initiative of a group of senior academics and students as well as professionals from CHRIST(Deemed to be University), Pune Lavasa. The objective of this association is to promote our students for participating in various club activities that will help them to build and explore the opportunities in the field of Data Science. It will also promote the awareness and study of data science in schools and higher educational institutions and will create a Data Science Code of Professional Conduct and to promote ethical practices in data science at all levels. With these objectives, the DSA have introduced club activities into 5 different clubs. Each club is distinctive and provides different knowledge in the data science domain.

The Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, inaugurated Computer Society of India (CSI) Student Branch and Data Science Association (DSA) for the academic year 2019-20 on 4th September 2019 at Central Block Auditorium, CHRIST, Lavasa. The Chief Guest for the program was Mr Kapil Tiwari; Associate Director & Product Development, SS&C Eze Software, Hyderabad, India.


The Chief Guest, Mr Kapil gave an insightful talk on why Cloud Computing is essential for a Data Scientist. He began the lecture by defining cloud computing basics, the process and challenges faced in data science and how cloud computing is used in data science. He also explained the basics of cloud computing, development and delivery modules, the typical data science process and framework and tools involved in it. Mr Kapil rightly pointed out at the outset that cloud is required for platform independency, dynamic scaling and load balancing, collaborative computing and something which can be measured and monitored.

International Conference’20

The Computer Science Department at CHRIST (Deemed to be University), Lavasa recently conducted the International Conference-IDSCS 2020, which served as a technical gathering of the Internet and Data security professionals to exchange the latest developments that are gaining momentum in the ever-growing global Infrastructure of Computer Science. All accepted, registered and presented high-quality papers were submitted to Springer “Lecture Notes in Networks and Systems” indexed in ISI Proceedings, SCOPUS, Google Scholar and Springer link for publication.


Dr Balachandran Krishnan, Head, Department of Computer Science and Engineering at Kengeri Campus and Professor at CHRIST (Deemed to be University), Bangalore was the speaker and he spoke on the discussion of various types of learning. He insisted upon finding the appropriateness of learning in an environment. Learning involves the logical development of pattern in the process of doing the same task.

Projects with clever insights

Christ (Deemed to be University), Lavasa in collaboration with Clever Insight Open AI Foundation has completed the data analytics project for Right to live Foundation. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. The team from Christ (Deemed to be University), Lavasa has helped the NGO in analyzing the patterns related to donations and has helped them in formulating the plan for its digital marketing to increase the contributions.

Guest Lectures

Guest lecture on Data Visualization Techniques

Department of Data Science organised a guest lecture on `Data Visualization techniques’ by Mr Bastin Robin, Chief Data Scientist, Clever Insight Inc, Bengaluru on 7th March 2020.

The lecture gave an insight into the importance of data visualization along with a detailed explanation of the importance of data storytelling. It was quite informative and interesting and the students listened with rapt attention. The students were quite fascinated to know how different subjects taught in MSc are interconnected. Then Mr Bastin Robin gave a live demonstration of how crime rate analysis in Pune can find a correlation and how the names and results are interconnected. The students were further interested to know more about the basic tools of data visualization.

Guest Lecture On ‘Multivariate Techniques in Data Science’

A guest lecture was delivered on 6th March 2020 organised by the Computer Science Department. The speaker, Dr C Muthu, HoD of Department of Data Science, Loyola College, Chennai talked about `Multivariate Techniques in Data Science’.

The talk clarified concepts like Data Visualization always helps one to understand problems and provides solutions in a better way and thus has a better impact. He practically mentioned that solving real-time problems enhances confidence and gives better knowledge. During the session, Dr C Muthu listed out multiple roles of a Data Scientist (DS). According to him, a data scientist needs to find ways to tackle all sorts of problems in the project, such as, recording real-time data and taking into account the historical data, what type of data needs to be collected, checking data set and handle missing values and outliers.

Workshops

Machine Learning

Mr Dhanesh Solanki, Principal Engineer (Architect), Harman Connected Service Corporation Pvt Ltd (Now Samsung), Bangalore conducted a workshop on `Machine Learning in Python’ on Saturday, 8th February 2020 at Smart Room, Central Block. It was organized by the Department of Data Science, CHRIST (Deemed to be University), Lavasa. Director & Dean, Dr Fr. Jossy P. George and Academic Coordinator, Dr Fr. Arun Antony inaugurated the workshop.

Mr Solanki holds nearly ten years of experience in Data Science and is currently associated with Harman Connected Service Corporation Pvt. Ltd (Now Samsung) as Principal Engineer (Architect) in Automotive Domain "ADAS". He is also a PhD student at the Indian Statistical Institute, Bangalore, and his research topic is Hybrid Deep Neural Network. He holds M Tech from BITS, Pilani and B Tech from the University of Rajasthan. He holds six patents that deal with multiple ideas selected from MIT Media Lab Boston Lab Under Harman Research of ADAS Domain. He has submitted many research papers and is privileged to be a reviewer for many international journals.

IEEE and Research Methodology

A two-day workshop on Research Methodology and Technical Paper Writing and IEEE Authorship Lab in technical association with IEEE, ComSoc, Bangalore and Computer Society of India for Economics and Data Science students, selected faculty members and research scholars, was conducted on 13th and 14th September 2019 at CHRIST (Deemed to be University), Lavasa, Pune. The resource person was Dr Navin Kumar, Fellow IE (India). He is a Senior Member of IEEE, IET(UK), AIENG (HK), Life Member IETE and IEEE, ComSoc, Bangalore Chapter and Global ICT Standardisation Forum for India (GISFI). Currently, he is working as an Associate Professor, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bangalore.

The main motivation behind the workshop was to improve research quality apart from creating an environment and culture for research on the Lavasa campus. The workshop’s objectives from an academic perspective, were primarily to ensure that the participants should be able to understand some basic concepts of research and its methodologies, identify appropriate research topics, select and define appropriate research problem and parameters, prepare a project (thesis) proposal (to undertake a project/thesis), organize and conduct research (advanced project) in a more appropriate manner, write a research report, article/paper and thesis, write a research proposal (grants) and review an article and submit the report (peer review process).

 

On successful completion of the BSc Programme, the students will be able to
PO1. Understand and apply the fundamental principles, concepts, and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical, and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with a scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

PSO1: Abstract Thinking: To develop the ability to understand abstract concepts that lead to various data science theories in Mathematics, Statistics, and Computer Science.
PSO2: Problem Analysis and Design Ability: To identify, analyze and design solutions for problems using the fundamental principles of Mathematics, Statistics, Computing
Sciences, and relevant domain disciplines.
PSO3: Modern Software Tool Usage: To acquire the skill of handling data science programming tools for problem-solving and solution analysis for domain-specific problems.
PSO4: Professional Ethics: To understand and commit to professional ethics, cyber regulations, responsibilities, and norms of professional computing practices.
PSO5: Conduct investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis, interpretation of data, and synthesis of the information to provide valid conclusions.
PSO6: Individual and Teamwork: To function effectively as an individual, as a member or as a leader in diverse teams and multidisciplinary environments.
PSO7: Applications in Multidisciplinary domains: To understand the role of statistical approaches and apply the same to solve the real-life problems in the fields of data science.
PSO8: Project Management: To apply research-based knowledge to analyze and solve advanced problems in data science.
 

Basic eligibility for the programme is a pass at the +2 level (Maharashtra HSC / ISC / CBSE / NIOS / State Boards) from any recognised Board in India.

Candidates writing the +2 examinations in March-May 2021 may apply with their class X and XI marks.

It is compulsory to have studied (Mathematics) at Class XII level.

Students pursuing International curriculum must note that eligibility is according to AIU stipulations:

Applicants pursuing IB curriculum must have 3 HL and 3 SL with 24 credits.

Applicants pursuing GCE / Edexcel must have a minimum of 3 A levels, grade not less than C.

 

BSc Data Science is a unique programme designed to impart the essential skills to cater to the fastest growing trends in the industry. The curriculum is a blend of core and advanced specialized courses in Statistics and predictive analytics using R, Python, Machine Learning, Data Visualization with a strong foundation of Mathematics, Communication skills and entrepreneurship. Choice-based electives from other Programs diversify the domain of knowledge in an interdisciplinary manner.

  • To acquire an in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.   
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen analytical and problem-solving skill through developing real-time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to social issues.

A great revolution is taking place in the field of “Big Data Analytics”. Among the new roles that have arisen is “Data Scientist”. Data Scientist is employed to analyse and interpret the digital data, especially to assist business decision making. The globalization and Information Technology revolution has opened not only “Data Scientist” but also many attractive positions for data science graduates. Data Science is the application of statistical and analytical methods to extract insights and knowledge from data. The skills that are required to work as a data scientist from the statistical and algebraic side of mathematics, and from the programming and data management side of computer science with aspects of problem-solving and the ability to work within different disciplines are considered while designing the curriculum. Our curriculum that suits the global requirements for analytics focuses on moulding the students into highly competent Data Scientists.

 

The BSc Data Science Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Business Statistics, Advanced Statistics, Data Mining, Predictive Modelling, Big Data Analytics and Machine Learning. Mini Projects, Industry Exposure, Case studies and Assignments and internships are other unique features of the program. Projects and internships are in line with the course to give a first-hand experience of the business world to the students.

 

Activities

The department of Computer Science of CHRIST (Deemed to be University), Lavasa gives enormous opportunities and training to its students. CHRIST, Lavasa has conducted various workshops and conferences to create more awareness in the field of Data Science.

Data Science Association (DSA)

Data Science Association (DSA) is an initiative of a group of senior academics and students as well as professionals from CHRIST(Deemed to be University), Pune Lavasa. The objective of this association is to promote our students for participating in various club activities that will help them to build and explore the opportunities in the field of Data Science. It will also promote the awareness and study of data science in schools and higher educational institutions and will create a Data Science Code of Professional Conduct and to promote ethical practices in data science at all levels. With these objectives, the DSA have introduced club activities into 5 different clubs. Each club is distinctive and provides different knowledge in the data science domain.

The Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, inaugurated Computer Society of India (CSI) Student Branch and Data Science Association (DSA) for the academic year 2019-20 on 4th September 2019 at Central Block Auditorium, CHRIST, Lavasa. The Chief Guest for the program was Mr Kapil Tiwari; Associate Director & Product Development, SS&C Eze Software, Hyderabad, India.


