Programme Details

MSc (Data Science)

  • Pune Lavasa Campus
  • Open From : 08-Dec-2024
  • Open Until : 16-Mar-2025
  • A Number of industry collaborations: Opportunity for our MSc students to take part in international projects and research activities in Data science, in association with reputed academic and industry leaders.
  • Constantly updated Syllabus: The Syllabus is tuned to keep up with the need of the industry. It is formulated after discussion with industry professionals.
  • Encouraging Research Culture: Students are constantly encouraged to do research, starting from semester 1. One mandatory research paper at the end of the programme.
  • Clubs that add quality: Various Clubs such as Data Analytics Club, Data Security Club, Artificial intelligence Club, Coding Club and Fun Club for more experiential learning
  • Hackathon: An opportunity to think and solve data science challenges in a professional manner, with support from industry experts.
  • Advanced laboratories: An array of powerful computers for carrying out research and development activities
  • Corporate Connects & Workshops: Workshops and guest talks on recent trends & Technologies by Experts.
  • Data Science Association & Societies: DSA offers ample opportunities for the students to enhance their Technical and Soft skills


 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity for all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in data science theory with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.

The programme structure ensures that it has a strong tie-up with industries of their field. The students engage projects from industries and well-structured internships giving them opportunities for experiential learning. Guest lectures are delivered by industry experts that give them a vast knowledge from varied fields.

PO1. Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2. Identify the need and scope of the Interdisciplinary research.
PO3. Enhance research culture and uphold the scientific integrity and objectivity 
PO4. Understand the professional, ethical and social responsibilities
PO5. Understand the importance and the judicious use of technology for the sustainability of the environment
PO6. Enhance disciplinary competency, employability and leadership skills

PSO1. Abstract thinking: Ability to understand the abstract concepts that lead to various data science theories in Mathematics, Statistics and Computer science.
PSO2. Problem Analysis and Design Ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, Statistics, computing sciences, and relevant domain disciplines.
PSO3. Modern software tool usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems.
PSO4. Innovation And Entrepreneurship: Produce innovative IT solutions and services based on global needs and trends.
PSO5. Societal And Environmental Concern: Utilize the data science theories for societal and environmental concerns.
PSO6. Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
PSO7. Conduct Investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 
PSO8. Individual and Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PSO9. Applications in Multi disciplinary domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science. 
PSO10. Project Management: Apply the research-based knowledge to analyse and solve advanced problems in data science.
 

| Overview

Empower your future with our Master of Data Science (MDS) program! In today's data-driven world, the demand for skilled data scientists is soaring across academia, business, and research sectors. Our two-year postgraduate offering blends computer science and statistics to cultivate expertise in data-driven decision-making. Dive deep into the theory and practical application of data science, gaining hands-on experience with cutting-edge tools and techniques. Benefit from guest lectures, seminars, projects, and internships that provide exposure to research models and industry-standard applications. Learn from industry experts and seasoned professionals who bring real-world insights to the classroom. Whether you aspire to a career in academia, industry, or research, our MDS program prepares you for success in a variety of roles. Join us and unlock the potential of data science for your future career success!

| Why choose this course?

Curriculum blends theory, hands-on experience, and research focus.
Gain expertise in data science tools for real-world problem-solving.
Extensive electives, projects, and industry exposure enhance employability.
MSc Data Science offers rigorous problem-solving skills.
Fosters ethical practices, teamwork, and continuous learning mindset.
Develops the ability to function effectively both individually and in diverse teams.

| What you will learn?

This program is ideal for students who are interested in using their analytical and logical skills to solve complex real-world problems. ?
?Continuous innovation in big data technologies, machine learning, AI, and predictive analytics, there is a high demand for skilled professionals in the field of data science. ?
?Provides student with both theoretical and practical training and help them develop technical skills that are in high demand in the data-driven job market.
Hone expertise in problem analysis, design, and principles of data science.
Attain mastery in programming tools tailored for solving domain-specific challenges.
Utilize data science theories to tackle pressing societal and environmental issues.
Embrace ethical standards, nurturing a culture of research and integrity.
Cultivate both individual and collaborative skills in varied, interdisciplinary settings.
Embrace a culture of ongoing learning, evolving alongside dynamic data paradigms.

| Career prospects

Excel in problem analysis, design, and data science application.
Master programming tools for effective problem-solving in specific domains.
Address societal and environmental concerns using data science theories.
Adhere to professional ethics, fostering a research culture with integrity.
Develop teamwork skills for multidisciplinary environments.
Continuous reflective learning in evolving data paradigms for real-world problem-solving.

 

  • A Number of industry collaborations: Opportunity for our MSc students to take part in international projects and research activities in Data science, in association with reputed academic and industry leaders.
  • Constantly updated Syllabus: The Syllabus is tuned to keep up with the need of the industry. It is formulated after discussion with industry professionals.
  • Encouraging Research Culture: Students are constantly encouraged to do research, starting from semester 1. One mandatory research paper at the end of the programme.
  • Clubs that add quality: Various Clubs such as Data Analytics Club, Data Security Club, Artificial intelligence Club, Coding Club and Fun Club for more experiential learning
  • Hackathon: An opportunity to think and solve data science challenges in a professional manner, with support from industry experts.
  • Advanced laboratories: An array of powerful computers for carrying out research and development activities
  • Corporate Connects & Workshops: Workshops and guest talks on recent trends & Technologies by Experts.
  • Data Science Association & Societies: DSA offers ample opportunities for the students to enhance their Technical and Soft skills


 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity for all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in data science theory with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.

