Master of Science (Data Science)

  • Bangalore Central Campus
  • Open From : 08-Dec-2024
  • Open Until : 16-Mar-2025
  • To acquire in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen the analytical and problem solving skill through developing real time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to the social issues.

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement.

PO2:

Identify the need and scope of Interdisciplinary research.

PO3:

Enhance research culture and uphold 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

 
 

Data Science is popular in all academia, business sectors, and research and development to make effective decision in day-to-day activities. The Master of Data Science (MDS) is a postgraduate program that combines computer science and statistics to foster proficiency in data-driven decision-making. It is a two-year course comprising six trimesters.

This programme aims to provide opportunity to all candidates to master the skill sets specific to data science with 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.

 

 

Why choose this course?

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    Curriculum blends theory, hands-on experience, and research focus.

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    Gain expertise in data science tools for real-world problem-solving.

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    Extensive electives, projects, and industry exposure enhance employability.

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    MSc Data Science offers rigorous problem-solving skills.

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    Fosters ethical practices, teamwork, and continuous learning mindset.

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    Develops the ability to function effectively both individually and in diverse teams.

 

What you will learn?

 
  • Master problem analysis, design, and data science principles.
  • Acquire proficiency in programming tools for domain-specific problem-solving.
  • Apply data science theories to address societal and environmental concerns.
  • Embrace professional ethics, fostering research culture and scientific integrity.
  • Develop individual and teamwork skills in diverse, multidisciplinary environments.
  • Engage in continuous reflective learning, adapting to evolving data paradigms.
 

Modules

 
  • Research methods in Data Science
  • Probability and Distribution Theory
  • Programming using Python
  • Design and Analysis of Algorithms

Year 1

  • Inferential Statistics using R
  • Full Stack Web Development
  • Java Programming
  • Machine Learning
  • Regression Modelling
 
 
  • Data driven Modelling and Visualization
  • Time Series and Forecasting Techniques
  • Neural Networks and Deep Learning
  • Big Data Analytics

Year 2

  • Web Project with Data Science Concepts
  • Applied Statistics
  • Research Problem Identification
  • Research Publication
 

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

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement.

PO2:

Identify the need and scope of Interdisciplinary research.

PO3:

Enhance research culture and uphold 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: 
1. Foreign citizens,
2. PIO card holders and
3. OCI (Dual Citizens)

International students coming from Non-English speaking countries should:
a) produce evidence of passing the qualifying examination in English medium or
b) 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
a) Intensive Certificate course in English Language (Full Time) conducted from March to May each year or
b) 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 option to apply for any programme at Christ University.
a) Online Application form

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

 

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

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement.

PO2:

Identify the need and scope of Interdisciplinary research.

PO3:

Enhance research culture and uphold 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.

1. NRI defined under the Indian Income Tax Law
2. Either of the parents is outside India (except Nepal) on Work Permit / Resident Permit.
3. Indian citizen financed by any Institution /  agency outside India, even if parents are Residents of India.
4. Indian Citizen who has pursued studies for qualifying examination in any foreign / Indian syllabus outside India.
5. 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.


For email queries:  nri.admission@christuniversity.in

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

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement.

PO2:

Identify the need and scope of Interdisciplinary research.

PO3:

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

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement.

PO2:

Identify the need and scope of Interdisciplinary research.

PO3:

Enhance research culture and uphold 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 University does not collect any type of Capitation / Donation other than the fee mentioned in the website.
  • If the Application is incomplete or incorrect, the University Management has the right to reject it.
  • Kindly do not send any original marks cards through post or courier.
  • Ignorance of the Terms, Conditions, and guidelines will not be considered as an excuse for non-fulfillment of any stipulated process.
  • The University shall allot the seat to the selected MBA (Central/Kengeri) candidate in the Bangalore Central campus or Kengeri campus based on the availability of seats.
  • All selected candidates must note that admission is provisional and subject to University rules.
  • It is to be noted that though the fee is fixed for 1 to 2 years, there will be a periodic nominal increase to meet the rise in costs.
  • Fees should be paid within the stipulated date for the first year and before the commencement of final examinations of 2nd semester for the second year.
  • All those admitted to the programme will have to purchase a laptop at their own cost.
  • Admitted student 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.
  • To acquire in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen the analytical and problem solving skill through developing real time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to the social issues.