The Chief Guest, Mr Kapil gave an insightful talk on why Cloud Computing is essential for a Data Scientist. He began the lecture by defining cloud computing basics, the process and challenges faced in data science and how cloud computing is used in data science. He also explained the basics of cloud computing, development and delivery modules, the typical data science process and framework and tools involved in it. Mr Kapil rightly pointed out at the outset that cloud is required for platform independency, dynamic scaling and load balancing, collaborative computing and something which can be measured and monitored.

International Conference’20

The Computer Science Department at CHRIST (Deemed to be University), Lavasa recently conducted the International Conference-IDSCS 2020, which served as a technical gathering of the Internet and Data security professionals to exchange the latest developments that are gaining momentum in the ever-growing global Infrastructure of Computer Science. All accepted, registered and presented high-quality papers were submitted to Springer “Lecture Notes in Networks and Systems” indexed in ISI Proceedings, SCOPUS, Google Scholar and Springer link for publication.


Dr Balachandran Krishnan, Head, Department of Computer Science and Engineering at Kengeri Campus and Professor at CHRIST (Deemed to be University), Bangalore was the speaker and he spoke on the discussion of various types of learning. He insisted upon finding the appropriateness of learning in an environment. Learning involves the logical development of pattern in the process of doing the same task.

Projects with clever insights

Christ (Deemed to be University), Lavasa in collaboration with Clever Insight Open AI Foundation has completed the data analytics project for Right to live Foundation. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. The team from Christ (Deemed to be University), Lavasa has helped the NGO in analyzing the patterns related to donations and has helped them in formulating the plan for its digital marketing to increase the contributions.

Guest Lectures

Guest lecture on Data Visualization Techniques

Department of Data Science organised a guest lecture on `Data Visualization techniques’ by Mr Bastin Robin, Chief Data Scientist, Clever Insight Inc, Bengaluru on 7th March 2020.

The lecture gave an insight into the importance of data visualization along with a detailed explanation of the importance of data storytelling. It was quite informative and interesting and the students listened with rapt attention. The students were quite fascinated to know how different subjects taught in MSc are interconnected. Then Mr Bastin Robin gave a live demonstration of how crime rate analysis in Pune can find a correlation and how the names and results are interconnected. The students were further interested to know more about the basic tools of data visualization.

Guest Lecture On ‘Multivariate Techniques in Data Science’

A guest lecture was delivered on 6th March 2020 organised by the Computer Science Department. The speaker, Dr C Muthu, HoD of Department of Data Science, Loyola College, Chennai talked about `Multivariate Techniques in Data Science’.

The talk clarified concepts like Data Visualization always helps one to understand problems and provides solutions in a better way and thus has a better impact. He practically mentioned that solving real-time problems enhances confidence and gives better knowledge. During the session, Dr C Muthu listed out multiple roles of a Data Scientist (DS). According to him, a data scientist needs to find ways to tackle all sorts of problems in the project, such as, recording real-time data and taking into account the historical data, what type of data needs to be collected, checking data set and handle missing values and outliers.

Workshops

Machine Learning

Mr Dhanesh Solanki, Principal Engineer (Architect), Harman Connected Service Corporation Pvt Ltd (Now Samsung), Bangalore conducted a workshop on `Machine Learning in Python’ on Saturday, 8th February 2020 at Smart Room, Central Block. It was organized by the Department of Data Science, CHRIST (Deemed to be University), Lavasa. Director & Dean, Dr Fr. Jossy P. George and Academic Coordinator, Dr Fr. Arun Antony inaugurated the workshop.

Mr Solanki holds nearly ten years of experience in Data Science and is currently associated with Harman Connected Service Corporation Pvt. Ltd (Now Samsung) as Principal Engineer (Architect) in Automotive Domain "ADAS". He is also a PhD student at the Indian Statistical Institute, Bangalore, and his research topic is Hybrid Deep Neural Network. He holds M Tech from BITS, Pilani and B Tech from the University of Rajasthan. He holds six patents that deal with multiple ideas selected from MIT Media Lab Boston Lab Under Harman Research of ADAS Domain. He has submitted many research papers and is privileged to be a reviewer for many international journals.

IEEE and Research Methodology

A two-day workshop on Research Methodology and Technical Paper Writing and IEEE Authorship Lab in technical association with IEEE, ComSoc, Bangalore and Computer Society of India for Economics and Data Science students, selected faculty members and research scholars, was conducted on 13th and 14th September 2019 at CHRIST (Deemed to be University), Lavasa, Pune. The resource person was Dr Navin Kumar, Fellow IE (India). He is a Senior Member of IEEE, IET(UK), AIENG (HK), Life Member IETE and IEEE, ComSoc, Bangalore Chapter and Global ICT Standardisation Forum for India (GISFI). Currently, he is working as an Associate Professor, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bangalore.

The main motivation behind the workshop was to improve research quality apart from creating an environment and culture for research on the Lavasa campus. The workshop’s objectives from an academic perspective, were primarily to ensure that the participants should be able to understand some basic concepts of research and its methodologies, identify appropriate research topics, select and define appropriate research problem and parameters, prepare a project (thesis) proposal (to undertake a project/thesis), organize and conduct research (advanced project) in a more appropriate manner, write a research report, article/paper and thesis, write a research proposal (grants) and review an article and submit the report (peer review process).

 

On successful completion of the BSc Programme, the students will be able to
PO1. Understand and apply the fundamental principles, concepts, and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical, and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with a scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

PSO1: Abstract Thinking: To develop the ability to understand abstract concepts that lead to various data science theories in Mathematics, Statistics, and Computer Science.
PSO2: Problem Analysis and Design Ability: To identify, analyze and design solutions for problems using the fundamental principles of Mathematics, Statistics, Computing
Sciences, and relevant domain disciplines.
PSO3: Modern Software Tool Usage: To acquire the skill of handling data science programming tools for problem-solving and solution analysis for domain-specific problems.
PSO4: Professional Ethics: To understand and commit to professional ethics, cyber regulations, responsibilities, and norms of professional computing practices.
PSO5: Conduct investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis, interpretation of data, and synthesis of the information to provide valid conclusions.
PSO6: Individual and Teamwork: To function effectively as an individual, as a member or as a leader in diverse teams and multidisciplinary environments.
PSO7: Applications in Multidisciplinary domains: To understand the role of statistical approaches and apply the same to solve the real-life problems in the fields of data science.
PSO8: Project Management: To apply research-based knowledge to analyze and solve advanced problems in data science.
 

1. Admission Registration fee of INR 5,000/- (Non-Refundable)

2. Programme fee as per the below table

Year
Indian States
NRI
Saarc / Africa / OCI / PIO / ASEAN
Other Foreign Nationals
1
1,58,000 INR
2,58,500 INR
3,000 USD
3,500 USD
2
1,58,000 INR
2,58,500 INR
3,000 USD
3,500 USD
3
1,58,000 INR
2,58,500 INR
3,000 USD
3,500 USD
Time of Payment : All the candidates have to pay the I Year fee immediately after confirmation of the admission. II & III Year fee must be remitted before the commencement of final examinations of II and IV Semesters respectively.

It is to be noted that though the fee is fixed for three years, there may be a periodic nominal increase to meet the rise in costs.

1. Indian nationals pursuing an international curriculum in India will pay the fee applicable for NRI status for the first year. Indian citizens who have studied foreign syllabi in India for the qualifying examination (applying for UG / PG / MPhil /Ph.D. Programme has to be approved by UGC / AIU).

(The above condition is not applicable to NRI and candidates applied under NRI Category).

2. NRI fee is applicable for the full duration of the programme for candidates who;

2.1. Have pursued and completed their last qualifying exam from outside India.

2.2. Are NRI and candidates who have applied under the NRI category.

3. To claim Indian category fee, the candidates should have studied last 7 years in India. (Not applicable for OCI, PIO, and Foreign Nationals).

4. Admission registration fee of INR 5,000/- is non-refundable in the event of cancellation of admission. This fee will be apart from cancellation charges if any applicable.                      

5. All Candidates If “Selected” after appearing for the final selection process, The fee may be paid through the following option:

  •     Payment can be made through Net banking / NEFT / RTGS
  •     Payment / Transfer of fees does not guarantee admission.

 

BSc Data Science is a unique programme designed to impart the essential skills to cater to the fastest growing trends in the industry. The curriculum is a blend of core and advanced specialized courses in Statistics and predictive analytics using R, Python, Machine Learning, Data Visualization with a strong foundation of Mathematics, Communication skills and entrepreneurship. Choice-based electives from other Programs diversify the domain of knowledge in an interdisciplinary manner.

  • To acquire an in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.   
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen analytical and problem-solving skill through developing real-time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to social issues.

A great revolution is taking place in the field of “Big Data Analytics”. Among the new roles that have arisen is “Data Scientist”. Data Scientist is employed to analyse and interpret the digital data, especially to assist business decision making. The globalization and Information Technology revolution has opened not only “Data Scientist” but also many attractive positions for data science graduates. Data Science is the application of statistical and analytical methods to extract insights and knowledge from data. The skills that are required to work as a data scientist from the statistical and algebraic side of mathematics, and from the programming and data management side of computer science with aspects of problem-solving and the ability to work within different disciplines are considered while designing the curriculum. Our curriculum that suits the global requirements for analytics focuses on moulding the students into highly competent Data Scientists.

 

The BSc Data Science Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Business Statistics, Advanced Statistics, Data Mining, Predictive Modelling, Big Data Analytics and Machine Learning. Mini Projects, Industry Exposure, Case studies and Assignments and internships are other unique features of the program. Projects and internships are in line with the course to give a first-hand experience of the business world to the students.

 

Activities

The department of Computer Science of CHRIST (Deemed to be University), Lavasa gives enormous opportunities and training to its students. CHRIST, Lavasa has conducted various workshops and conferences to create more awareness in the field of Data Science.

Data Science Association (DSA)

Data Science Association (DSA) is an initiative of a group of senior academics and students as well as professionals from CHRIST(Deemed to be University), Pune Lavasa. The objective of this association is to promote our students for participating in various club activities that will help them to build and explore the opportunities in the field of Data Science. It will also promote the awareness and study of data science in schools and higher educational institutions and will create a Data Science Code of Professional Conduct and to promote ethical practices in data science at all levels. With these objectives, the DSA have introduced club activities into 5 different clubs. Each club is distinctive and provides different knowledge in the data science domain.

The Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, inaugurated Computer Society of India (CSI) Student Branch and Data Science Association (DSA) for the academic year 2019-20 on 4th September 2019 at Central Block Auditorium, CHRIST, Lavasa. The Chief Guest for the program was Mr Kapil Tiwari; Associate Director & Product Development, SS&C Eze Software, Hyderabad, India.


The Chief Guest, Mr Kapil gave an insightful talk on why Cloud Computing is essential for a Data Scientist. He began the lecture by defining cloud computing basics, the process and challenges faced in data science and how cloud computing is used in data science. He also explained the basics of cloud computing, development and delivery modules, the typical data science process and framework and tools involved in it. Mr Kapil rightly pointed out at the outset that cloud is required for platform independency, dynamic scaling and load balancing, collaborative computing and something which can be measured and monitored.

International Conference’20

The Computer Science Department at CHRIST (Deemed to be University), Lavasa recently conducted the International Conference-IDSCS 2020, which served as a technical gathering of the Internet and Data security professionals to exchange the latest developments that are gaining momentum in the ever-growing global Infrastructure of Computer Science. All accepted, registered and presented high-quality papers were submitted to Springer “Lecture Notes in Networks and Systems” indexed in ISI Proceedings, SCOPUS, Google Scholar and Springer link for publication.


Dr Balachandran Krishnan, Head, Department of Computer Science and Engineering at Kengeri Campus and Professor at CHRIST (Deemed to be University), Bangalore was the speaker and he spoke on the discussion of various types of learning. He insisted upon finding the appropriateness of learning in an environment. Learning involves the logical development of pattern in the process of doing the same task.

Projects with clever insights

Christ (Deemed to be University), Lavasa in collaboration with Clever Insight Open AI Foundation has completed the data analytics project for Right to live Foundation. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. The team from Christ (Deemed to be University), Lavasa has helped the NGO in analyzing the patterns related to donations and has helped them in formulating the plan for its digital marketing to increase the contributions.

Guest Lectures

Guest lecture on Data Visualization Techniques

Department of Data Science organised a guest lecture on `Data Visualization techniques’ by Mr Bastin Robin, Chief Data Scientist, Clever Insight Inc, Bengaluru on 7th March 2020.

The lecture gave an insight into the importance of data visualization along with a detailed explanation of the importance of data storytelling. It was quite informative and interesting and the students listened with rapt attention. The students were quite fascinated to know how different subjects taught in MSc are interconnected. Then Mr Bastin Robin gave a live demonstration of how crime rate analysis in Pune can find a correlation and how the names and results are interconnected. The students were further interested to know more about the basic tools of data visualization.

Guest Lecture On ‘Multivariate Techniques in Data Science’

A guest lecture was delivered on 6th March 2020 organised by the Computer Science Department. The speaker, Dr C Muthu, HoD of Department of Data Science, Loyola College, Chennai talked about `Multivariate Techniques in Data Science’.

The talk clarified concepts like Data Visualization always helps one to understand problems and provides solutions in a better way and thus has a better impact. He practically mentioned that solving real-time problems enhances confidence and gives better knowledge. During the session, Dr C Muthu listed out multiple roles of a Data Scientist (DS). According to him, a data scientist needs to find ways to tackle all sorts of problems in the project, such as, recording real-time data and taking into account the historical data, what type of data needs to be collected, checking data set and handle missing values and outliers.

Workshops

Machine Learning

Mr Dhanesh Solanki, Principal Engineer (Architect), Harman Connected Service Corporation Pvt Ltd (Now Samsung), Bangalore conducted a workshop on `Machine Learning in Python’ on Saturday, 8th February 2020 at Smart Room, Central Block. It was organized by the Department of Data Science, CHRIST (Deemed to be University), Lavasa. Director & Dean, Dr Fr. Jossy P. George and Academic Coordinator, Dr Fr. Arun Antony inaugurated the workshop.

Mr Solanki holds nearly ten years of experience in Data Science and is currently associated with Harman Connected Service Corporation Pvt. Ltd (Now Samsung) as Principal Engineer (Architect) in Automotive Domain "ADAS". He is also a PhD student at the Indian Statistical Institute, Bangalore, and his research topic is Hybrid Deep Neural Network. He holds M Tech from BITS, Pilani and B Tech from the University of Rajasthan. He holds six patents that deal with multiple ideas selected from MIT Media Lab Boston Lab Under Harman Research of ADAS Domain. He has submitted many research papers and is privileged to be a reviewer for many international journals.

IEEE and Research Methodology

A two-day workshop on Research Methodology and Technical Paper Writing and IEEE Authorship Lab in technical association with IEEE, ComSoc, Bangalore and Computer Society of India for Economics and Data Science students, selected faculty members and research scholars, was conducted on 13th and 14th September 2019 at CHRIST (Deemed to be University), Lavasa, Pune. The resource person was Dr Navin Kumar, Fellow IE (India). He is a Senior Member of IEEE, IET(UK), AIENG (HK), Life Member IETE and IEEE, ComSoc, Bangalore Chapter and Global ICT Standardisation Forum for India (GISFI). Currently, he is working as an Associate Professor, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bangalore.

The main motivation behind the workshop was to improve research quality apart from creating an environment and culture for research on the Lavasa campus. The workshop’s objectives from an academic perspective, were primarily to ensure that the participants should be able to understand some basic concepts of research and its methodologies, identify appropriate research topics, select and define appropriate research problem and parameters, prepare a project (thesis) proposal (to undertake a project/thesis), organize and conduct research (advanced project) in a more appropriate manner, write a research report, article/paper and thesis, write a research proposal (grants) and review an article and submit the report (peer review process).

 

On successful completion of the BSc Programme, the students will be able to
PO1. Understand and apply the fundamental principles, concepts, and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical, and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with a scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

PSO1: Abstract Thinking: To develop the ability to understand abstract concepts that lead to various data science theories in Mathematics, Statistics, and Computer Science.
PSO2: Problem Analysis and Design Ability: To identify, analyze and design solutions for problems using the fundamental principles of Mathematics, Statistics, Computing
Sciences, and relevant domain disciplines.
PSO3: Modern Software Tool Usage: To acquire the skill of handling data science programming tools for problem-solving and solution analysis for domain-specific problems.
PSO4: Professional Ethics: To understand and commit to professional ethics, cyber regulations, responsibilities, and norms of professional computing practices.
PSO5: Conduct investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis, interpretation of data, and synthesis of the information to provide valid conclusions.
PSO6: Individual and Teamwork: To function effectively as an individual, as a member or as a leader in diverse teams and multidisciplinary environments.
PSO7: Applications in Multidisciplinary domains: To understand the role of statistical approaches and apply the same to solve the real-life problems in the fields of data science.
PSO8: Project Management: To apply research-based knowledge to analyze and solve advanced problems in data science.
 

BSc Data Science is a unique programme designed to impart the essential skills to cater to the fastest growing trends in the industry. The curriculum is a blend of core and advanced specialized courses in Statistics and predictive analytics using R, Python, Machine Learning, Data Visualization with a strong foundation of Mathematics, Communication skills and entrepreneurship. Choice-based electives from other Programs diversify the domain of knowledge in an interdisciplinary manner.

  • To acquire an in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.   
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen analytical and problem-solving skill through developing real-time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to social issues.

A great revolution is taking place in the field of “Big Data Analytics”. Among the new roles that have arisen is “Data Scientist”. Data Scientist is employed to analyse and interpret the digital data, especially to assist business decision making. The globalization and Information Technology revolution has opened not only “Data Scientist” but also many attractive positions for data science graduates. Data Science is the application of statistical and analytical methods to extract insights and knowledge from data. The skills that are required to work as a data scientist from the statistical and algebraic side of mathematics, and from the programming and data management side of computer science with aspects of problem-solving and the ability to work within different disciplines are considered while designing the curriculum. Our curriculum that suits the global requirements for analytics focuses on moulding the students into highly competent Data Scientists.

 

The BSc Data Science Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Business Statistics, Advanced Statistics, Data Mining, Predictive Modelling, Big Data Analytics and Machine Learning. Mini Projects, Industry Exposure, Case studies and Assignments and internships are other unique features of the program. Projects and internships are in line with the course to give a first-hand experience of the business world to the students.

 

Activities

The department of Computer Science of CHRIST (Deemed to be University), Lavasa gives enormous opportunities and training to its students. CHRIST, Lavasa has conducted various workshops and conferences to create more awareness in the field of Data Science.

Data Science Association (DSA)

Data Science Association (DSA) is an initiative of a group of senior academics and students as well as professionals from CHRIST(Deemed to be University), Pune Lavasa. The objective of this association is to promote our students for participating in various club activities that will help them to build and explore the opportunities in the field of Data Science. It will also promote the awareness and study of data science in schools and higher educational institutions and will create a Data Science Code of Professional Conduct and to promote ethical practices in data science at all levels. With these objectives, the DSA have introduced club activities into 5 different clubs. Each club is distinctive and provides different knowledge in the data science domain.

The Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, inaugurated Computer Society of India (CSI) Student Branch and Data Science Association (DSA) for the academic year 2019-20 on 4th September 2019 at Central Block Auditorium, CHRIST, Lavasa. The Chief Guest for the program was Mr Kapil Tiwari; Associate Director & Product Development, SS&C Eze Software, Hyderabad, India.


The Chief Guest, Mr Kapil gave an insightful talk on why Cloud Computing is essential for a Data Scientist. He began the lecture by defining cloud computing basics, the process and challenges faced in data science and how cloud computing is used in data science. He also explained the basics of cloud computing, development and delivery modules, the typical data science process and framework and tools involved in it. Mr Kapil rightly pointed out at the outset that cloud is required for platform independency, dynamic scaling and load balancing, collaborative computing and something which can be measured and monitored.

International Conference’20

The Computer Science Department at CHRIST (Deemed to be University), Lavasa recently conducted the International Conference-IDSCS 2020, which served as a technical gathering of the Internet and Data security professionals to exchange the latest developments that are gaining momentum in the ever-growing global Infrastructure of Computer Science. All accepted, registered and presented high-quality papers were submitted to Springer “Lecture Notes in Networks and Systems” indexed in ISI Proceedings, SCOPUS, Google Scholar and Springer link for publication.


