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).

PSO1. Abstract Thinking: Develop the ability to understand the abstract concepts in Mathematics, Statistics and Computer Science that lead to various Data Science theories.
PSO2. Problem Solving Approach: Develop the skill to identify the problem, formulate a hypothesis and draw conclusions involving large, diverse data sets from different application domains
PSO3. Analytical and Design Ability:Perform data analysis using the concepts and interpret them to design them.
PSO4. Implementation Capability: Familiarize with fundamentals of data science, state of the art technologies and modern software tools to implement strategies.
PSO5. Project Management: Analyse research-based requirements of projects and apply the insights to create solutions to tackle advanced problems in data science.
PSO6. Applications in Multidisciplinary Domains: Apply the concepts to solve problems in a real-world context with a multi-disciplinary approach.
PSO7. Professional Ethics: Understand cyber regulations, norms of professional computing and analytical practices with an ethical framework.
PSO8. Industry-relevant skills: Develop the students with exposure to various skill sets to meet the industry's requirements.
 

On successful completion of the BSc Programme, the students will be able to:
PO1. Understand and apply 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 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.
 

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 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.

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 Honours with research Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Mathematics, and Advanced Statistics. The programme focuses on various major and minor core courses along with various multidisciplinary subjects. Several Skill enhancement and Value-added courses that aim at providing the necessary skills to improve employability and enhancing the skills of the students are incorporated into this programme. The final semester of the programme focuses on the application of the subject, industrial interaction and capstone projects.

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).

PSO1. Abstract Thinking: Develop the ability to understand the abstract concepts in Mathematics, Statistics and Computer Science that lead to various Data Science theories.
PSO2. Problem Solving Approach: Develop the skill to identify the problem, formulate a hypothesis and draw conclusions involving large, diverse data sets from different application domains
PSO3. Analytical and Design Ability:Perform data analysis using the concepts and interpret them to design them.
PSO4. Implementation Capability: Familiarize with fundamentals of data science, state of the art technologies and modern software tools to implement strategies.
PSO5. Project Management: Analyse research-based requirements of projects and apply the insights to create solutions to tackle advanced problems in data science.
PSO6. Applications in Multidisciplinary Domains: Apply the concepts to solve problems in a real-world context with a multi-disciplinary approach.
PSO7. Professional Ethics: Understand cyber regulations, norms of professional computing and analytical practices with an ethical framework.
PSO8. Industry-relevant skills: Develop the students with exposure to various skill sets to meet the industry's requirements.
 

On successful completion of the BSc Programme, the students will be able to:
PO1. Understand and apply 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 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.
 

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 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.

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 Honours with research Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Mathematics, and Advanced Statistics. The programme focuses on various major and minor core courses along with various multidisciplinary subjects. Several Skill enhancement and Value-added courses that aim at providing the necessary skills to improve employability and enhancing the skills of the students are incorporated into this programme. The final semester of the programme focuses on the application of the subject, industrial interaction and capstone projects.

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).

PSO1. Abstract Thinking: Develop the ability to understand the abstract concepts in Mathematics, Statistics and Computer Science that lead to various Data Science theories.
PSO2. Problem Solving Approach: Develop the skill to identify the problem, formulate a hypothesis and draw conclusions involving large, diverse data sets from different application domains
PSO3. Analytical and Design Ability:Perform data analysis using the concepts and interpret them to design them.
PSO4. Implementation Capability: Familiarize with fundamentals of data science, state of the art technologies and modern software tools to implement strategies.
PSO5. Project Management: Analyse research-based requirements of projects and apply the insights to create solutions to tackle advanced problems in data science.
PSO6. Applications in Multidisciplinary Domains: Apply the concepts to solve problems in a real-world context with a multi-disciplinary approach.
PSO7. Professional Ethics: Understand cyber regulations, norms of professional computing and analytical practices with an ethical framework.
PSO8. Industry-relevant skills: Develop the students with exposure to various skill sets to meet the industry's requirements.
 