The programme structure ensures that it has a strong tie-up with industries of their field. The students engage projects from industries and well-structured internships giving them opportunities for experiential learning. Guest lectures are delivered by industry experts that give them a vast knowledge from varied fields.

PO1. Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2. Identify the need and scope of the Interdisciplinary research.
PO3. Enhance research culture and uphold the scientific integrity and objectivity 
PO4. Understand the professional, ethical and social responsibilities
PO5. Understand the importance and the judicious use of technology for the sustainability of the environment
PO6. Enhance disciplinary competency, employability and leadership skills

PSO1. Abstract thinking: Ability to understand the abstract concepts that lead to various data science theories in Mathematics, Statistics and Computer science.
PSO2. Problem Analysis and Design Ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, Statistics, computing sciences, and relevant domain disciplines.
PSO3. Modern software tool usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems.
PSO4. Innovation And Entrepreneurship: Produce innovative IT solutions and services based on global needs and trends.
PSO5. Societal And Environmental Concern: Utilize the data science theories for societal and environmental concerns.
PSO6. Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
PSO7. Conduct Investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 
PSO8. Individual and Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PSO9. Applications in Multi disciplinary domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science. 
PSO10. Project Management: Apply the 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

Email ID for any clarifications: isc.admission@christuniversity.in

For other details: https://christuniversity.in/international-student-category

 

  • A Number of industry collaborations: Opportunity for our MSc students to take part in international projects and research activities in Data science, in association with reputed academic and industry leaders.
  • Constantly updated Syllabus: The Syllabus is tuned to keep up with the need of the industry. It is formulated after discussion with industry professionals.
  • Encouraging Research Culture: Students are constantly encouraged to do research, starting from semester 1. One mandatory research paper at the end of the programme.
  • Clubs that add quality: Various Clubs such as Data Analytics Club, Data Security Club, Artificial intelligence Club, Coding Club and Fun Club for more experiential learning
  • Hackathon: An opportunity to think and solve data science challenges in a professional manner, with support from industry experts.
  • Advanced laboratories: An array of powerful computers for carrying out research and development activities
  • Corporate Connects & Workshops: Workshops and guest talks on recent trends & Technologies by Experts.
  • Data Science Association & Societies: DSA offers ample opportunities for the students to enhance their Technical and Soft skills


 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity for all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in data science theory with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.

The programme structure ensures that it has a strong tie-up with industries of their field. The students engage projects from industries and well-structured internships giving them opportunities for experiential learning. Guest lectures are delivered by industry experts that give them a vast knowledge from varied fields.

PO1. Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2. Identify the need and scope of the Interdisciplinary research.
PO3. Enhance research culture and uphold the scientific integrity and objectivity 
PO4. Understand the professional, ethical and social responsibilities
PO5. Understand the importance and the judicious use of technology for the sustainability of the environment
PO6. Enhance disciplinary competency, employability and leadership skills

PSO1. Abstract thinking: Ability to understand the abstract concepts that lead to various data science theories in Mathematics, Statistics and Computer science.
PSO2. Problem Analysis and Design Ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, Statistics, computing sciences, and relevant domain disciplines.
PSO3. Modern software tool usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems.
PSO4. Innovation And Entrepreneurship: Produce innovative IT solutions and services based on global needs and trends.
PSO5. Societal And Environmental Concern: Utilize the data science theories for societal and environmental concerns.
PSO6. Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
PSO7. Conduct Investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 
PSO8. Individual and Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PSO9. Applications in Multi disciplinary domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science. 
PSO10. Project Management: Apply the 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.

Email ID for any clarifications: isc.admission@christuniversity.in

For other details: https://christuniversity.in/international-student-category

  • A Number of industry collaborations: Opportunity for our MSc students to take part in international projects and research activities in Data science, in association with reputed academic and industry leaders.
  • Constantly updated Syllabus: The Syllabus is tuned to keep up with the need of the industry. It is formulated after discussion with industry professionals.
  • Encouraging Research Culture: Students are constantly encouraged to do research, starting from semester 1. One mandatory research paper at the end of the programme.
  • Clubs that add quality: Various Clubs such as Data Analytics Club, Data Security Club, Artificial intelligence Club, Coding Club and Fun Club for more experiential learning
  • Hackathon: An opportunity to think and solve data science challenges in a professional manner, with support from industry experts.
  • Advanced laboratories: An array of powerful computers for carrying out research and development activities
  • Corporate Connects & Workshops: Workshops and guest talks on recent trends & Technologies by Experts.
  • Data Science Association & Societies: DSA offers ample opportunities for the students to enhance their Technical and Soft skills


 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity for all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in data science theory with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.

The programme structure ensures that it has a strong tie-up with industries of their field. The students engage projects from industries and well-structured internships giving them opportunities for experiential learning. Guest lectures are delivered by industry experts that give them a vast knowledge from varied fields.

PO1. Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2. Identify the need and scope of the Interdisciplinary research.
PO3. Enhance research culture and uphold the scientific integrity and objectivity 
PO4. Understand the professional, ethical and social responsibilities
PO5. Understand the importance and the judicious use of technology for the sustainability of the environment
PO6. Enhance disciplinary competency, employability and leadership skills

PSO1. Abstract thinking: Ability to understand the abstract concepts that lead to various data science theories in Mathematics, Statistics and Computer science.
PSO2. Problem Analysis and Design Ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, Statistics, computing sciences, and relevant domain disciplines.
PSO3. Modern software tool usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems.
PSO4. Innovation And Entrepreneurship: Produce innovative IT solutions and services based on global needs and trends.
PSO5. Societal And Environmental Concern: Utilize the data science theories for societal and environmental concerns.
PSO6. Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
PSO7. Conduct Investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 
PSO8. Individual and Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PSO9. Applications in Multi disciplinary domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science. 
PSO10. Project Management: Apply the research-based knowledge to analyse and solve advanced problems in data science.
 