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement.

PO2:

Identify the need and scope of Interdisciplinary research.

PO3:

Enhance research culture and uphold 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:
 
Bangalore Central Campus
The Office of Admissions,
CHRIST (Deemed to be University), Hosur Road,
Bengaluru - 560 029, Karnataka, INDIA
Ph. No: +91 92430 80800
Ph. No:  +91 80 4012 9400
 
Email IDs
Indian candidates: admissions@christuniversity.in
Bangalore Bannerghatta Road Campus
CHRIST (Deemed to be University)
Hulimavu, Bannerghatta Road,
Bengaluru - 560 076, Karnataka, INDIA
 
Ph. No:  080 4655 1306
Email: admissions.bgr@christuniversity.in
Bangalore Kengeri Campus
CHRIST (Deemed to be University)
Kanmanike, Kumbalgodu, Mysore Road,
Bengaluru - 560 074, Karnataka, INDIA

Ph. No:  +91 80 6268 9800, 9802, 9820, 9828
Email: admissions.kengeri@christuniversity.in
Bangalore Yeshwanthpur Campus
CHRIST (Deemed to be University)
Nagasandra, Near Tumkur Road,
Bengaluru 560 073, Karnataka, INDIA

Ph. No:   Ph. No: +91 80 6989 6666 / 6667
Email: admissions.yeshwanthpur@christuniversity.in
Delhi NCR Campus
CHRIST (Deemed to be University),
Mariam Nagar, Meerut Road,
Delhi NCR Ghaziabad - 201003
 
Ph. No: 1800-123-3212
Pune Lavasa Campus
CHRIST (Deemed to be University),
Christ University Road, 30 Valor Court,
PO Dasve Lavasa, Mulshi, Pune - 412112, Maharashtra
 
Ph. No : 1800-123-2009,
Email: admission.lavasa@christuniversity.in
Between: Monday to Friday: 09:00 AM to 04:00 PM, Saturday: 09:00 AM to 12:00 PM
(Office remains closed on Sundays, Government Holidays and Any special events)
  • To acquire in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen the analytical and problem solving skill through developing real time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to the social issues.

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement.

PO2:

Identify the need and scope of Interdisciplinary research.

PO3:

Enhance research culture and uphold 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.

 

RESULTS AND ADMISSION PROCESS

  1. Results Announcement: The selection process results will be available on the date mentioned in the Important Dates section on the university’s website.
  2. Results Access: Results can be accessed at this link: https://espro.christuniversity.in/Application/
  3. E-Offer of Admission: Selected candidates will receive an E-Offer of admission, which will be valid until the date specified in the offer.
  4. Provisional Admission: Admission is provisional and subject to university rules. Candidates must meet the specific eligibility criteria for their program.
  5. Fee Payment: Selected candidates must pay the fees using Net Banking/Online Banking or Credit Card. They should also download the offer of admission and choose a date and time to complete the admission process in person with a parent at the selected campus.


To process admission:

