Programme Details

BSc (Economics & Analytics) - Batch 2022

Programme  objectives 

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

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

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

The course provides introduction to the fundamental tools of economics, mathematics, and statistics in the first year; which forms a strong base for understanding and analyzing economic concepts. The second-year curriculum facilitates the use of econometrics to examine relevant policy issues at the micro and macro level. In their final year, students explore application based subjects like international and monetary economics. They are also trained in advanced mathematical tools to aid any further studies or research projects that they undertake.

This course is designed to introduce you to the fundamentals of economic analysis and reasoning and it is the course upon which subsequent, more specialized economics courses are based.

 

Programme  objectives 

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

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

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

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

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

International students coming from Non-English speaking countries should:

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

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

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

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

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

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

  • Direct mode Application
  • Online Application form

Programme  objectives 

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

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

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

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

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

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

Programme  objectives 

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

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

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

Programme  objectives 

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

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

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

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

Pune Lavasa Campus

CHRIST (Deemed to be University),

Christ University Road, 30 Valor Court,

PO Dasve Lavasa, Mulshi, Pune - 412112, Maharashtra

 

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

 

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

Programme  objectives 

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

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

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

The course provides introduction to the fundamental tools of economics, mathematics, and statistics in the first year; which forms a strong base for understanding and analyzing economic concepts. The second-year curriculum facilitates the use of econometrics to examine relevant policy issues at the micro and macro level. In their final year, students explore application based subjects like international and monetary economics. They are also trained in advanced mathematical tools to aid any further studies or research projects that they undertake.

This course is designed to introduce you to the fundamentals of economic analysis and reasoning and it is the course upon which subsequent, more specialized economics courses are based.

Programme  objectives 

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

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

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

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

Candidates writing the +2 examinations in March-May 2022 May apply with their class X and XI marks.

It is compulsory to have studied Mathematics /Computer Science/Economics as subjects at the Class XII level.

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

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

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

 

Programme  objectives 

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

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

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

Programme  objectives 

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

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

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

After completing this course successfully, candidates can seek employment almost in every sector and in every field of work whether it is government sector or private sector. The most popular field of work can be banking, finance, teaching, media and retail. There are a few job profiles for which candidates can start their career:

Research Analyst- Macro Economics: Responsible for conducting survey and analyse economic issues.

Manager-Economics Modelling: Forecast and interpret market trends for future growth planning.

Budget analyst: Prepare budgets plans and execute them at the right stage.

Economic Affairs specialist: Responsible for preparing social and economic data bases and handle development issues and challenges.

Economics-Lecturer: Provides knowledge of economics as a whole in colleges and institutes.

Programme  objectives 

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

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

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

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

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

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

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

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

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

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

All mandatory documents must be submitted for verification during the admission process. An undertaking for pending original documents unavailable currently [applicable only for candidates writing / passing their exam in March – June 2022], must be submitted to the Office of Admissions. These documents must be submitted on or before July 15, 2022. Failure to submit the pending documents will be treated as unsuccessful in the qualifying examination or considered “Not Eligible” and admission will be terminated from CHRIST (Deemed to be University) without any claim.

All admitted students must open an account at South Indian Bank, CHRIST (Deemed to be University) Branch as part of the admission process and must carry relevant ID proof (Aadhar Card and Pan Card). The University ID card is a smart card, which is both an ID cum ATM card with a chip containing the student personal details. All transactions within the University campus after commencement of classes, including fee payment will be processed only through this card. It is also an access card for Library and other restricted places.
Selected candidates who fall under International student category (ISC) should register with the Foreigner Regional Registration Officer (FRRO / FRO) of the Local Police in Pune, India within 14 working days from the date of admission or arriving in Pune.
The date of commencement of the academic Year 2022 - 2023 will be intimated during the admission process.

Please note:

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

Programme  objectives 

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

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

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

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

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

Guidelines to applicants:

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

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

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

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


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

 

CHRIST

(Deemed to be University)

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

Tel: 1800-123-2009

Email: mail.lavasa@christuniversity.in

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

Vision

EXCELLENCE AND SERVICE

Mission

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

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