  • A Number of industry collaborations: Opportunity for our MSc students to take part in international projects and research activities in Data science, in association with reputed academic and industry leaders.
  • Constantly updated Syllabus: The Syllabus is tuned to keep up with the need of the industry. It is formulated after discussion with industry professionals.
  • Encouraging Research Culture: Students are constantly encouraged to do research, starting from semester 1. One mandatory research paper at the end of the programme.
  • Clubs that add quality: Various Clubs such as Data Analytics Club, Data Security Club, Artificial intelligence Club, Coding Club and Fun Club for more experiential learning
  • Hackathon: An opportunity to think and solve data science challenges in a professional manner, with support from industry experts.
  • Advanced laboratories: An array of powerful computers for carrying out research and development activities
  • Corporate Connects & Workshops: Workshops and guest talks on recent trends & Technologies by Experts.
  • Data Science Association & Societies: DSA offers ample opportunities for the students to enhance their Technical and Soft skills


 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity for all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in data science theory with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.

The programme structure ensures that it has a strong tie-up with industries of their field. The students engage projects from industries and well-structured internships giving them opportunities for experiential learning. Guest lectures are delivered by industry experts that give them a vast knowledge from varied fields.

PO1. Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2. Identify the need and scope of the Interdisciplinary research.
PO3. Enhance research culture and uphold the scientific integrity and objectivity 
PO4. Understand the professional, ethical and social responsibilities
PO5. Understand the importance and the judicious use of technology for the sustainability of the environment
PO6. Enhance disciplinary competency, employability and leadership skills

PSO1. Abstract thinking: Ability to understand the abstract concepts that lead to various data science theories in Mathematics, Statistics and Computer science.
PSO2. Problem Analysis and Design Ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, Statistics, computing sciences, and relevant domain disciplines.
PSO3. Modern software tool usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems.
PSO4. Innovation And Entrepreneurship: Produce innovative IT solutions and services based on global needs and trends.
PSO5. Societal And Environmental Concern: Utilize the data science theories for societal and environmental concerns.
PSO6. Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
PSO7. Conduct Investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 
PSO8. Individual and Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PSO9. Applications in Multi disciplinary domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science. 
PSO10. Project Management: Apply the 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)

  • A Number of industry collaborations: Opportunity for our MSc students to take part in international projects and research activities in Data science, in association with reputed academic and industry leaders.
  • Constantly updated Syllabus: The Syllabus is tuned to keep up with the need of the industry. It is formulated after discussion with industry professionals.
  • Encouraging Research Culture: Students are constantly encouraged to do research, starting from semester 1. One mandatory research paper at the end of the programme.
  • Clubs that add quality: Various Clubs such as Data Analytics Club, Data Security Club, Artificial intelligence Club, Coding Club and Fun Club for more experiential learning
  • Hackathon: An opportunity to think and solve data science challenges in a professional manner, with support from industry experts.
  • Advanced laboratories: An array of powerful computers for carrying out research and development activities
  • Corporate Connects & Workshops: Workshops and guest talks on recent trends & Technologies by Experts.
  • Data Science Association & Societies: DSA offers ample opportunities for the students to enhance their Technical and Soft skills


 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity for all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in data science theory with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.

The programme structure ensures that it has a strong tie-up with industries of their field. The students engage projects from industries and well-structured internships giving them opportunities for experiential learning. Guest lectures are delivered by industry experts that give them a vast knowledge from varied fields.

PO1. Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2. Identify the need and scope of the Interdisciplinary research.
PO3. Enhance research culture and uphold the scientific integrity and objectivity 
PO4. Understand the professional, ethical and social responsibilities
PO5. Understand the importance and the judicious use of technology for the sustainability of the environment
PO6. Enhance disciplinary competency, employability and leadership skills

PSO1. Abstract thinking: Ability to understand the abstract concepts that lead to various data science theories in Mathematics, Statistics and Computer science.
PSO2. Problem Analysis and Design Ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, Statistics, computing sciences, and relevant domain disciplines.
PSO3. Modern software tool usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems.
PSO4. Innovation And Entrepreneurship: Produce innovative IT solutions and services based on global needs and trends.
PSO5. Societal And Environmental Concern: Utilize the data science theories for societal and environmental concerns.
PSO6. Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
PSO7. Conduct Investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 
PSO8. Individual and Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PSO9. Applications in Multi disciplinary domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science. 
PSO10. Project Management: Apply the 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 the 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, the NRI student category fee will be applicable only for the first year.

  • A Number of industry collaborations: Opportunity for our MSc students to take part in international projects and research activities in Data science, in association with reputed academic and industry leaders.
  • Constantly updated Syllabus: The Syllabus is tuned to keep up with the need of the industry. It is formulated after discussion with industry professionals.
  • Encouraging Research Culture: Students are constantly encouraged to do research, starting from semester 1. One mandatory research paper at the end of the programme.
  • Clubs that add quality: Various Clubs such as Data Analytics Club, Data Security Club, Artificial intelligence Club, Coding Club and Fun Club for more experiential learning
  • Hackathon: An opportunity to think and solve data science challenges in a professional manner, with support from industry experts.
  • Advanced laboratories: An array of powerful computers for carrying out research and development activities
  • Corporate Connects & Workshops: Workshops and guest talks on recent trends & Technologies by Experts.
  • Data Science Association & Societies: DSA offers ample opportunities for the students to enhance their Technical and Soft skills


 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity for all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in data science theory with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.

