PUNE LAVASA CAMPUS
Open From: 08-Dec-2024
Open Until: 16-Mar-2025

Master of Science (Computer Science with Data Science)

The MSc in Computer Science with Data Science at CHRIST University Pune Lavasa is a two-year, full-time postgraduate program that integrates advanced computer science concepts with the latest trends in data science. Designed for students who wish to become experts in the evolving fields of artificial intelligence, machine learning, and big data, this program provides a solid foundation in core computer science while deepening your knowledge of data-driven technologies.

Why choose this course?

Cutting-Edge Curriculum combining Computer Science and Data Science to meet industry demands.

Research-Oriented approach, offering opportunities for independent research and academic publications.

Hands-on Learning through internships, industry projects, and specialisation electives.

Exposure to Emerging Technologies like AI, Cloud Computing, Blockchain, and IoT.

Comprehensive training in Data Science tools including Python, R, Data Mining, and Deep Learning.

Strong Industry Collaboration with tech companies for real-world exposure and career advancement.

Specialization Options in Computer Vision, Big Data Analytics, and Natural Language Processing.

Modules

YEAR 1

Computer Science Foundations
Programming, Data Structures, and Algorithms
Database Management and Data Engineering
Mathematics and Statistical Methods for Data Science
Data Science Fundamentals
Machine Learning: Principles and Techniques
Software Engineering and Development Practices
Research Methodologies in Computational Sciences
Professional Skills and Communication

Year 2

Advanced Data Science and Machine Learning
Big Data and Cloud Computing
Specialized Data Science Applications
Industry Integration and Practical Learning
Research and Capstone Project
Professional Development

What you will learn?

Core Computer Science concepts like Data Structures, Algorithms, and Software Engineering.
Advanced techniques in Data Science, including Machine Learning, Data Mining, and Big Data Analytics.
Practical skills in AI, Deep Learning, Natural Language Processing, and Computer Vision
Data Visualisation and Business Intelligence tools for analyzing and presenting complex data
The ability to manage and lead data-driven projects and collaborate effectively in team-based environments.

Cloud Administration, Data Security, and Web Development practices for modern tech solutions
Research Methodologies for formulating and implementing data-driven projects
Specialised knowledge in Spatio-Temporal Analytics, Social Media Analytics, and Quantitative Data Analysis
Industry-Specific Applications like Financial Analytics, IoT, and Mobile Application Development

Specializations

Machine Learning & Artificial Intelligence

Cloud Computing & Data Engineering

Research & Development

Data Analytics & Big Data

Cybersecurity & Ethical Hacking

Advanced Algorithms & Data Structures

Machine Learning & Artificial Intelligence: Dive deep into the world of intelligent systems, exploring cutting-edge machine learning algorithms, deep learning, and AI applications to solve real-world problems across industries.
Research & Development: Focus on pioneering data-driven research and technological innovations, contributing to groundbreaking advancements in Data Science, AI, and computational techniques.
Cybersecurity & Ethical Hacking: Master the critical skills to defend digital infrastructures with advanced techniques in cybersecurity, penetration testing, and ethical hacking, preparing you to combat evolving threats.
Cloud Computing & Data Engineering: Gain expertise in scalable cloud architectures and big data engineering, empowering you to design robust solutions for data storage, processing, and distributed computing systems.
Data Analytics & Big Data: Harness the power of big data analytics and data visualisation tools to uncover hidden insights from large datasets, driving impactful business decisions and innovations.
Advanced Algorithms & Data Structures: Explore sophisticated algorithmic techniques and data structures, building a strong foundation for problem-solving and optimization in large-scale computing environments.

Industry Connect

Job Profiles

Entry-level salary: ₹5 – ₹10 Lakhs, with potential for higher earnings in Machine Learning, AI, and Data Science roles.

Job Profiles

Type of Industry

IT and Software Development
Finance and Banking
Healthcare and Biotech
E-commerce and Retail
Manufacturing and Logistics
Telecommunications
Consulting Firms

Type of Industry

Graduates can pursue MTech, PhD in Computer Science, Data Science, AI, or related fields. Also, opportunities for professional certifications (Google Cloud, AWS, Microsoft Azure) and Executive Programs at institutions like Harvard or ISB.

Application Process 2025

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 Using the following link https://espro.christuniversity.in/Application/
OR

Through the program of your choice. After selecting the program, you will be redirected to the Registration for New Students Admission page.

One-time registration: This registration allows you to apply for multiple programs using the same Registration ID.
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.
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.