Dr Balachandran Krishnan, Head, Department of Computer Science and Engineering at Kengeri Campus and Professor at CHRIST (Deemed to be University), Bangalore was the speaker and he spoke on the discussion of various types of learning. He insisted upon finding the appropriateness of learning in an environment. Learning involves the logical development of pattern in the process of doing the same task.

Projects with clever insights

Christ (Deemed to be University), Lavasa in collaboration with Clever Insight Open AI Foundation has completed the data analytics project for Right to live Foundation. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. The team from Christ (Deemed to be University), Lavasa has helped the NGO in analyzing the patterns related to donations and has helped them in formulating the plan for its digital marketing to increase the contributions.

Guest Lectures

Guest lecture on Data Visualization Techniques

Department of Data Science organised a guest lecture on `Data Visualization techniques’ by Mr Bastin Robin, Chief Data Scientist, Clever Insight Inc, Bengaluru on 7th March 2020.

The lecture gave an insight into the importance of data visualization along with a detailed explanation of the importance of data storytelling. It was quite informative and interesting and the students listened with rapt attention. The students were quite fascinated to know how different subjects taught in MSc are interconnected. Then Mr Bastin Robin gave a live demonstration of how crime rate analysis in Pune can find a correlation and how the names and results are interconnected. The students were further interested to know more about the basic tools of data visualization.

Guest Lecture On ‘Multivariate Techniques in Data Science’

A guest lecture was delivered on 6th March 2020 organised by the Computer Science Department. The speaker, Dr C Muthu, HoD of Department of Data Science, Loyola College, Chennai talked about `Multivariate Techniques in Data Science’.

The talk clarified concepts like Data Visualization always helps one to understand problems and provides solutions in a better way and thus has a better impact. He practically mentioned that solving real-time problems enhances confidence and gives better knowledge. During the session, Dr C Muthu listed out multiple roles of a Data Scientist (DS). According to him, a data scientist needs to find ways to tackle all sorts of problems in the project, such as, recording real-time data and taking into account the historical data, what type of data needs to be collected, checking data set and handle missing values and outliers.

Workshops

Machine Learning

Mr Dhanesh Solanki, Principal Engineer (Architect), Harman Connected Service Corporation Pvt Ltd (Now Samsung), Bangalore conducted a workshop on `Machine Learning in Python’ on Saturday, 8th February 2020 at Smart Room, Central Block. It was organized by the Department of Data Science, CHRIST (Deemed to be University), Lavasa. Director & Dean, Dr Fr. Jossy P. George and Academic Coordinator, Dr Fr. Arun Antony inaugurated the workshop.

Mr Solanki holds nearly ten years of experience in Data Science and is currently associated with Harman Connected Service Corporation Pvt. Ltd (Now Samsung) as Principal Engineer (Architect) in Automotive Domain "ADAS". He is also a PhD student at the Indian Statistical Institute, Bangalore, and his research topic is Hybrid Deep Neural Network. He holds M Tech from BITS, Pilani and B Tech from the University of Rajasthan. He holds six patents that deal with multiple ideas selected from MIT Media Lab Boston Lab Under Harman Research of ADAS Domain. He has submitted many research papers and is privileged to be a reviewer for many international journals.

IEEE and Research Methodology

A two-day workshop on Research Methodology and Technical Paper Writing and IEEE Authorship Lab in technical association with IEEE, ComSoc, Bangalore and Computer Society of India for Economics and Data Science students, selected faculty members and research scholars, was conducted on 13th and 14th September 2019 at CHRIST (Deemed to be University), Lavasa, Pune. The resource person was Dr Navin Kumar, Fellow IE (India). He is a Senior Member of IEEE, IET(UK), AIENG (HK), Life Member IETE and IEEE, ComSoc, Bangalore Chapter and Global ICT Standardisation Forum for India (GISFI). Currently, he is working as an Associate Professor, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bangalore.

The main motivation behind the workshop was to improve research quality apart from creating an environment and culture for research on the Lavasa campus. The workshop’s objectives from an academic perspective, were primarily to ensure that the participants should be able to understand some basic concepts of research and its methodologies, identify appropriate research topics, select and define appropriate research problem and parameters, prepare a project (thesis) proposal (to undertake a project/thesis), organize and conduct research (advanced project) in a more appropriate manner, write a research report, article/paper and thesis, write a research proposal (grants) and review an article and submit the report (peer review process).

 

On successful completion of the BSc Programme, the students will be able to
PO1. Understand and apply the fundamental principles, concepts, and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical, and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with a scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

PSO1: Abstract Thinking: To develop the ability to understand abstract concepts that lead to various data science theories in Mathematics, Statistics, and Computer Science.
PSO2: Problem Analysis and Design Ability: To identify, analyze and design solutions for problems using the fundamental principles of Mathematics, Statistics, Computing
Sciences, and relevant domain disciplines.
PSO3: Modern Software Tool Usage: To acquire the skill of handling data science programming tools for problem-solving and solution analysis for domain-specific problems.
PSO4: Professional Ethics: To understand and commit to professional ethics, cyber regulations, responsibilities, and norms of professional computing practices.
PSO5: Conduct investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis, interpretation of data, and synthesis of the information to provide valid conclusions.
PSO6: Individual and Teamwork: To function effectively as an individual, as a member or as a leader in diverse teams and multidisciplinary environments.
PSO7: Applications in Multidisciplinary domains: To understand the role of statistical approaches and apply the same to solve the real-life problems in the fields of data science.
PSO8: Project Management: To apply research-based knowledge to analyze and solve advanced problems in data science.
 

Candidates will be intimated about the selection status through application status page on the University website www.lavasa.christuniversity.in. The merit cut off will be declared on the 4th day after the declaration of class 12 results (Maharashtra HSC/CBSE/ISC). Other Boards whose results may be declared after the above mentioned Boards will be considered subject to availability of seats.

Note: Candidates must note that if selected, admission is provisional and subject to University rules.

Details on how to process admission will be available on Offer of Admission through ‘Application Status’ link on the University website.

Candidates are required to choose the preferred date and time from available options to facilitate smooth admission process. Admission must be processed at the Office of Admissions, Central Block, CHRIST (Deemed to be University), Hosur Road, Bengaluru – 560029.

As per UGC guidelines, fee payment has to be made through online mode. Payment options and details will be provided to selected candidates through ‘Offer of Admission’ on ‘Application status’ on the University website. Fees for first year including Admission Registration fee must be paid in full as part of the admission process.

Admission will not be processed without the presence of the candidate and the mandatory ORIGINAL DOCUMENTS and one set of photocopies mentioned below;

  • Class 10 Marks Statement (Mandatory).
  • Class 12 Marks Statement (Internet printout) (Mandatory).
  • Transfer Certificate (TC) from the last qualified institution (Mandatory).
  • Migration Certificate of Class XII (applicable for all candidates except Maharashtra State Board) (Mandatory).
  • One Stamp size and One passport size photograph formal dress with white background (Mandatory).  
  • Two Copies of the Online Payment Receipt (Mandatory).
  • Copy of valid ID proof (Aadhar Card / Aadhar Enrolment Receipt).
  • Candidates falling under any of these categories (NRI / PIO / OCI / SAARC / AFRICA / ASEAN / OTHER FOREIGN NATIONALS) have to submit:
  • Copy of Passport and Visa Details (Mandatory).
  • PIO / OCI have to produce the copy of PIO / OCI card whichever is applicable (Mandatory).      
  • Medical Fitness Certificate (MFC) from any recognized medical practitioner certified by the Medical Council of India and
  • Resident Permit (RP) (If available while applying)

All mandatory documents must be submitted for verification during the admission process. An undertaking for pending original documents unavailable currently [applicable only for candidates writing / passing their exam in March – June 2021], must be submitted to the Office of Admissions. These documents must be submitted on or before July 15, 2021. Failure to submit the pending documents will be treated as unsuccessful in the qualifying examination or considered “Not Eligible” and admission will be terminated from CHRIST (Deemed to be University) without any claim.

All admitted students must open an account at South Indian Bank, CHRIST (Deemed to be University) Branch as part of the admission process and must carry relevant ID proof (Aadhar Card and Pan Card). The University ID card is a smart card, which is both an ID cum ATM card with a chip containing the student personal details. All transactions within the University campus after commencement of classes, including fee payment will be processed only through this card. It is also an access card for Library and other restricted places.
Selected candidates who fall under International student category (ISC) should register with the Foreigner Regional Registration Officer (FRRO / FRO) of the Local Police in Pune, India within 14 working days from the date of admission or arriving in Pune.
The date of commencement of the academic Year 2021 - 2022 will be intimated during the admission process.

Please note:

  • The University does not collect any type of capitation/donation other than the fees mentioned on the website.
  • CHRIST (Deemed to be University) does not authorize any Third Party / Agents / Person to apply/offer admission on its behalf. CHRIST (Deemed to be University) will not be responsible for applicants being misguided by such individuals / SMS / Email.
  • All those admitted to the programme will have to purchase a laptop at their own cost if required by the department.
  • Admitted students who wish to avail bank loan will be provided with a recommendation letter on request by presenting the original fee paid receipt to the Office of Admissions.
  • The decision of the admission committee is final and binding.

BSc Data Science is a unique programme designed to impart the essential skills to cater to the fastest growing trends in the industry. The curriculum is a blend of core and advanced specialized courses in Statistics and predictive analytics using R, Python, Machine Learning, Data Visualization with a strong foundation of Mathematics, Communication skills and entrepreneurship. Choice-based electives from other Programs diversify the domain of knowledge in an interdisciplinary manner.

  • To acquire an in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.   
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen analytical and problem-solving skill through developing real-time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to social issues.

A great revolution is taking place in the field of “Big Data Analytics”. Among the new roles that have arisen is “Data Scientist”. Data Scientist is employed to analyse and interpret the digital data, especially to assist business decision making. The globalization and Information Technology revolution has opened not only “Data Scientist” but also many attractive positions for data science graduates. Data Science is the application of statistical and analytical methods to extract insights and knowledge from data. The skills that are required to work as a data scientist from the statistical and algebraic side of mathematics, and from the programming and data management side of computer science with aspects of problem-solving and the ability to work within different disciplines are considered while designing the curriculum. Our curriculum that suits the global requirements for analytics focuses on moulding the students into highly competent Data Scientists.