The programme structure ensures that it has a strong tie-up with industries of their field. The students engage projects from industries and well-structured internships giving them opportunities for experiential learning. Guest lectures are delivered by industry experts that give them a vast knowledge from varied fields.

PO1. Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2. Identify the need and scope of the Interdisciplinary research.
PO3. Enhance research culture and uphold the scientific integrity and objectivity 
PO4. Understand the professional, ethical and social responsibilities
PO5. Understand the importance and the judicious use of technology for the sustainability of the environment
PO6. Enhance disciplinary competency, employability and leadership skills

PSO1. Abstract thinking: Ability to understand the abstract concepts that lead to various data science theories in Mathematics, Statistics and Computer science.
PSO2. Problem Analysis and Design Ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, Statistics, computing sciences, and relevant domain disciplines.
PSO3. Modern software tool usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems.
PSO4. Innovation And Entrepreneurship: Produce innovative IT solutions and services based on global needs and trends.
PSO5. Societal And Environmental Concern: Utilize the data science theories for societal and environmental concerns.
PSO6. Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
PSO7. Conduct Investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 
PSO8. Individual and Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PSO9. Applications in Multi disciplinary domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science. 
PSO10. Project Management: Apply the research-based knowledge to analyse and solve advanced problems in data science.
 

A candidate who has passed an Undergraduate degree in BCA/Science with 50 % aggregate marks from any recognised University in India or abroad recognised by UGC / AIU is eligible to apply.

Students must fulfill either criteria A or B described below in order to be eligible for the course:

A. Bachelor of Computer Applications (BCA).

OR

B. BE/B Tech/Under Graduate degree in Science with any two of the following subjects as major or minor (minimum of two years of learning)

  • Computer Science
  • Mathematics
  • Statistics

Students appearing for their final degree examinations in March-May 2024 are also eligible to apply. Applicants who are in the last year of their studies should have secured 50% or above aggregate in all the Semesters / Years of Undergraduate Examinations conducted so far.

  • A Number of industry collaborations: Opportunity for our MSc students to take part in international projects and research activities in Data science, in association with reputed academic and industry leaders.
  • Constantly updated Syllabus: The Syllabus is tuned to keep up with the need of the industry. It is formulated after discussion with industry professionals.
  • Encouraging Research Culture: Students are constantly encouraged to do research, starting from semester 1. One mandatory research paper at the end of the programme.
  • Clubs that add quality: Various Clubs such as Data Analytics Club, Data Security Club, Artificial intelligence Club, Coding Club and Fun Club for more experiential learning
  • Hackathon: An opportunity to think and solve data science challenges in a professional manner, with support from industry experts.
  • Advanced laboratories: An array of powerful computers for carrying out research and development activities
  • Corporate Connects & Workshops: Workshops and guest talks on recent trends & Technologies by Experts.
  • Data Science Association & Societies: DSA offers ample opportunities for the students to enhance their Technical and Soft skills


 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity for all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in data science theory with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.

The programme structure ensures that it has a strong tie-up with industries of their field. The students engage projects from industries and well-structured internships giving them opportunities for experiential learning. Guest lectures are delivered by industry experts that give them a vast knowledge from varied fields.

PO1. Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2. Identify the need and scope of the Interdisciplinary research.
PO3. Enhance research culture and uphold the scientific integrity and objectivity 
PO4. Understand the professional, ethical and social responsibilities
PO5. Understand the importance and the judicious use of technology for the sustainability of the environment
PO6. Enhance disciplinary competency, employability and leadership skills

PSO1. Abstract thinking: Ability to understand the abstract concepts that lead to various data science theories in Mathematics, Statistics and Computer science.
PSO2. Problem Analysis and Design Ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, Statistics, computing sciences, and relevant domain disciplines.
PSO3. Modern software tool usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems.
PSO4. Innovation And Entrepreneurship: Produce innovative IT solutions and services based on global needs and trends.
PSO5. Societal And Environmental Concern: Utilize the data science theories for societal and environmental concerns.
PSO6. Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
PSO7. Conduct Investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 
PSO8. Individual and Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PSO9. Applications in Multi disciplinary domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science. 
PSO10. Project Management: Apply the research-based knowledge to analyse and solve advanced problems in data science.
 

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

2. Programme fee as per the below table

                                

            

Year

            		             

Indian States

            		             

NRI

            		             

SAARC / AFRICA / OCI / PIO / ASEAN

            		             

Other Foreign Nationals

            
            

1

            		             

1,70,000 INR

            		             

2,82,000 INR

            		             

4,000 USD

            		             

4,500 USD

            
            

2

            		             

1,70,000 INR

            		             

2,82,000 INR

            		             

4,000 USD

            		             

4,500 USD

            
Time of Payment : All the candidates have to pay the I Year fee immediately after confirmation of the admission. II Year fee must be remitted before 31st March of the year

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

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

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

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

  • Have pursued and completed their last qualifying exam from outside India.
  • Are NRI and candidates who have applied under the NRI category.

3. To claim Indian category fee, the candidates should have studied last 7 years in India. (Not applicable for OCI, PIO, and Foreign Nationals).
4. Admission registration fee of INR 5000/- is non-refundable in the event of cancellation of admission. This fee will be apart from cancellation charges if any applicable.                        