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.
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.
Read the terms and conditions: Carefully read the terms and conditions and select the declaration box below.
Personal information: Fill in your personal information, sports achievements (if any), and extracurricular details (if any).
Parent/guardian information: Provide your current and permanent addresses, along with your parent and guardian information.
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.
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.
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.
The application cannot be submitted without filling in all the mandatory fields.
Applicants must save the information as they proceed from page to page.

Payment Methods: You can use Net Banking, Credit Card, Debit Card or any UPI for the payment.
Non-Refundable: Applicants must remember that the application registration fee is non-refundable once the application number is generated.
Secure Payment: Make sure you’re on a secure website when entering your payment information.
Application Number: A 9-digit application number will be auto-generated after the successful payment of the application fee.
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.
Printing the Application: A copy of the application can be printed anytime from the login until the selection process is completed.

Documents: Original marks cards of class 10 and class 11 final report or class 12 Board result and valid ID proof will be verified during the selection process. Applicants writting their class 12 exam must carry class 11 final report (Mandatory).
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.
All communication will be through the applicant's login only.

Office of Admissions will communicate with the applicant only through the university website www.christuniversity.in under the link “Application Status” or click the link: https://appstat.christuniversity.in

Admission Process - 2025

Results Announcement: The selection process results will be available on the date mentioned in the Important Dates section on the university’s website.
Results Access: Results can be accessed at this link: https://espro.christuniversity.in/Application/
E-Offer of Admission: Selected candidates will receive an E-Offer of admission, which will be valid until the date specified in the offer.
Provisional Admission: Admission is provisional and subject to university rules. Candidates must meet the specific eligibility criteria for their program.
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:

Select Date and Time: Choose your preferred date and time from the available options.
Campus Admission: Admission must be processed at the campus where the offer of admission is made
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).

Document Submission:
- All mandatory documents must be submitted for verification.
- An undertaking for 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.
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.
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.
International Students:
- Must register with the Foreigner Regional Registration Officer (FRRO/FRO) within 14 working days of admission or arrival in Bengaluru.
Commencement of Academic Year:
- The start date for the academic year 2025 will be communicated during the admission process.
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.
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.
Laptop:
- Admitted students may need to purchase a laptop if required by their department.

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.
Cancellation Process:
- For details on the cancellation process, please refer to the provided link: https://christuniversity.in/view-pdf/cancellation1

Admission Queries

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

Phone
+91 92430 80800
+91 80 4012 9400

Email IDs
Indian candidates: admissions@christuniversity.in
NRI candidates: nri.admission@christuniversity.in
International: isc.admission@christuniversity.in

Bangalore Kengeri Campus

CHRIST (Deemed to be University)
Kanmanike, Kumbalgodu, Mysore Road,
Bengaluru – 560 074, Karnataka, INDIA

Phone
+91 80 4012 9800,
+91 80 4012 9802
+91 80 4012 9820

Email
admissions.kengeri@christuniversity.in

Delhi NCR Campus

CHRIST (Deemed to be University),
Mariam Nagar, Meerut Road,
Delhi NCR Ghaziabad – 201003

Phone
1800-123-3212

Email
admission.ncr@christuniversity.in

Bangalore Bannerghatta Road Campus

CHRIST (Deemed to be University)
Hulimavu, Bannerghatta Road,
Bengaluru – 560 076, Karnataka, INDIA

Phone
+91 080 4655 1306

Email
admissions.bgr@christuniversity.in

Bangalore Yeshwanthpur Campus

CHRIST (Deemed to be University)
Nagasandra, Near Tumkur Road,
Bengaluru 560 073, Karnataka, INDIA

Phone
+91 97422 44407
+91 80 6989 6666

Email
admissions.yeshwanthpur@christuniversity.in

Pune Lavasa Campus

CHRIST (Deemed to be University),
Christ University Road, 30 Valor Court, PO Dasve Lavasa, Mulshi, Pune – 412112, Maharashtra

Phone
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)

NRI Category

Students are welcome to apply under the Non-Resident Indian category for the programmes offered by the University. Application process is common for all category of applicants

Students who fall under any of the following classifications can apply under NRI Student category and be liable to pay the fees applicable to the category for the entire duration of the programme

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.
NRI fee is applicable for the full duration of the (UG/PG/PhD) programme for candidates who:
Have pursued and completed their last qualifying exam from outside India.
Are NRI and candidates who have applied under NRI category

Admission to all programmes is based on academic performance and CHRIST (Deemed to be University) Selection Process.

Applicants must read through the Eligibility, Important Dates, Selection Process, Fee Structure and other details under the preferred programme given on our website before proceeding with the Application Process.

International Category

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 option to apply for any programme at Christ University.

Online Application form

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

Eligibility

Candidates must have completed an undergraduate degree, as mentioned below from any recognized university in India or abroad (recognized by UGC/AIU/AICTE).