  1. Select Date and Time: Choose your preferred date and time from the available options.
  2. Campus Admission: Admission must be processed at the campus where the offer of admission is made
  3. Admission has to be processed as per point (1). Admission will not be processed without the presence of CANDIDATE along with mandatory ORIGINAL DOCUMENTS and one full set of black and white photocopies (xerox) of all the documents mentioned below (MANDATORY):
  • Class 10 and Class 12 Marks Statements (Mandatory).
  • Undergraduate Degree Marks Card: (Semester/Year/Consolidated) If results are awaited, then marks card till the last semester/year (Mandatory).
  • Provisional (PDC) or Degree Certificate (DC): If graduated before November 2024, must be submitted by 30 September 2025 or as announced by the office of admissions of the admission year.
  • Transfer Certificate (TC): Of an undergraduate degree from the last qualified institution (Mandatory) must be submitted by 30 September 2025 or as announced by the office of admissions of the admission year.
  • Migration Certificate (MIG): Of an undergraduate degree from a qualifying University (applicable for all candidates except those studying in Karnataka) (Mandatory) must be submitted by 30 September 2025.
  • Entrance Test Scorecard (MBA Programmes): Copy of valid entrance test scorecard (Aug MAT 2024 | Dec MAT 2024 | CAT 2024 | Feb MAT 2025 | CMAT 2025 | XAT 2025 | ATMA 2025 | GMAT 2024 / 2025| GRE 2024 / 2025) (Mandatory)
  • Work Experience: Candidates who are applying for the Dual Degree MBA (CU) + MBA, (THWS, Germany) Programme should submit the work related documents (Joining Letter/Experience Letter with Latest Salary Slip) (Full Time/Family Business also considered) with one or more year of work experience (Mandatory).
    Candidates who are applying for the MBA Executive with less than 2 years of work experience must have the valid test score of (Aug MAT 2024 | Dec MAT 2024 | CAT 2024 | Feb MAT 2025 | CMAT 2025 | XAT 2025 | ATMA 2025 | GMAT 2024 / 2025| GRE 2024 / 2025) (Mandatory)
  • Two Passport Size Photographs: Formal dress, white background.
  • Two Copies of Payment Acknowledgment Receipt: From application status link https://espro.christuniversity.in/Application/
  • Copy of Valid ID Proof (Aadhar, PAN, etc.).
  • Additional Documents for International Candidates:
    • Passport and Visa Details (Mandatory)
    • PIO/OCI Card holders: Have to produce a copy of the PIO / OCI card whichever is applicable (Mandatory).
    • Medical Fitness Certificate (MFC): From any recognized medical practitioner certified by the Medical Council of India
    • Resident Permit (RP): (If available while applying)

 

Make sure to have all the original documents and a full set of black and white photocopies (xerox).

 

  1. Document Submission:
    • All mandatory documents must be submitted for verification.
    • All pending original documents (for exams in March-June 2025) must be submitted to the Office of Admissions by 30 September 2025 or as announced by the office of admissions of the admission year.
    • Failure to submit pending documents will result in termination of admission.
  2. Bank Account Requirement:
    • All admitted students must open an account at South Indian Bank, CHRIST (Deemed to be University) Branch as part of the admission process.
    • Relevant ID proof (Aadhar Card and Pan Card) is required.
  3. University ID Card:
    • The ID card is a smart card that functions as an ID, ATM card, and access card for various facilities.
    • All transactions within the campus, including fee payments, will be processed through this card.
  4. International Students:
    • Must register with the Foreigner Regional Registration Officer (FRRO/FRO) within 14 working days of admission or arrival in Bengaluru.
  5. Commencement of Academic Year:
    • The start date for the academic year 2025 will be communicated during the admission process.
  6. Caution:
    • The university does not authorize any third party to conduct the selection process or offer admissions.
    • Be wary of unauthorized SMS/Emails promising admissions.
  7. Bank Loan Assistance:
    • Admitted students can request a recommendation letter for a bank loan by presenting the original fee paid receipt to the Office of Admissions.
  8. Laptop:
    • Admitted students may need to purchase a laptop if required by their department.

 

  1. Final Decision:
    • Student allotment in the program of their choice among the various campuses located in Bangalore (Central, Kengeri, Bannerghatta, and Yeshwantpur), Lavasa (Pune), and Delhi NCR Campus of CHRIST University shall be at the sole discretion of the Management. The decision of the Admission Committee is final.
  2. Cancellation Process:

 

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

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement.

PO2:

Identify the need and scope of Interdisciplinary research.

PO3:

Enhance research culture and uphold 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.
INSTRUCTIONS FOR SUBMISSION OF ONLINE APPLICATION FORM
 
Candidates are required to apply online only through the University website www.christuniversity.in No other means/mode of application will be accepted.
 
Candidates should thoroughly go through the programme eligibility criteria, etc. before applying.
 
All applicants are required to create a one-time registration ID to be able to apply for the programme of their choice. They can create the Login ID by
 
OR
Through the program of your choice. After selecting the program, you will be redirected to the Registration for New Students Admission page.
 