 

The BSc Data Science Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Business Statistics, Advanced Statistics, Data Mining, Predictive Modelling, Big Data Analytics and Machine Learning. Mini Projects, Industry Exposure, Case studies and Assignments and internships are other unique features of the program. Projects and internships are in line with the course to give a first-hand experience of the business world to the students.

 

Activities

The department of Computer Science of CHRIST (Deemed to be University), Lavasa gives enormous opportunities and training to its students. CHRIST, Lavasa has conducted various workshops and conferences to create more awareness in the field of Data Science.

Data Science Association (DSA)

Data Science Association (DSA) is an initiative of a group of senior academics and students as well as professionals from CHRIST(Deemed to be University), Pune Lavasa. The objective of this association is to promote our students for participating in various club activities that will help them to build and explore the opportunities in the field of Data Science. It will also promote the awareness and study of data science in schools and higher educational institutions and will create a Data Science Code of Professional Conduct and to promote ethical practices in data science at all levels. With these objectives, the DSA have introduced club activities into 5 different clubs. Each club is distinctive and provides different knowledge in the data science domain.

The Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, inaugurated Computer Society of India (CSI) Student Branch and Data Science Association (DSA) for the academic year 2019-20 on 4th September 2019 at Central Block Auditorium, CHRIST, Lavasa. The Chief Guest for the program was Mr Kapil Tiwari; Associate Director & Product Development, SS&C Eze Software, Hyderabad, India.


The Chief Guest, Mr Kapil gave an insightful talk on why Cloud Computing is essential for a Data Scientist. He began the lecture by defining cloud computing basics, the process and challenges faced in data science and how cloud computing is used in data science. He also explained the basics of cloud computing, development and delivery modules, the typical data science process and framework and tools involved in it. Mr Kapil rightly pointed out at the outset that cloud is required for platform independency, dynamic scaling and load balancing, collaborative computing and something which can be measured and monitored.

International Conference’20

The Computer Science Department at CHRIST (Deemed to be University), Lavasa recently conducted the International Conference-IDSCS 2020, which served as a technical gathering of the Internet and Data security professionals to exchange the latest developments that are gaining momentum in the ever-growing global Infrastructure of Computer Science. All accepted, registered and presented high-quality papers were submitted to Springer “Lecture Notes in Networks and Systems” indexed in ISI Proceedings, SCOPUS, Google Scholar and Springer link for publication.


Dr Balachandran Krishnan, Head, Department of Computer Science and Engineering at Kengeri Campus and Professor at CHRIST (Deemed to be University), Bangalore was the speaker and he spoke on the discussion of various types of learning. He insisted upon finding the appropriateness of learning in an environment. Learning involves the logical development of pattern in the process of doing the same task.

Projects with clever insights

Christ (Deemed to be University), Lavasa in collaboration with Clever Insight Open AI Foundation has completed the data analytics project for Right to live Foundation. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. The team from Christ (Deemed to be University), Lavasa has helped the NGO in analyzing the patterns related to donations and has helped them in formulating the plan for its digital marketing to increase the contributions.

Guest Lectures

Guest lecture on Data Visualization Techniques

Department of Data Science organised a guest lecture on `Data Visualization techniques’ by Mr Bastin Robin, Chief Data Scientist, Clever Insight Inc, Bengaluru on 7th March 2020.

The lecture gave an insight into the importance of data visualization along with a detailed explanation of the importance of data storytelling. It was quite informative and interesting and the students listened with rapt attention. The students were quite fascinated to know how different subjects taught in MSc are interconnected. Then Mr Bastin Robin gave a live demonstration of how crime rate analysis in Pune can find a correlation and how the names and results are interconnected. The students were further interested to know more about the basic tools of data visualization.

Guest Lecture On ‘Multivariate Techniques in Data Science’

A guest lecture was delivered on 6th March 2020 organised by the Computer Science Department. The speaker, Dr C Muthu, HoD of Department of Data Science, Loyola College, Chennai talked about `Multivariate Techniques in Data Science’.

The talk clarified concepts like Data Visualization always helps one to understand problems and provides solutions in a better way and thus has a better impact. He practically mentioned that solving real-time problems enhances confidence and gives better knowledge. During the session, Dr C Muthu listed out multiple roles of a Data Scientist (DS). According to him, a data scientist needs to find ways to tackle all sorts of problems in the project, such as, recording real-time data and taking into account the historical data, what type of data needs to be collected, checking data set and handle missing values and outliers.

Workshops

Machine Learning

Mr Dhanesh Solanki, Principal Engineer (Architect), Harman Connected Service Corporation Pvt Ltd (Now Samsung), Bangalore conducted a workshop on `Machine Learning in Python’ on Saturday, 8th February 2020 at Smart Room, Central Block. It was organized by the Department of Data Science, CHRIST (Deemed to be University), Lavasa. Director & Dean, Dr Fr. Jossy P. George and Academic Coordinator, Dr Fr. Arun Antony inaugurated the workshop.

Mr Solanki holds nearly ten years of experience in Data Science and is currently associated with Harman Connected Service Corporation Pvt. Ltd (Now Samsung) as Principal Engineer (Architect) in Automotive Domain "ADAS". He is also a PhD student at the Indian Statistical Institute, Bangalore, and his research topic is Hybrid Deep Neural Network. He holds M Tech from BITS, Pilani and B Tech from the University of Rajasthan. He holds six patents that deal with multiple ideas selected from MIT Media Lab Boston Lab Under Harman Research of ADAS Domain. He has submitted many research papers and is privileged to be a reviewer for many international journals.

IEEE and Research Methodology

A two-day workshop on Research Methodology and Technical Paper Writing and IEEE Authorship Lab in technical association with IEEE, ComSoc, Bangalore and Computer Society of India for Economics and Data Science students, selected faculty members and research scholars, was conducted on 13th and 14th September 2019 at CHRIST (Deemed to be University), Lavasa, Pune. The resource person was Dr Navin Kumar, Fellow IE (India). He is a Senior Member of IEEE, IET(UK), AIENG (HK), Life Member IETE and IEEE, ComSoc, Bangalore Chapter and Global ICT Standardisation Forum for India (GISFI). Currently, he is working as an Associate Professor, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bangalore.

The main motivation behind the workshop was to improve research quality apart from creating an environment and culture for research on the Lavasa campus. The workshop’s objectives from an academic perspective, were primarily to ensure that the participants should be able to understand some basic concepts of research and its methodologies, identify appropriate research topics, select and define appropriate research problem and parameters, prepare a project (thesis) proposal (to undertake a project/thesis), organize and conduct research (advanced project) in a more appropriate manner, write a research report, article/paper and thesis, write a research proposal (grants) and review an article and submit the report (peer review process).

 

On successful completion of the BSc Programme, the students will be able to
PO1. Understand and apply the fundamental principles, concepts, and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical, and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with a scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

PSO1: Abstract Thinking: To develop the ability to understand abstract concepts that lead to various data science theories in Mathematics, Statistics, and Computer Science.
PSO2: Problem Analysis and Design Ability: To identify, analyze and design solutions for problems using the fundamental principles of Mathematics, Statistics, Computing
Sciences, and relevant domain disciplines.
PSO3: Modern Software Tool Usage: To acquire the skill of handling data science programming tools for problem-solving and solution analysis for domain-specific problems.
PSO4: Professional Ethics: To understand and commit to professional ethics, cyber regulations, responsibilities, and norms of professional computing practices.
PSO5: Conduct investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis, interpretation of data, and synthesis of the information to provide valid conclusions.
PSO6: Individual and Teamwork: To function effectively as an individual, as a member or as a leader in diverse teams and multidisciplinary environments.
PSO7: Applications in Multidisciplinary domains: To understand the role of statistical approaches and apply the same to solve the real-life problems in the fields of data science.
PSO8: Project Management: To apply research-based knowledge to analyze and solve advanced problems in data science.
 

All applicants using online mode must visit the online application page.  Register by entering your NAME (as printed on Class 10 Marks Card) EMAIL-ID and set password.  (The email id and mobile number provided will be used for sending confirmation and application status-update messages).

Applications can be filled online prior to the declaration of class XII results and saved. Class XII marks can be entered only after verification of self-attested internet printout of the XII results.

Guidelines to applicants:

  • To fill the application you must have a copy of statement of marks of Class 10, Class 12 (Can be entered only after results are declared) (Mandatory).  
  • Fill-in all the details in the “detailed application” page. Scan and upload recent passport size photograph (3.5 cms x 4.5 cms formal dress with white background) and click “Submit”. On clicking Submit, a viewable and editable page will appear on screen. In case you need to make any corrections you may edit the data/details and then click “Confirm Submission”.
  • Application registration fee may be paid through Credit / Debit Card / Net banking facility (for online applicants only).
  • Choose the payment option and fill-in the required details to process the “Application processing fee”. The application will be submitted online after payment of application processing fee.
  • After the payment is successful you will receive the application number with the option to save your application form (if filling the application prior to the declaration of class XII result).
  • Candidates must submit the filled-in application forms along with the supporting documents (duly self attested) within 3 days of the declaration of Maharashtra HSC/ISC/CBSE results in person/ Parents / Guardian. Applications not submitted to the Office of Admissions within 3 days from the declaration of class XII results (Karnataka PUC/CBSE/ISC) will not be considered for the merit list. Other Boards whose results may be declared after the above mentioned Boards will be considered subject to availability of seats.
  • No application will be considered if submitted by COURIER or POST.
  • Documents to be submitted in Person / Parents / Guardian:
  • Photocopy of Class 10 Marks Card (Mandatory).    
  • Internet copy of Class 12 Marks Card self attested (Mandatory).
  • Valid Category Certificate (For candidates from Karnataka PU applying under various categories) (Mandatory).
  • Baptism Certificate from the Parish Priest / Pastor for Karnataka Christian Students (Mandatory).
  • Registration Payment Receipt from ICAI (Applicable for BCom F & A only).
  • 1 recent passport size and 1 stamp size photographs in formal dress of (Photo size of 35mm x 45mm with white background only - Standard Indian Passport Format only). The application may be rejected if the photograph is not according to the specification.
  • Copy of signed application form. Keep a copy of the application form for further reference.

Candidates falling under any of these categories (NRI / PIO / OCI / SAARC / AFRICA / ASEAN / OTHER FOREIGN NATIONALS) have to submit:

  • Copy of Passport and Visa Details (Mandatory).        
  • Candidates applying under PIO or OCI have to produce the copy of PIO or OCI card whichever is
  • applicable (Mandatory).