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

  • Payment can be made through Net banking / NEFT / RTGS    
  • Payment / Transfer of fees does not guarantee admission.
  • A Number of industry collaborations: Opportunity for our MSc students to take part in international projects and research activities in Data science, in association with reputed academic and industry leaders.
  • Constantly updated Syllabus: The Syllabus is tuned to keep up with the need of the industry. It is formulated after discussion with industry professionals.
  • Encouraging Research Culture: Students are constantly encouraged to do research, starting from semester 1. One mandatory research paper at the end of the programme.
  • Clubs that add quality: Various Clubs such as Data Analytics Club, Data Security Club, Artificial intelligence Club, Coding Club and Fun Club for more experiential learning
  • Hackathon: An opportunity to think and solve data science challenges in a professional manner, with support from industry experts.
  • Advanced laboratories: An array of powerful computers for carrying out research and development activities
  • Corporate Connects & Workshops: Workshops and guest talks on recent trends & Technologies by Experts.
  • Data Science Association & Societies: DSA offers ample opportunities for the students to enhance their Technical and Soft skills


 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity for all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in data science theory with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.

The programme structure ensures that it has a strong tie-up with industries of their field. The students engage projects from industries and well-structured internships giving them opportunities for experiential learning. Guest lectures are delivered by industry experts that give them a vast knowledge from varied fields.

PO1. Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2. Identify the need and scope of the Interdisciplinary research.
PO3. Enhance research culture and uphold the scientific integrity and objectivity 
PO4. Understand the professional, ethical and social responsibilities
PO5. Understand the importance and the judicious use of technology for the sustainability of the environment
PO6. Enhance disciplinary competency, employability and leadership skills

PSO1. Abstract thinking: Ability to understand the abstract concepts that lead to various data science theories in Mathematics, Statistics and Computer science.
PSO2. Problem Analysis and Design Ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, Statistics, computing sciences, and relevant domain disciplines.
PSO3. Modern software tool usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems.
PSO4. Innovation And Entrepreneurship: Produce innovative IT solutions and services based on global needs and trends.
PSO5. Societal And Environmental Concern: Utilize the data science theories for societal and environmental concerns.
PSO6. Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
PSO7. Conduct Investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 
PSO8. Individual and Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PSO9. Applications in Multi disciplinary domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science. 
PSO10. Project Management: Apply the research-based knowledge to analyse and solve advanced problems in data science.
 

Academic Year  Syllabus
2023 - 2024
2022 - 2023
2023 - 2025
2024 - 2025

 

  • A Number of industry collaborations: Opportunity for our MSc students to take part in international projects and research activities in Data science, in association with reputed academic and industry leaders.
  • Constantly updated Syllabus: The Syllabus is tuned to keep up with the need of the industry. It is formulated after discussion with industry professionals.
  • Encouraging Research Culture: Students are constantly encouraged to do research, starting from semester 1. One mandatory research paper at the end of the programme.
  • Clubs that add quality: Various Clubs such as Data Analytics Club, Data Security Club, Artificial intelligence Club, Coding Club and Fun Club for more experiential learning
  • Hackathon: An opportunity to think and solve data science challenges in a professional manner, with support from industry experts.
  • Advanced laboratories: An array of powerful computers for carrying out research and development activities
  • Corporate Connects & Workshops: Workshops and guest talks on recent trends & Technologies by Experts.
  • Data Science Association & Societies: DSA offers ample opportunities for the students to enhance their Technical and Soft skills


 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity for all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in data science theory with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.

The programme structure ensures that it has a strong tie-up with industries of their field. The students engage projects from industries and well-structured internships giving them opportunities for experiential learning. Guest lectures are delivered by industry experts that give them a vast knowledge from varied fields.

PO1. Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2. Identify the need and scope of the Interdisciplinary research.
PO3. Enhance research culture and uphold the scientific integrity and objectivity 
PO4. Understand the professional, ethical and social responsibilities
PO5. Understand the importance and the judicious use of technology for the sustainability of the environment
PO6. Enhance disciplinary competency, employability and leadership skills

PSO1. Abstract thinking: Ability to understand the abstract concepts that lead to various data science theories in Mathematics, Statistics and Computer science.
PSO2. Problem Analysis and Design Ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, Statistics, computing sciences, and relevant domain disciplines.
PSO3. Modern software tool usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems.
PSO4. Innovation And Entrepreneurship: Produce innovative IT solutions and services based on global needs and trends.
PSO5. Societal And Environmental Concern: Utilize the data science theories for societal and environmental concerns.
PSO6. Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
PSO7. Conduct Investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 
PSO8. Individual and Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PSO9. Applications in Multi disciplinary domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science. 
PSO10. Project Management: Apply the research-based knowledge to analyse and solve advanced problems in data science.
 

Candidates will be intimated about the Selection status (Selected / Wait Listed / Not Selected) through the “Application Status” link on the University website. The Selection results will be declared as mentioned in the important dates link.

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 campus where the programme is offered.

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;

  1. Class 10 Marks Statement (Mandatory).
  2. Class 12 Marks Statement, if candidate has appeared and passed the examination (Mandatory).
  3. Photocopy of Degree Marks Card (if result awaited, marks card available currently) (Mandatory).
  4. Photocopy of Provisional degree certificate / Convocation certificate, if candidate has completed / graduated from the qualifying programme (Mandatory).
  5. Transfer Certificate (TC) of undergraduate degree from the last qualified institution (Mandatory).
  6. Migration Certificate of undergraduate degree from qualifying University (applicable for all candidates except those studying in Maharashtra) (Mandatory).
  7. One Stamp size and One passport size photograph formal dress with white background (Mandatory).  
  8. Two Copies of the Online Payment Receipt (Mandatory).
  9. Copy of valid ID proof (Aadhar Card / Aadhar Enrolment Receipt).
  10. 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 2024], must be submitted to the Office of Admissions. These documents must be submitted on or before August 20, 2024. 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 University without any claim.