Step-1 Procedure to Register as a New applicant
  1. One-time registration: This registration allows you to apply for multiple programs using the same Registration ID.
  2. Fill in your details: Enter your name as per your class 10 school certificate, a valid email ID, mobile number, WhatsApp number for further communication, date of birth, and create a password. Reconfirm the password. Ensure all data is correct before submission, as you cannot edit this personal information later. Click on the ‘Register’ button to complete the registration.
  3. Verify with OTP: An OTP will be sent to your mobile number and email ID. Enter the OTP in the given section and click on the ‘Proceed’ button. If you do not find the email in your inbox, check the spam folder.
 
Step-2 Procedure to Login
  1. Login with your credentials: Use your registered email ID and password to log in. Enter them correctly in the respective fields.
  2. Click on the Login button: After entering your details, click on the ‘Login’ button.
  3. Forgot password?: If you forgot your password, click on the ‘Forgot Password’ button and follow the necessary steps to reset it.
 
Step-3 Steps you need to follow to fill out your personal information in the application form:
  1. Select the program: Choose the program and campus to which you want to apply. If there is an option to choose preferences, kindly choose the preference accordingly. All candidates must meet the program specific eligibility criteria. (Eligibility criteria for the program is available on the admissions page on the University website). Ensure all data is correct before proceeding to next step, as you cannot edit this information later.
  2. Photograph: Upload a photo (3.5 cms x 4.5 cms formal dress with white background only not more than 100 kb). Photos with other backgrounds or taken with mobile devices will result in rejection of the application.
  3. Read the terms and conditions: Carefully read the terms and conditions and select the declaration box below.
  4. Personal information: Fill in your personal information, sports achievements (if any), and extracurricular details (if any).
  5. Parent/guardian information: Provide your current and permanent addresses, along with your parent and guardian information.
  6. Educational details: Fill in your educational details and upload clear scanned copies of class 10, class12, undergraduate degree, work experience letter (if mandatory) depending on the program’s eligibility criteria. Applicants in their final year of an undergraduate degree must enter the marks up to the previous semester/year. *Applications with no marks cards, other mandatory documents or unclear scanned copies will be rejected and termed as Not Eligible.
  7. Preview your application: Review the details you have entered. If there are any corrections needed, edit and preview the application form again. Once submitted, the details cannot be corrected, so ensure everything is accurate before submitting.
  8. Select the date and centre for the selection process: Refer to the Important Dates section before filling out the application. Choose the appropriate date and centre for the selection process based on the program you are applying for. No requests for date/venue changes will be entertained.
  9. The application cannot be submitted without filling in all the mandatory fields.
  10. Applicants must save the information as they proceed from page to page.
 
Step-4 Application Fee Payment:
  1. Payment Methods: You can use Net Banking, Credit Card, Debit Card or any UPI for the payment.
  2. Non-Refundable: Applicants must remember that the application registration fee is non-refundable once the application number is generated.
  3. Secure Payment: Make sure you’re on a secure website when entering your payment information.
  4. Application Number: A 9-digit application number will be auto-generated after the successful payment of the application fee.
  5. Payment Failure: In case of payment failure due to a technical error, the application number will not be generated, and any amount deducted will be automatically refunded within 15 business days.
  6. Printing the Application: A copy of the application can be printed anytime from the login until the selection process is completed.
 
Applicants must note:
  1. Documents: Original marks cards of class 10, class12, undergraduate degree provisional/degree certificate and work experience letter, depending on the program’s eligibility criteria and valid ID proof will be verified during the selection process. Applicants in their final year of an undergraduate degree must carry the marks card up to the previous semester/year.
  2. Selection Process: Conducted on the date and venue chosen during the application process or as announced by the office of admissions. The Selection Process will be held in person at the selected date and venue.
  3. All communication will be through the applicant's login only.
 
  • To acquire in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen the analytical and problem solving skill through developing real time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to the social issues.

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement.

PO2:

Identify the need and scope of Interdisciplinary research.