Candidates, who are unable to print the application form due to system / power / internet failure, may log on to the “Application Status” link and enter your email id, password and captcha details to view and print the application form.


After processing the Application Forms, the cut off percentage will be declared and displayed on the University notice board / University website. No postal / telephonic / e-mail communication will be given from the University. The University does not authorize any individual or organization to operate on its behalf.

 

BSc Data Science is a unique programme designed to impart the essential skills to cater to the fastest growing trends in the industry. The curriculum is a blend of core and advanced specialized courses in Statistics and predictive analytics using R, Python, Machine Learning, Data Visualization with a strong foundation of Mathematics, Communication skills and entrepreneurship. Choice-based electives from other Programs diversify the domain of knowledge in an interdisciplinary manner.

  • To acquire an in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.   
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen analytical and problem-solving skill through developing real-time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to social issues.

A great revolution is taking place in the field of “Big Data Analytics”. Among the new roles that have arisen is “Data Scientist”. Data Scientist is employed to analyse and interpret the digital data, especially to assist business decision making. The globalization and Information Technology revolution has opened not only “Data Scientist” but also many attractive positions for data science graduates. Data Science is the application of statistical and analytical methods to extract insights and knowledge from data. The skills that are required to work as a data scientist from the statistical and algebraic side of mathematics, and from the programming and data management side of computer science with aspects of problem-solving and the ability to work within different disciplines are considered while designing the curriculum. Our curriculum that suits the global requirements for analytics focuses on moulding the students into highly competent Data Scientists.

 

The BSc Data Science Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Business Statistics, Advanced Statistics, Data Mining, Predictive Modelling, Big Data Analytics and Machine Learning. Mini Projects, Industry Exposure, Case studies and Assignments and internships are other unique features of the program. Projects and internships are in line with the course to give a first-hand experience of the business world to the students.

 

Activities

The department of Computer Science of CHRIST (Deemed to be University), Lavasa gives enormous opportunities and training to its students. CHRIST, Lavasa has conducted various workshops and conferences to create more awareness in the field of Data Science.

Data Science Association (DSA)

Data Science Association (DSA) is an initiative of a group of senior academics and students as well as professionals from CHRIST(Deemed to be University), Pune Lavasa. The objective of this association is to promote our students for participating in various club activities that will help them to build and explore the opportunities in the field of Data Science. It will also promote the awareness and study of data science in schools and higher educational institutions and will create a Data Science Code of Professional Conduct and to promote ethical practices in data science at all levels. With these objectives, the DSA have introduced club activities into 5 different clubs. Each club is distinctive and provides different knowledge in the data science domain.

The Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, inaugurated Computer Society of India (CSI) Student Branch and Data Science Association (DSA) for the academic year 2019-20 on 4th September 2019 at Central Block Auditorium, CHRIST, Lavasa. The Chief Guest for the program was Mr Kapil Tiwari; Associate Director & Product Development, SS&C Eze Software, Hyderabad, India.


The Chief Guest, Mr Kapil gave an insightful talk on why Cloud Computing is essential for a Data Scientist. He began the lecture by defining cloud computing basics, the process and challenges faced in data science and how cloud computing is used in data science. He also explained the basics of cloud computing, development and delivery modules, the typical data science process and framework and tools involved in it. Mr Kapil rightly pointed out at the outset that cloud is required for platform independency, dynamic scaling and load balancing, collaborative computing and something which can be measured and monitored.

International Conference’20

The Computer Science Department at CHRIST (Deemed to be University), Lavasa recently conducted the International Conference-IDSCS 2020, which served as a technical gathering of the Internet and Data security professionals to exchange the latest developments that are gaining momentum in the ever-growing global Infrastructure of Computer Science. All accepted, registered and presented high-quality papers were submitted to Springer “Lecture Notes in Networks and Systems” indexed in ISI Proceedings, SCOPUS, Google Scholar and Springer link for publication.


Dr Balachandran Krishnan, Head, Department of Computer Science and Engineering at Kengeri Campus and Professor at CHRIST (Deemed to be University), Bangalore was the speaker and he spoke on the discussion of various types of learning. He insisted upon finding the appropriateness of learning in an environment. Learning involves the logical development of pattern in the process of doing the same task.

Projects with clever insights

Christ (Deemed to be University), Lavasa in collaboration with Clever Insight Open AI Foundation has completed the data analytics project for Right to live Foundation. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. The team from Christ (Deemed to be University), Lavasa has helped the NGO in analyzing the patterns related to donations and has helped them in formulating the plan for its digital marketing to increase the contributions.

Guest Lectures

Guest lecture on Data Visualization Techniques

Department of Data Science organised a guest lecture on `Data Visualization techniques’ by Mr Bastin Robin, Chief Data Scientist, Clever Insight Inc, Bengaluru on 7th March 2020.

The lecture gave an insight into the importance of data visualization along with a detailed explanation of the importance of data storytelling. It was quite informative and interesting and the students listened with rapt attention. The students were quite fascinated to know how different subjects taught in MSc are interconnected. Then Mr Bastin Robin gave a live demonstration of how crime rate analysis in Pune can find a correlation and how the names and results are interconnected. The students were further interested to know more about the basic tools of data visualization.

Guest Lecture On ‘Multivariate Techniques in Data Science’

A guest lecture was delivered on 6th March 2020 organised by the Computer Science Department. The speaker, Dr C Muthu, HoD of Department of Data Science, Loyola College, Chennai talked about `Multivariate Techniques in Data Science’.

The talk clarified concepts like Data Visualization always helps one to understand problems and provides solutions in a better way and thus has a better impact. He practically mentioned that solving real-time problems enhances confidence and gives better knowledge. During the session, Dr C Muthu listed out multiple roles of a Data Scientist (DS). According to him, a data scientist needs to find ways to tackle all sorts of problems in the project, such as, recording real-time data and taking into account the historical data, what type of data needs to be collected, checking data set and handle missing values and outliers.

Workshops

Machine Learning

Mr Dhanesh Solanki, Principal Engineer (Architect), Harman Connected Service Corporation Pvt Ltd (Now Samsung), Bangalore conducted a workshop on `Machine Learning in Python’ on Saturday, 8th February 2020 at Smart Room, Central Block. It was organized by the Department of Data Science, CHRIST (Deemed to be University), Lavasa. Director & Dean, Dr Fr. Jossy P. George and Academic Coordinator, Dr Fr. Arun Antony inaugurated the workshop.

Mr Solanki holds nearly ten years of experience in Data Science and is currently associated with Harman Connected Service Corporation Pvt. Ltd (Now Samsung) as Principal Engineer (Architect) in Automotive Domain "ADAS". He is also a PhD student at the Indian Statistical Institute, Bangalore, and his research topic is Hybrid Deep Neural Network. He holds M Tech from BITS, Pilani and B Tech from the University of Rajasthan. He holds six patents that deal with multiple ideas selected from MIT Media Lab Boston Lab Under Harman Research of ADAS Domain. He has submitted many research papers and is privileged to be a reviewer for many international journals.

IEEE and Research Methodology

A two-day workshop on Research Methodology and Technical Paper Writing and IEEE Authorship Lab in technical association with IEEE, ComSoc, Bangalore and Computer Society of India for Economics and Data Science students, selected faculty members and research scholars, was conducted on 13th and 14th September 2019 at CHRIST (Deemed to be University), Lavasa, Pune. The resource person was Dr Navin Kumar, Fellow IE (India). He is a Senior Member of IEEE, IET(UK), AIENG (HK), Life Member IETE and IEEE, ComSoc, Bangalore Chapter and Global ICT Standardisation Forum for India (GISFI). Currently, he is working as an Associate Professor, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bangalore.

The main motivation behind the workshop was to improve research quality apart from creating an environment and culture for research on the Lavasa campus. The workshop’s objectives from an academic perspective, were primarily to ensure that the participants should be able to understand some basic concepts of research and its methodologies, identify appropriate research topics, select and define appropriate research problem and parameters, prepare a project (thesis) proposal (to undertake a project/thesis), organize and conduct research (advanced project) in a more appropriate manner, write a research report, article/paper and thesis, write a research proposal (grants) and review an article and submit the report (peer review process).

 

On successful completion of the BSc Programme, the students will be able to
PO1. Understand and apply the fundamental principles, concepts, and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical, and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with a scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

PSO1: Abstract Thinking: To develop the ability to understand abstract concepts that lead to various data science theories in Mathematics, Statistics, and Computer Science.
PSO2: Problem Analysis and Design Ability: To identify, analyze and design solutions for problems using the fundamental principles of Mathematics, Statistics, Computing
Sciences, and relevant domain disciplines.
PSO3: Modern Software Tool Usage: To acquire the skill of handling data science programming tools for problem-solving and solution analysis for domain-specific problems.
PSO4: Professional Ethics: To understand and commit to professional ethics, cyber regulations, responsibilities, and norms of professional computing practices.
PSO5: Conduct investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis, interpretation of data, and synthesis of the information to provide valid conclusions.
PSO6: Individual and Teamwork: To function effectively as an individual, as a member or as a leader in diverse teams and multidisciplinary environments.
PSO7: Applications in Multidisciplinary domains: To understand the role of statistical approaches and apply the same to solve the real-life problems in the fields of data science.
PSO8: Project Management: To apply research-based knowledge to analyze and solve advanced problems in data science.
 

The teachers of the Data Science Department give the students special counselling and remedial sessions for the benefit of their overall development. It focuses on personal as well as academic guidance for growth and competence. Every teacher mentor is allotted with 2-3 students. The teachers extend their support for student’s needs both in academic as well as personal space. During these sessions students clear their doubts, share their problems and develop a bond with the mentor which in turn helps and benefits the individuals. This is considered an essential practice of the programme as it goes beyond the classroom dynamics helping them to grow and develop into mature human beings.
 

BSc Data Science is a unique programme designed to impart the essential skills to cater to the fastest growing trends in the industry. The curriculum is a blend of core and advanced specialized courses in Statistics and predictive analytics using R, Python, Machine Learning, Data Visualization with a strong foundation of Mathematics, Communication skills and entrepreneurship. Choice-based electives from other Programs diversify the domain of knowledge in an interdisciplinary manner.

  • To acquire an in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.   
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen analytical and problem-solving skill through developing real-time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to social issues.