All admitted students must open an account at South Indian Bank, Christ 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 2024 - 2025 will be intimated during the admission process.

Please note:

  • The University does not collect any type of capitation / donation other than the fees mentioned in the website.
  • Christ University does not authorize any Third Party / Agents / Person to apply / offer admission on its behalf. Christ 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 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.
  • A Number of industry collaborations: Opportunity for our MSc students to take part in international projects and research activities in Data science, in association with reputed academic and industry leaders.
  • Constantly updated Syllabus: The Syllabus is tuned to keep up with the need of the industry. It is formulated after discussion with industry professionals.
  • Encouraging Research Culture: Students are constantly encouraged to do research, starting from semester 1. One mandatory research paper at the end of the programme.
  • Clubs that add quality: Various Clubs such as Data Analytics Club, Data Security Club, Artificial intelligence Club, Coding Club and Fun Club for more experiential learning
  • Hackathon: An opportunity to think and solve data science challenges in a professional manner, with support from industry experts.
  • Advanced laboratories: An array of powerful computers for carrying out research and development activities
  • Corporate Connects & Workshops: Workshops and guest talks on recent trends & Technologies by Experts.
  • Data Science Association & Societies: DSA offers ample opportunities for the students to enhance their Technical and Soft skills


 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity for all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in data science theory with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.

The programme structure ensures that it has a strong tie-up with industries of their field. The students engage projects from industries and well-structured internships giving them opportunities for experiential learning. Guest lectures are delivered by industry experts that give them a vast knowledge from varied fields.

PO1. Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2. Identify the need and scope of the Interdisciplinary research.
PO3. Enhance research culture and uphold the scientific integrity and objectivity 
PO4. Understand the professional, ethical and social responsibilities
PO5. Understand the importance and the judicious use of technology for the sustainability of the environment
PO6. Enhance disciplinary competency, employability and leadership skills

PSO1. Abstract thinking: Ability to understand the abstract concepts that lead to various data science theories in Mathematics, Statistics and Computer science.
PSO2. Problem Analysis and Design Ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, Statistics, computing sciences, and relevant domain disciplines.
PSO3. Modern software tool usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems.
PSO4. Innovation And Entrepreneurship: Produce innovative IT solutions and services based on global needs and trends.
PSO5. Societal And Environmental Concern: Utilize the data science theories for societal and environmental concerns.
PSO6. Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
PSO7. Conduct Investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 
PSO8. Individual and Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PSO9. Applications in Multi disciplinary domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science. 
PSO10. Project Management: Apply the 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).

Guidelines to applicants

  • To fill the application you must have a copy of statement of marks of Class 10, Class 12, Degree Marks Cards (whichever is available) (Mandatory) and Provisional degree certificate / Convocation certificate, if candidate has completed / graduated from the qualifying programme (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 print your application form.
  • Print and sign the application form. Keep a copy of the application form for further reference and to produce at the time of selection process.

Candidates must send the filled in application with the following documents mentioned below in an A4 size envelope only. Candidates must mark the [PROGRAMME APPLIED FOR] Admissions 2024 – [APPLICATION NO] on the top left hand corner of the A4 size envelope for faster processing of application form.

  1. Copy of the original filled-in printed application form duly signed by the parent / guardian and the candidate (Mandatory).
  2. Copy of the application processing fee online payment acknowledgment slip (Mandatory).
  3. Copy of Statement of marks of Class 10 and 12 (Mandatory), copy of Degree Marks Card (if result awaited, marks card available currently) (Mandatory), copy of Provisional degree certificate / Convocation certificate, if candidate has completed / graduated from the qualifying programme (Mandatory).
  4. Copy of Transfer Certificate from last qualified Institution (UG) (If available while applying).
  5. Copy of Migration Certificate from last qualified University for all candidates except for students studying in Maharashtra (If available while applying).
  6. 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.

Office of Admissions will verify the application form only after receiving the printed application form along with ALL the supporting documents. Selection Process e-admit card will not be uploaded if the supporting documents do not reach the Office of Admissions within the stipulated date and time. The selection process E-Admit card will be generated 3-5 days prior to the scheduled selection process date.

  • A Number of industry collaborations: Opportunity for our MSc students to take part in international projects and research activities in Data science, in association with reputed academic and industry leaders.
  • Constantly updated Syllabus: The Syllabus is tuned to keep up with the need of the industry. It is formulated after discussion with industry professionals.
  • Encouraging Research Culture: Students are constantly encouraged to do research, starting from semester 1. One mandatory research paper at the end of the programme.
  • Clubs that add quality: Various Clubs such as Data Analytics Club, Data Security Club, Artificial intelligence Club, Coding Club and Fun Club for more experiential learning
  • Hackathon: An opportunity to think and solve data science challenges in a professional manner, with support from industry experts.
  • Advanced laboratories: An array of powerful computers for carrying out research and development activities
  • Corporate Connects & Workshops: Workshops and guest talks on recent trends & Technologies by Experts.
  • Data Science Association & Societies: DSA offers ample opportunities for the students to enhance their Technical and Soft skills


 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity for all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in data science theory with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.

The programme structure ensures that it has a strong tie-up with industries of their field. The students engage projects from industries and well-structured internships giving them opportunities for experiential learning. Guest lectures are delivered by industry experts that give them a vast knowledge from varied fields.