PO3:

Enhance research culture and uphold 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.
IMPORTANT INFORMATION  – SELECTION PROCESS 2025
APRIL AND MAY ENTRANCE TEST TIMINGS (IST)-2024 : 09:00 AM  | 12:00 PM  |  03:30 PM
1. If the entrance test for the 2 or more applications is on the same date and at the same time, you will write one test and the test score will be transferred to the other applications.
2. If the tests are on the same date but at different times or on different dates, the test has to be taken for each application separately.
3. All other processes (SA_MP_PI) will have to be done separately for each application number.
4. Admit Card of all the selection processess will be updated Two or Three Days before the slection process dates
UNDERGRADUATE PROGRAMMES
 
ENTRANCE TEST (ET) PROGRAMMES & SELECTION PROCESS
NONET PROGRAMMES & SELECTION PROCESS
POSTGRADUATE PROGRAMMES
 
ENTRANCE TEST (ET) PROGRAMMES & SELECTION PROCESS
NONET PROGRAMMES & SELECTION PROCESS
 
Once the results are announced Selected Candidates should pay their fee and process the admissions within 5 to 7 working days.
  • To acquire in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen the analytical and problem solving skill through developing real time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to the social issues.

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement.

PO2:

Identify the need and scope of Interdisciplinary research.

PO3:

Enhance research culture and uphold 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 with 50 % aggregate marks from any University in India or abroad that is recognised by UGC / AIU. Students must fulfill either criteria A or B described below in order to be eligible for the programme:
 
            A. Bachelor of Computer Applications (BCA) / Bsc Computer Science/ BSc Data Science / BE Computer Science
OR
            B. BE/B Tech/Under Graduate degree in Science with any two of the following subjects as major or minor (minimum of one year of learning)
            1.         Computer Science
            2.         Mathematics
            3.         Statistics
 
Students appearing for their final degree examinations in March-June 2025 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.

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

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

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement.

PO2:

Identify the need and scope of Interdisciplinary research.

PO3:

Enhance research culture and uphold 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 8000/ (Non-Refundable)
2. Programme fee as per the below table
 
Year
# Karnataka
Other Indian States
NRI
SAARC / AFRICA / PIO / OCI / ASEAN
Other Foreign Nationals
Time of Payment
1
210,000 INR
230,000 INR
326,000 INR
4,800 USD
5,400 USD
Within seven days of declaration of the Selection Process Result
2
210,000 INR
230,000 INR
326,000 INR
4,800 USD
5,400 USD
On or before March 15, 2026
# The fee for Karnataka domicile students, as indicated in the table, is the actual fee payable and excludes the scholarship amount.
 
It is to be noted that though the fee is fixed for two years, there may be a periodic nominal increase to meet the rise in costs.
 
1. NRI fee is applicable for the first year for candidates who have studied foreign syllabus (has to be approved by UGC / AIU) in the qualifying examination of study in India. In subsequent years Other Indian States fee will be applicable.
(The above condition is not applicable to NRI and candidates applied under NRI Category).
 
2. NRI fee is applicable for the full duration of the Programme for candidates who;
    2.1. Have pursued and completed their last qualifying exam from outside India.
    2.2. Are NRI and candidates who have applied under the NRI category.
 
3. To claim the 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 8000/- (US $100 for foreign nationals/PIO/OCI) is non-refundable in the event of cancellation of admission. This fee will be apart from cancellation charges if 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.
  • To acquire in-depth understanding of the theoretical concepts in statistics, data analysis, data mining, machine learning and other advanced data science techniques.
  • To gain practical experience in programming tools for data sciences, database systems, machine learning and big data tools.
  • To strengthen the analytical and problem solving skill through developing real time applications.
  • To empower students with tools and techniques for handling, managing, analyzing and interpreting data.
  • To imbibe quality research and develop solutions to the social issues.

 

PO1:

Engage in continuous reflective learning in the context of technology and scientific advancement.

PO2:

Identify the need and scope of Interdisciplinary research.

PO3:

Enhance research culture and uphold 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.

CHRIST UNIVERSITY

(Deemed to be University)

Dharmaram College Post, Hosur Road, Bengaluru - 560029,
Karnataka, India

Tel: +91 804012 9100 / 9600

Fax: 40129000

Email: mail@christuniversity.in

Web: http://www. 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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