On successful completion of the BSc Programme, the students will be able to:
PO1. Understand and apply 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 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.
 

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 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.

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 Honours with research Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Mathematics, and Advanced Statistics. The programme focuses on various major and minor core courses along with various multidisciplinary subjects. Several Skill enhancement and Value-added courses that aim at providing the necessary skills to improve employability and enhancing the skills of the students are incorporated into this programme. The final semester of the programme focuses on the application of the subject, industrial interaction and capstone projects.

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).

PSO1. Abstract Thinking: Develop the ability to understand the abstract concepts in Mathematics, Statistics and Computer Science that lead to various Data Science theories.
PSO2. Problem Solving Approach: Develop the skill to identify the problem, formulate a hypothesis and draw conclusions involving large, diverse data sets from different application domains
PSO3. Analytical and Design Ability:Perform data analysis using the concepts and interpret them to design them.
PSO4. Implementation Capability: Familiarize with fundamentals of data science, state of the art technologies and modern software tools to implement strategies.
PSO5. Project Management: Analyse research-based requirements of projects and apply the insights to create solutions to tackle advanced problems in data science.
PSO6. Applications in Multidisciplinary Domains: Apply the concepts to solve problems in a real-world context with a multi-disciplinary approach.
PSO7. Professional Ethics: Understand cyber regulations, norms of professional computing and analytical practices with an ethical framework.
PSO8. Industry-relevant skills: Develop the students with exposure to various skill sets to meet the industry's requirements.
 

On successful completion of the BSc Programme, the students will be able to:
PO1. Understand and apply 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 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.
 

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 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.

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 Honours with research Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Mathematics, and Advanced Statistics. The programme focuses on various major and minor core courses along with various multidisciplinary subjects. Several Skill enhancement and Value-added courses that aim at providing the necessary skills to improve employability and enhancing the skills of the students are incorporated into this programme. The final semester of the programme focuses on the application of the subject, industrial interaction and capstone projects.

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).

PSO1. Abstract Thinking: Develop the ability to understand the abstract concepts in Mathematics, Statistics and Computer Science that lead to various Data Science theories.
PSO2. Problem Solving Approach: Develop the skill to identify the problem, formulate a hypothesis and draw conclusions involving large, diverse data sets from different application domains
PSO3. Analytical and Design Ability:Perform data analysis using the concepts and interpret them to design them.
PSO4. Implementation Capability: Familiarize with fundamentals of data science, state of the art technologies and modern software tools to implement strategies.
PSO5. Project Management: Analyse research-based requirements of projects and apply the insights to create solutions to tackle advanced problems in data science.
PSO6. Applications in Multidisciplinary Domains: Apply the concepts to solve problems in a real-world context with a multi-disciplinary approach.
PSO7. Professional Ethics: Understand cyber regulations, norms of professional computing and analytical practices with an ethical framework.
PSO8. Industry-relevant skills: Develop the students with exposure to various skill sets to meet the industry's requirements.
 

On successful completion of the BSc Programme, the students will be able to:
PO1. Understand and apply 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 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.
 

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 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.

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 Honours with research Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Mathematics, and Advanced Statistics. The programme focuses on various major and minor core courses along with various multidisciplinary subjects. Several Skill enhancement and Value-added courses that aim at providing the necessary skills to improve employability and enhancing the skills of the students are incorporated into this programme. The final semester of the programme focuses on the application of the subject, industrial interaction and capstone projects.

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).

PSO1. Abstract Thinking: Develop the ability to understand the abstract concepts in Mathematics, Statistics and Computer Science that lead to various Data Science theories.
PSO2. Problem Solving Approach: Develop the skill to identify the problem, formulate a hypothesis and draw conclusions involving large, diverse data sets from different application domains
PSO3. Analytical and Design Ability:Perform data analysis using the concepts and interpret them to design them.
PSO4. Implementation Capability: Familiarize with fundamentals of data science, state of the art technologies and modern software tools to implement strategies.
PSO5. Project Management: Analyse research-based requirements of projects and apply the insights to create solutions to tackle advanced problems in data science.
PSO6. Applications in Multidisciplinary Domains: Apply the concepts to solve problems in a real-world context with a multi-disciplinary approach.
PSO7. Professional Ethics: Understand cyber regulations, norms of professional computing and analytical practices with an ethical framework.
PSO8. Industry-relevant skills: Develop the students with exposure to various skill sets to meet the industry's requirements.
 