PO1. Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2. Identify the need and scope of the Interdisciplinary research.
PO3. Enhance research culture and uphold the scientific integrity and objectivity 
PO4. Understand the professional, ethical and social responsibilities
PO5. Understand the importance and the judicious use of technology for the sustainability of the environment
PO6. Enhance disciplinary competency, employability and leadership skills

PSO1. Abstract thinking: Ability to understand the abstract concepts that lead to various data science theories in Mathematics, Statistics and Computer science.
PSO2. Problem Analysis and Design Ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, Statistics, computing sciences, and relevant domain disciplines.
PSO3. Modern software tool usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems.
PSO4. Innovation And Entrepreneurship: Produce innovative IT solutions and services based on global needs and trends.
PSO5. Societal And Environmental Concern: Utilize the data science theories for societal and environmental concerns.
PSO6. Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
PSO7. Conduct Investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 
PSO8. Individual and Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PSO9. Applications in Multi disciplinary domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science. 
PSO10. Project Management: Apply the research-based knowledge to analyse and solve advanced problems in data science.
 

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

  • A Number of industry collaborations: Opportunity for our MSc students to take part in international projects and research activities in Data science, in association with reputed academic and industry leaders.
  • Constantly updated Syllabus: The Syllabus is tuned to keep up with the need of the industry. It is formulated after discussion with industry professionals.
  • Encouraging Research Culture: Students are constantly encouraged to do research, starting from semester 1. One mandatory research paper at the end of the programme.
  • Clubs that add quality: Various Clubs such as Data Analytics Club, Data Security Club, Artificial intelligence Club, Coding Club and Fun Club for more experiential learning
  • Hackathon: An opportunity to think and solve data science challenges in a professional manner, with support from industry experts.
  • Advanced laboratories: An array of powerful computers for carrying out research and development activities
  • Corporate Connects & Workshops: Workshops and guest talks on recent trends & Technologies by Experts.
  • Data Science Association & Societies: DSA offers ample opportunities for the students to enhance their Technical and Soft skills


 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity for all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in data science theory with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.

The programme structure ensures that it has a strong tie-up with industries of their field. The students engage projects from industries and well-structured internships giving them opportunities for experiential learning. Guest lectures are delivered by industry experts that give them a vast knowledge from varied fields.

PO1. Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2. Identify the need and scope of the Interdisciplinary research.
PO3. Enhance research culture and uphold the scientific integrity and objectivity 
PO4. Understand the professional, ethical and social responsibilities
PO5. Understand the importance and the judicious use of technology for the sustainability of the environment
PO6. Enhance disciplinary competency, employability and leadership skills

PSO1. Abstract thinking: Ability to understand the abstract concepts that lead to various data science theories in Mathematics, Statistics and Computer science.
PSO2. Problem Analysis and Design Ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, Statistics, computing sciences, and relevant domain disciplines.
PSO3. Modern software tool usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems.
PSO4. Innovation And Entrepreneurship: Produce innovative IT solutions and services based on global needs and trends.
PSO5. Societal And Environmental Concern: Utilize the data science theories for societal and environmental concerns.
PSO6. Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
PSO7. Conduct Investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 
PSO8. Individual and Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PSO9. Applications in Multi disciplinary domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science. 
PSO10. Project Management: Apply the research-based knowledge to analyse and solve advanced problems in data science.
 

  • A Number of industry collaborations: Opportunity for our MSc students to take part in international projects and research activities in Data science, in association with reputed academic and industry leaders.
  • Constantly updated Syllabus: The Syllabus is tuned to keep up with the need of the industry. It is formulated after discussion with industry professionals.
  • Encouraging Research Culture: Students are constantly encouraged to do research, starting from semester 1. One mandatory research paper at the end of the programme.
  • Clubs that add quality: Various Clubs such as Data Analytics Club, Data Security Club, Artificial intelligence Club, Coding Club and Fun Club for more experiential learning
  • Hackathon: An opportunity to think and solve data science challenges in a professional manner, with support from industry experts.
  • Advanced laboratories: An array of powerful computers for carrying out research and development activities
  • Corporate Connects & Workshops: Workshops and guest talks on recent trends & Technologies by Experts.
  • Data Science Association & Societies: DSA offers ample opportunities for the students to enhance their Technical and Soft skills


 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity for all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in data science theory with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.

The programme structure ensures that it has a strong tie-up with industries of their field. The students engage projects from industries and well-structured internships giving them opportunities for experiential learning. Guest lectures are delivered by industry experts that give them a vast knowledge from varied fields.

PO1. Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2. Identify the need and scope of the Interdisciplinary research.
PO3. Enhance research culture and uphold the scientific integrity and objectivity 
PO4. Understand the professional, ethical and social responsibilities
PO5. Understand the importance and the judicious use of technology for the sustainability of the environment
PO6. Enhance disciplinary competency, employability and leadership skills

PSO1. Abstract thinking: Ability to understand the abstract concepts that lead to various data science theories in Mathematics, Statistics and Computer science.
PSO2. Problem Analysis and Design Ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, Statistics, computing sciences, and relevant domain disciplines.
PSO3. Modern software tool usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems.
PSO4. Innovation And Entrepreneurship: Produce innovative IT solutions and services based on global needs and trends.
PSO5. Societal And Environmental Concern: Utilize the data science theories for societal and environmental concerns.
PSO6. Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
PSO7. Conduct Investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 
PSO8. Individual and Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PSO9. Applications in Multi disciplinary domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science. 
PSO10. Project Management: Apply the research-based knowledge to analyse and solve advanced problems in data science.
 