A great revolution is taking place in the field of “Big Data Analytics”. Among the new roles that have arisen is “Data Scientist”. Data Scientist is employed to analyse and interpret the digital data, especially to assist business decision making. The globalization and Information Technology revolution has opened not only “Data Scientist” but also many attractive positions for data science graduates. Data Science is the application of statistical and analytical methods to extract insights and knowledge from data. The skills that are required to work as a data scientist from the statistical and algebraic side of mathematics, and from the programming and data management side of computer science with aspects of problem-solving and the ability to work within different disciplines are considered while designing the curriculum. Our curriculum that suits the global requirements for analytics focuses on moulding the students into highly competent Data Scientists.

 

The BSc Data Science Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Business Statistics, Advanced Statistics, Data Mining, Predictive Modelling, Big Data Analytics and Machine Learning. Mini Projects, Industry Exposure, Case studies and Assignments and internships are other unique features of the program. Projects and internships are in line with the course to give a first-hand experience of the business world to the students.

 

Activities

The department of Computer Science of CHRIST (Deemed to be University), Lavasa gives enormous opportunities and training to its students. CHRIST, Lavasa has conducted various workshops and conferences to create more awareness in the field of Data Science.

Data Science Association (DSA)

Data Science Association (DSA) is an initiative of a group of senior academics and students as well as professionals from CHRIST(Deemed to be University), Pune Lavasa. The objective of this association is to promote our students for participating in various club activities that will help them to build and explore the opportunities in the field of Data Science. It will also promote the awareness and study of data science in schools and higher educational institutions and will create a Data Science Code of Professional Conduct and to promote ethical practices in data science at all levels. With these objectives, the DSA have introduced club activities into 5 different clubs. Each club is distinctive and provides different knowledge in the data science domain.

The Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, inaugurated Computer Society of India (CSI) Student Branch and Data Science Association (DSA) for the academic year 2019-20 on 4th September 2019 at Central Block Auditorium, CHRIST, Lavasa. The Chief Guest for the program was Mr Kapil Tiwari; Associate Director & Product Development, SS&C Eze Software, Hyderabad, India.


The Chief Guest, Mr Kapil gave an insightful talk on why Cloud Computing is essential for a Data Scientist. He began the lecture by defining cloud computing basics, the process and challenges faced in data science and how cloud computing is used in data science. He also explained the basics of cloud computing, development and delivery modules, the typical data science process and framework and tools involved in it. Mr Kapil rightly pointed out at the outset that cloud is required for platform independency, dynamic scaling and load balancing, collaborative computing and something which can be measured and monitored.

International Conference’20

The Computer Science Department at CHRIST (Deemed to be University), Lavasa recently conducted the International Conference-IDSCS 2020, which served as a technical gathering of the Internet and Data security professionals to exchange the latest developments that are gaining momentum in the ever-growing global Infrastructure of Computer Science. All accepted, registered and presented high-quality papers were submitted to Springer “Lecture Notes in Networks and Systems” indexed in ISI Proceedings, SCOPUS, Google Scholar and Springer link for publication.


Dr Balachandran Krishnan, Head, Department of Computer Science and Engineering at Kengeri Campus and Professor at CHRIST (Deemed to be University), Bangalore was the speaker and he spoke on the discussion of various types of learning. He insisted upon finding the appropriateness of learning in an environment. Learning involves the logical development of pattern in the process of doing the same task.

Projects with clever insights

Christ (Deemed to be University), Lavasa in collaboration with Clever Insight Open AI Foundation has completed the data analytics project for Right to live Foundation. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. The team from Christ (Deemed to be University), Lavasa has helped the NGO in analyzing the patterns related to donations and has helped them in formulating the plan for its digital marketing to increase the contributions.

Guest Lectures

Guest lecture on Data Visualization Techniques

Department of Data Science organised a guest lecture on `Data Visualization techniques’ by Mr Bastin Robin, Chief Data Scientist, Clever Insight Inc, Bengaluru on 7th March 2020.

The lecture gave an insight into the importance of data visualization along with a detailed explanation of the importance of data storytelling. It was quite informative and interesting and the students listened with rapt attention. The students were quite fascinated to know how different subjects taught in MSc are interconnected. Then Mr Bastin Robin gave a live demonstration of how crime rate analysis in Pune can find a correlation and how the names and results are interconnected. The students were further interested to know more about the basic tools of data visualization.

Guest Lecture On ‘Multivariate Techniques in Data Science’

A guest lecture was delivered on 6th March 2020 organised by the Computer Science Department. The speaker, Dr C Muthu, HoD of Department of Data Science, Loyola College, Chennai talked about `Multivariate Techniques in Data Science’.

The talk clarified concepts like Data Visualization always helps one to understand problems and provides solutions in a better way and thus has a better impact. He practically mentioned that solving real-time problems enhances confidence and gives better knowledge. During the session, Dr C Muthu listed out multiple roles of a Data Scientist (DS). According to him, a data scientist needs to find ways to tackle all sorts of problems in the project, such as, recording real-time data and taking into account the historical data, what type of data needs to be collected, checking data set and handle missing values and outliers.

Workshops

Machine Learning

Mr Dhanesh Solanki, Principal Engineer (Architect), Harman Connected Service Corporation Pvt Ltd (Now Samsung), Bangalore conducted a workshop on `Machine Learning in Python’ on Saturday, 8th February 2020 at Smart Room, Central Block. It was organized by the Department of Data Science, CHRIST (Deemed to be University), Lavasa. Director & Dean, Dr Fr. Jossy P. George and Academic Coordinator, Dr Fr. Arun Antony inaugurated the workshop.

Mr Solanki holds nearly ten years of experience in Data Science and is currently associated with Harman Connected Service Corporation Pvt. Ltd (Now Samsung) as Principal Engineer (Architect) in Automotive Domain "ADAS". He is also a PhD student at the Indian Statistical Institute, Bangalore, and his research topic is Hybrid Deep Neural Network. He holds M Tech from BITS, Pilani and B Tech from the University of Rajasthan. He holds six patents that deal with multiple ideas selected from MIT Media Lab Boston Lab Under Harman Research of ADAS Domain. He has submitted many research papers and is privileged to be a reviewer for many international journals.

IEEE and Research Methodology

A two-day workshop on Research Methodology and Technical Paper Writing and IEEE Authorship Lab in technical association with IEEE, ComSoc, Bangalore and Computer Society of India for Economics and Data Science students, selected faculty members and research scholars, was conducted on 13th and 14th September 2019 at CHRIST (Deemed to be University), Lavasa, Pune. The resource person was Dr Navin Kumar, Fellow IE (India). He is a Senior Member of IEEE, IET(UK), AIENG (HK), Life Member IETE and IEEE, ComSoc, Bangalore Chapter and Global ICT Standardisation Forum for India (GISFI). Currently, he is working as an Associate Professor, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bangalore.

The main motivation behind the workshop was to improve research quality apart from creating an environment and culture for research on the Lavasa campus. The workshop’s objectives from an academic perspective, were primarily to ensure that the participants should be able to understand some basic concepts of research and its methodologies, identify appropriate research topics, select and define appropriate research problem and parameters, prepare a project (thesis) proposal (to undertake a project/thesis), organize and conduct research (advanced project) in a more appropriate manner, write a research report, article/paper and thesis, write a research proposal (grants) and review an article and submit the report (peer review process).

 

On successful completion of the BSc Programme, the students will be able to
PO1. Understand and apply the fundamental principles, concepts, and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical, and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with a scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

PSO1: Abstract Thinking: To develop the ability to understand abstract concepts that lead to various data science theories in Mathematics, Statistics, and Computer Science.
PSO2: Problem Analysis and Design Ability: To identify, analyze and design solutions for problems using the fundamental principles of Mathematics, Statistics, Computing
Sciences, and relevant domain disciplines.
PSO3: Modern Software Tool Usage: To acquire the skill of handling data science programming tools for problem-solving and solution analysis for domain-specific problems.
PSO4: Professional Ethics: To understand and commit to professional ethics, cyber regulations, responsibilities, and norms of professional computing practices.
PSO5: Conduct investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis, interpretation of data, and synthesis of the information to provide valid conclusions.
PSO6: Individual and Teamwork: To function effectively as an individual, as a member or as a leader in diverse teams and multidisciplinary environments.
PSO7: Applications in Multidisciplinary domains: To understand the role of statistical approaches and apply the same to solve the real-life problems in the fields of data science.
PSO8: Project Management: To apply research-based knowledge to analyze and solve advanced problems in data science.
 

Selection for the programme will be based on the performance in class XII.  After processing the Application forms of candidates whose supporting documents are submitted to the office within 3 days of the declaration of the class XII result (Maharashtra HSC/ISC/CBSE), the cut-off percentage will be declared and displayed on the University notice board/University website. No postal/telephonic/e-mail communication will be given from the University. Other Boards whose results may be declared after the above-mentioned Boards will be considered subject to the availability of seats. The University does not authorize any individual or organization to operate on its behalf.

  • The candidate will be intimated through appstat link: http://applavasa.christuniversity.in/ on the University website www.lavasa.christuniversity.in. No other communication will be made.    
  • Candidates failing to submit the application within the stipulated date and time will be considered as “Not Selected”.    
  • Candidates not submitting the category certificate from the concerned Maharashtra authorities will fall under general merit.    
  • Only Natives of Maharashtra, who can produce relevant documents from their Parish Priest/Pastor, will be considered under the “CHRISTIANITY CATHOLIC” and “CHRISTIANITY NON-CATHOLIC” category.    

BSc Data Science is a unique programme designed to impart the essential skills to cater to the fastest growing trends in the industry. The curriculum is a blend of core and advanced specialized courses in Statistics and predictive analytics using R, Python, Machine Learning, Data Visualization with a strong foundation of Mathematics, Communication skills and entrepreneurship. Choice-based electives from other Programs diversify the domain of knowledge in an interdisciplinary manner.

  • To acquire an in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.   
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen analytical and problem-solving skill through developing real-time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to social issues.

A great revolution is taking place in the field of “Big Data Analytics”. Among the new roles that have arisen is “Data Scientist”. Data Scientist is employed to analyse and interpret the digital data, especially to assist business decision making. The globalization and Information Technology revolution has opened not only “Data Scientist” but also many attractive positions for data science graduates. Data Science is the application of statistical and analytical methods to extract insights and knowledge from data. The skills that are required to work as a data scientist from the statistical and algebraic side of mathematics, and from the programming and data management side of computer science with aspects of problem-solving and the ability to work within different disciplines are considered while designing the curriculum. Our curriculum that suits the global requirements for analytics focuses on moulding the students into highly competent Data Scientists.