On successful completion of the BSc Programme, the students will be able to:
PO1. Understand and apply 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 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.
 

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 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.

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 Honours with research Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Mathematics, and Advanced Statistics. The programme focuses on various major and minor core courses along with various multidisciplinary subjects. Several Skill enhancement and Value-added courses that aim at providing the necessary skills to improve employability and enhancing the skills of the students are incorporated into this programme. The final semester of the programme focuses on the application of the subject, industrial interaction and capstone projects.

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).

PSO1. Abstract Thinking: Develop the ability to understand the abstract concepts in Mathematics, Statistics and Computer Science that lead to various Data Science theories.
PSO2. Problem Solving Approach: Develop the skill to identify the problem, formulate a hypothesis and draw conclusions involving large, diverse data sets from different application domains
PSO3. Analytical and Design Ability:Perform data analysis using the concepts and interpret them to design them.
PSO4. Implementation Capability: Familiarize with fundamentals of data science, state of the art technologies and modern software tools to implement strategies.
PSO5. Project Management: Analyse research-based requirements of projects and apply the insights to create solutions to tackle advanced problems in data science.
PSO6. Applications in Multidisciplinary Domains: Apply the concepts to solve problems in a real-world context with a multi-disciplinary approach.
PSO7. Professional Ethics: Understand cyber regulations, norms of professional computing and analytical practices with an ethical framework.
PSO8. Industry-relevant skills: Develop the students with exposure to various skill sets to meet the industry's requirements.
 

On successful completion of the BSc Programme, the students will be able to:
PO1. Understand and apply 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 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.
 

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 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.

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 Honours with research Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Mathematics, and Advanced Statistics. The programme focuses on various major and minor core courses along with various multidisciplinary subjects. Several Skill enhancement and Value-added courses that aim at providing the necessary skills to improve employability and enhancing the skills of the students are incorporated into this programme. The final semester of the programme focuses on the application of the subject, industrial interaction and capstone projects.

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).

PSO1. Abstract Thinking: Develop the ability to understand the abstract concepts in Mathematics, Statistics and Computer Science that lead to various Data Science theories.
PSO2. Problem Solving Approach: Develop the skill to identify the problem, formulate a hypothesis and draw conclusions involving large, diverse data sets from different application domains
PSO3. Analytical and Design Ability:Perform data analysis using the concepts and interpret them to design them.
PSO4. Implementation Capability: Familiarize with fundamentals of data science, state of the art technologies and modern software tools to implement strategies.
PSO5. Project Management: Analyse research-based requirements of projects and apply the insights to create solutions to tackle advanced problems in data science.
PSO6. Applications in Multidisciplinary Domains: Apply the concepts to solve problems in a real-world context with a multi-disciplinary approach.
PSO7. Professional Ethics: Understand cyber regulations, norms of professional computing and analytical practices with an ethical framework.
PSO8. Industry-relevant skills: Develop the students with exposure to various skill sets to meet the industry's requirements.
 

On successful completion of the BSc Programme, the students will be able to:
PO1. Understand and apply 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 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.
 

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 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.

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 Honours with research Programme is spread over six semesters comprising majorly of core courses in Analytics, Fundamentals of Mathematics, and Advanced Statistics. The programme focuses on various major and minor core courses along with various multidisciplinary subjects. Several Skill enhancement and Value-added courses that aim at providing the necessary skills to improve employability and enhancing the skills of the students are incorporated into this programme. The final semester of the programme focuses on the application of the subject, industrial interaction and capstone projects.