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

  • The candidate will be intimated through appstat link: http://applavasa.christuniversity.in/ on the University website www.lavasa.christuniversity.in. No other communication will be made.    
  • Candidates failing to submit the application within the stipulated date and time will be considered as “Not Selected”.    
  • Candidates not submitting the category certificate from the concerned Maharashtra authorities will fall under general merit.    
  • Only Natives of Maharashtra, who can produce relevant documents from their Parish Priest/Pastor, will be considered under the “CHRISTIANITY CATHOLIC” and “CHRISTIANITY NON-CATHOLIC” category.    
  • A Number of industry collaborations: Opportunity for our MSc students to take part in international projects and research activities in Data science, in association with reputed academic and industry leaders.
  • Constantly updated Syllabus: The Syllabus is tuned to keep up with the need of the industry. It is formulated after discussion with industry professionals.
  • Encouraging Research Culture: Students are constantly encouraged to do research, starting from semester 1. One mandatory research paper at the end of the programme.
  • Clubs that add quality: Various Clubs such as Data Analytics Club, Data Security Club, Artificial intelligence Club, Coding Club and Fun Club for more experiential learning
  • Hackathon: An opportunity to think and solve data science challenges in a professional manner, with support from industry experts.
  • Advanced laboratories: An array of powerful computers for carrying out research and development activities
  • Corporate Connects & Workshops: Workshops and guest talks on recent trends & Technologies by Experts.
  • Data Science Association & Societies: DSA offers ample opportunities for the students to enhance their Technical and Soft skills


 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity for all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in data science theory with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.

The programme structure ensures that it has a strong tie-up with industries of their field. The students engage projects from industries and well-structured internships giving them opportunities for experiential learning. Guest lectures are delivered by industry experts that give them a vast knowledge from varied fields.

PO1. Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2. Identify the need and scope of the Interdisciplinary research.
PO3. Enhance research culture and uphold the scientific integrity and objectivity 
PO4. Understand the professional, ethical and social responsibilities
PO5. Understand the importance and the judicious use of technology for the sustainability of the environment
PO6. Enhance disciplinary competency, employability and leadership skills

PSO1. Abstract thinking: Ability to understand the abstract concepts that lead to various data science theories in Mathematics, Statistics and Computer science.
PSO2. Problem Analysis and Design Ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, Statistics, computing sciences, and relevant domain disciplines.
PSO3. Modern software tool usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems.
PSO4. Innovation And Entrepreneurship: Produce innovative IT solutions and services based on global needs and trends.
PSO5. Societal And Environmental Concern: Utilize the data science theories for societal and environmental concerns.
PSO6. Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
PSO7. Conduct Investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 
PSO8. Individual and Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PSO9. Applications in Multi disciplinary domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science. 
PSO10. Project Management: Apply the research-based knowledge to analyse and solve advanced problems in data science.
 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity to all candidates to master the skill sets specific to data science with a research bent. The curriculum supports the students to obtain adequate knowledge in theory of data science with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc. 

  • A Number of industry collaborations: Opportunity for our MSc students to take part in international projects and research activities in Data science, in association with reputed academic and industry leaders.
  • Constantly updated Syllabus: The Syllabus is tuned to keep up with the need of the industry. It is formulated after discussion with industry professionals.
  • Encouraging Research Culture: Students are constantly encouraged to do research, starting from semester 1. One mandatory research paper at the end of the programme.
  • Clubs that add quality: Various Clubs such as Data Analytics Club, Data Security Club, Artificial intelligence Club, Coding Club and Fun Club for more experiential learning
  • Hackathon: An opportunity to think and solve data science challenges in a professional manner, with support from industry experts.
  • Advanced laboratories: An array of powerful computers for carrying out research and development activities
  • Corporate Connects & Workshops: Workshops and guest talks on recent trends & Technologies by Experts.
  • Data Science Association & Societies: DSA offers ample opportunities for the students to enhance their Technical and Soft skills


 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day to day activities. MSc in Data Science is a two-year programme with four semesters. This programme aims to provide an opportunity for all candidates to master the skill sets specific to data science with research bent. The curriculum supports the students to obtain adequate knowledge in data science theory with hands-on experience in relevant domains and tools. Candidate gains exposure to research models and industry-standard applications in data science through guest lectures, seminars, projects, internships, etc.

The programme structure ensures that it has a strong tie-up with industries of their field. The students engage projects from industries and well-structured internships giving them opportunities for experiential learning. Guest lectures are delivered by industry experts that give them a vast knowledge from varied fields.

PO1. Engage in continuous reflective learning in the context of technology and scientific advancement.
PO2. Identify the need and scope of the Interdisciplinary research.
PO3. Enhance research culture and uphold the scientific integrity and objectivity 
PO4. Understand the professional, ethical and social responsibilities
PO5. Understand the importance and the judicious use of technology for the sustainability of the environment
PO6. Enhance disciplinary competency, employability and leadership skills

PSO1. Abstract thinking: Ability to understand the abstract concepts that lead to various data science theories in Mathematics, Statistics and Computer science.
PSO2. Problem Analysis and Design Ability to identify analyze and design solutions for data science problems using fundamental principles of mathematics, Statistics, computing sciences, and relevant domain disciplines.
PSO3. Modern software tool usage: Acquire the skills in handling data science programming tools towards problem solving and solution analysis for domain specific problems.
PSO4. Innovation And Entrepreneurship: Produce innovative IT solutions and services based on global needs and trends.
PSO5. Societal And Environmental Concern: Utilize the data science theories for societal and environmental concerns.
PSO6. Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practices.
PSO7. Conduct Investigations of complex computing problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions. 
PSO8. Individual and Team work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
PSO9. Applications in Multi disciplinary domains: Understand the role of statistical approaches and apply the same to solve the real life problems in the fields of data science. 
PSO10. Project Management: Apply the 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 cardholders 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 enrol either for

  • Intensive Certificate course in the 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 the 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

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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