 

The BSc Data Science Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Business Statistics, Advanced Statistics, Data Mining, Predictive Modelling, Big Data Analytics and Machine Learning. Mini Projects, Industry Exposure, Case studies and Assignments and internships are other unique features of the program. Projects and internships are in line with the course to give a first-hand experience of the business world to the students.

 

Activities

The department of Computer Science of CHRIST (Deemed to be University), Lavasa gives enormous opportunities and training to its students. CHRIST, Lavasa has conducted various workshops and conferences to create more awareness in the field of Data Science.

Data Science Association (DSA)

Data Science Association (DSA) is an initiative of a group of senior academics and students as well as professionals from CHRIST(Deemed to be University), Pune Lavasa. The objective of this association is to promote our students for participating in various club activities that will help them to build and explore the opportunities in the field of Data Science. It will also promote the awareness and study of data science in schools and higher educational institutions and will create a Data Science Code of Professional Conduct and to promote ethical practices in data science at all levels. With these objectives, the DSA have introduced club activities into 5 different clubs. Each club is distinctive and provides different knowledge in the data science domain.

The Department of Data Science, CHRIST (Deemed to be University), Lavasa Campus, inaugurated Computer Society of India (CSI) Student Branch and Data Science Association (DSA) for the academic year 2019-20 on 4th September 2019 at Central Block Auditorium, CHRIST, Lavasa. The Chief Guest for the program was Mr Kapil Tiwari; Associate Director & Product Development, SS&C Eze Software, Hyderabad, India.


The Chief Guest, Mr Kapil gave an insightful talk on why Cloud Computing is essential for a Data Scientist. He began the lecture by defining cloud computing basics, the process and challenges faced in data science and how cloud computing is used in data science. He also explained the basics of cloud computing, development and delivery modules, the typical data science process and framework and tools involved in it. Mr Kapil rightly pointed out at the outset that cloud is required for platform independency, dynamic scaling and load balancing, collaborative computing and something which can be measured and monitored.

International Conference’20

The Computer Science Department at CHRIST (Deemed to be University), Lavasa recently conducted the International Conference-IDSCS 2020, which served as a technical gathering of the Internet and Data security professionals to exchange the latest developments that are gaining momentum in the ever-growing global Infrastructure of Computer Science. All accepted, registered and presented high-quality papers were submitted to Springer “Lecture Notes in Networks and Systems” indexed in ISI Proceedings, SCOPUS, Google Scholar and Springer link for publication.


Dr Balachandran Krishnan, Head, Department of Computer Science and Engineering at Kengeri Campus and Professor at CHRIST (Deemed to be University), Bangalore was the speaker and he spoke on the discussion of various types of learning. He insisted upon finding the appropriateness of learning in an environment. Learning involves the logical development of pattern in the process of doing the same task.

Projects with clever insights

Christ (Deemed to be University), Lavasa in collaboration with Clever Insight Open AI Foundation has completed the data analytics project for Right to live Foundation. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. Right to Live, an initiative by Kote Foundation, was started with a mission of helping the less privileged improve their standard of living with access to essential services such as Health, Education, Basic Infrastructure, Clean environment and Digital inclusion. The team from Christ (Deemed to be University), Lavasa has helped the NGO in analyzing the patterns related to donations and has helped them in formulating the plan for its digital marketing to increase the contributions.

Guest Lectures

Guest lecture on Data Visualization Techniques

Department of Data Science organised a guest lecture on `Data Visualization techniques’ by Mr Bastin Robin, Chief Data Scientist, Clever Insight Inc, Bengaluru on 7th March 2020.

The lecture gave an insight into the importance of data visualization along with a detailed explanation of the importance of data storytelling. It was quite informative and interesting and the students listened with rapt attention. The students were quite fascinated to know how different subjects taught in MSc are interconnected. Then Mr Bastin Robin gave a live demonstration of how crime rate analysis in Pune can find a correlation and how the names and results are interconnected. The students were further interested to know more about the basic tools of data visualization.

Guest Lecture On ‘Multivariate Techniques in Data Science’

A guest lecture was delivered on 6th March 2020 organised by the Computer Science Department. The speaker, Dr C Muthu, HoD of Department of Data Science, Loyola College, Chennai talked about `Multivariate Techniques in Data Science’.

The talk clarified concepts like Data Visualization always helps one to understand problems and provides solutions in a better way and thus has a better impact. He practically mentioned that solving real-time problems enhances confidence and gives better knowledge. During the session, Dr C Muthu listed out multiple roles of a Data Scientist (DS). According to him, a data scientist needs to find ways to tackle all sorts of problems in the project, such as, recording real-time data and taking into account the historical data, what type of data needs to be collected, checking data set and handle missing values and outliers.

Workshops

Machine Learning

Mr Dhanesh Solanki, Principal Engineer (Architect), Harman Connected Service Corporation Pvt Ltd (Now Samsung), Bangalore conducted a workshop on `Machine Learning in Python’ on Saturday, 8th February 2020 at Smart Room, Central Block. It was organized by the Department of Data Science, CHRIST (Deemed to be University), Lavasa. Director & Dean, Dr Fr. Jossy P. George and Academic Coordinator, Dr Fr. Arun Antony inaugurated the workshop.

Mr Solanki holds nearly ten years of experience in Data Science and is currently associated with Harman Connected Service Corporation Pvt. Ltd (Now Samsung) as Principal Engineer (Architect) in Automotive Domain "ADAS". He is also a PhD student at the Indian Statistical Institute, Bangalore, and his research topic is Hybrid Deep Neural Network. He holds M Tech from BITS, Pilani and B Tech from the University of Rajasthan. He holds six patents that deal with multiple ideas selected from MIT Media Lab Boston Lab Under Harman Research of ADAS Domain. He has submitted many research papers and is privileged to be a reviewer for many international journals.

IEEE and Research Methodology

A two-day workshop on Research Methodology and Technical Paper Writing and IEEE Authorship Lab in technical association with IEEE, ComSoc, Bangalore and Computer Society of India for Economics and Data Science students, selected faculty members and research scholars, was conducted on 13th and 14th September 2019 at CHRIST (Deemed to be University), Lavasa, Pune. The resource person was Dr Navin Kumar, Fellow IE (India). He is a Senior Member of IEEE, IET(UK), AIENG (HK), Life Member IETE and IEEE, ComSoc, Bangalore Chapter and Global ICT Standardisation Forum for India (GISFI). Currently, he is working as an Associate Professor, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Bangalore.

The main motivation behind the workshop was to improve research quality apart from creating an environment and culture for research on the Lavasa campus. The workshop’s objectives from an academic perspective, were primarily to ensure that the participants should be able to understand some basic concepts of research and its methodologies, identify appropriate research topics, select and define appropriate research problem and parameters, prepare a project (thesis) proposal (to undertake a project/thesis), organize and conduct research (advanced project) in a more appropriate manner, write a research report, article/paper and thesis, write a research proposal (grants) and review an article and submit the report (peer review process).

 

On successful completion of the BSc Programme, the students will be able to
PO1. Understand and apply the fundamental principles, concepts, and methods in critical areas of science and multidisciplinary fields.
PO2. Demonstrate problem-solving, analytical, and logical skills to provide solutions for scientific requirements.
PO3. Develop critical thinking with a scientific temper.
PO4. Communicate the subject effectively.
PO5. Understand the importance and judicious use of technology for the sustainable growth of humanity in synergy with nature.
PO6. Understand professional, ethical, and social responsibilities.
PO7. Enhance research culture and uphold scientific integrity and objectivity.
PO8. Engage in continuous reflective learning in the context of technological and scientific advancements.
 

PSO1: Abstract Thinking: To develop the ability to understand abstract concepts that lead to various data science theories in Mathematics, Statistics, and Computer Science.
PSO2: Problem Analysis and Design Ability: To identify, analyze and design solutions for problems using the fundamental principles of Mathematics, Statistics, Computing
Sciences, and relevant domain disciplines.
PSO3: Modern Software Tool Usage: To acquire the skill of handling data science programming tools for problem-solving and solution analysis for domain-specific problems.
PSO4: Professional Ethics: To understand and commit to professional ethics, cyber regulations, responsibilities, and norms of professional computing practices.
PSO5: Conduct investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis, interpretation of data, and synthesis of the information to provide valid conclusions.
PSO6: Individual and Teamwork: To function effectively as an individual, as a member or as a leader in diverse teams and multidisciplinary environments.
PSO7: Applications in Multidisciplinary domains: To understand the role of statistical approaches and apply the same to solve the real-life problems in the fields of data science.
PSO8: Project Management: To apply research-based knowledge to analyze and solve advanced problems in data science.
 

The Bachelor of Science (Data Science) is a 3-year course designed to prepare graduates who can conduct data-driven investigations and conduct visual and advanced analytics by acquiring and managing data of all types. The graduates will develop an in-depth understanding of data science and the techniques for analysis of quantitative and qualitative data to arrive at solutions. They will be able to identify patterns, predict trends, and analyze data from various sectors such as manufacturing, banking and finance, retail, and healthcare. The academic track of the program is a blend of core and advanced specialist subjects. Our curriculum is built on the principle that the topics get more specialized as you progress through the programme.

Programme Objectives:
• To acquire an in-depth understanding of theoretical concepts in statistics, data analysis, data mining, machine learning, and other advanced data science techniques.
• To gain practical experience in programming tools for data sciences, database systems, machine learning, and big data tools.
• To strengthen analytical and problem-solving skills by developing real-time applications.
• To empower students with tools and techniques for handling, managing, analyzing, and interpreting data.
 

CHRIST

(Deemed to be University)

Christ University Road, 30 Valor Court
At Post: Dasve Lavasa,Taluka: Mulshi
Pune 412112, Maharashtra.

Tel: 1800-123-2009

Email: mail.lavasa@christuniversity.in

Web: http://www.lavasa.christuniversity.in

Vision

EXCELLENCE AND SERVICE

Mission

CHRIST (Deemed to be University) is a nurturing ground for an individual's holistic development to make effective contribution to the society in a dynamic environment.

Copyright © CHRIST (Deemed to be University) 2020