Undergraduate Degree in Science (BSc or BS) in any one of the following subjects as major or minor:
1. Computer Science
2. Data Science
3. Data Analytics
4. Information Technology
  (OR)
Undergraduate candidates from other domains of Science having UG Degree must have studied at least one computer science course.
(OR)
Bachelor of Computer Applications
(OR)
BE/BTech in any domain

Candidates appearing for their final degree examinations in March-May 2025 are eligible to apply. Such applicants must have secured 50% or above aggregate in all semesters/years of undergraduate examinations conducted so far.

Fee Structure

Year

Indian States

NRI

SAARC / AFRICA / OCI / PIO / ASEAN

Other Foreign Nationals

1,50,000 INR

2,50,000 INR

3,300 USD

3,500 USD

1,50,000 INR

2,50,000 INR

3,300 USD

3,500 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 31 March of every year (end of financial year).

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

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

To claim the Indian category fee, the candidates should have studied last 7 years in India. (Not applicable for OCI, PIO and Foreign Nationals).
Admission registration fee of INR 8,000/- is non-refundable in the event of cancellation of admission. This fee will be apart from cancellation charges if any applicable.
Application Fee for Inter/Foreign is USD 100
All Candidates If “Selected” after appearing for the final selection process, the fee may be paid through the following option:

2025 UG & PG Selection Process

Note On Curriculum and Credit Framework for Undergraduate

NRI_International Selection Process – Click Here!

IMPORTANT INFORMATION – SELECTION PROCESS 2025

APRIL AND MAY ENTRANCE TEST TIMINGS (IST)-2025 : 09:00 AM | 12:00 PM | 03:30 PM

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.
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.
All other processes (SA_MP_PI) will have to be done separately for each application number.
Admit Card of all the selection processess will be updated Two or Three Days before the slection process dates

Undergraduate Programmes

PROGRAMMES WITH ENTRANCE TEST (ET) & SELECTION PROCESS-

SELECTION PROCESS (Except BBA Decision Science)

PROGRAMMES WITHOUT ENTRANCE TEST & SELECTION PROCESS

Postgraduate Programmes

PROGRAMMES WITH ENTRANCE TEST (ET) & SELECTION PROCESS

SELECTION PROCESS (Except MSc Psychology HRDM with MA Business and Org. Psychology)

PROGRAMMES WITHOUT ENTRANCE TEST & SELECTION PROCESS

Cancellation Policy

Syllabus

Programme Objectives

Foster Advanced Problem-Solving and Analytical Thinking :
Equip students with the ability to analyse complex problems in computing and data science, apply relevant algorithms, and develop efficient solutions using advanced computational techniques.
Enhance Expertise in Data Science and Machine Learning :
Provide students with deep knowledge and hands-on experience in data analytics, machine learning, and artificial intelligence, enabling them to tackle real-world challenges with data-driven insights.
Develop High-Level Research and Innovation Skills :
Promote critical thinking and research capabilities, allowing students to contribute to cutting-edge projects and innovations in the fields of data science, cloud computing, and big data analytics.
Strengthen Communication and Leadership Abilities :
Cultivate the skills necessary to present technical concepts, research results, and data-driven strategies effectively to both technical and non-technical audiences, while leading cross-functional teams.
Equip Students with Industry-Relevant Digital Tools :
Ensure that students are proficient in the latest software, programming languages, and technologies such as Python, R, TensorFlow, Hadoop, and cloud computing platforms, preparing them for careers in high-demand industries.
Promote Ethical Leadership in Technology and Data Science :
Encourage responsible decision-making by instilling a strong understanding of the ethical implications of AI, machine learning, and data management, guiding students to act responsibly in their professional careers.

Academic Experience

Expert Faculty:
The program is taught by a team of highly qualified faculty members with advanced degrees (PhD, MTech) and expertise in Data Science, AI, and Machine Learning. Faculty members hold industry certifications such as Google Cloud Professional Data Engineer and AWS Certified Machine Learning Specialist.
Strong Research Focus:
Active research in areas like Artificial Intelligence, Big Data, and Cybersecurity ensures the curriculum remains current and aligned with industry trends.
State-of-the-Art Labs:
Students have access to high-performance computing resources, cloud platforms, and industry-standard tools like Python, TensorFlow, Hadoop, and Tableau for hands-on learning.
Industry Collaboration:
Strong ties with top tech companies and research institutions offer internships, live projects, guest lectures, and workshops, ensuring practical industry exposure.
Comprehensive Curriculum:
The curriculum blends core Computer Science concepts with advanced Data Science techniques, equipping students for a competitive job market.
Proven Placement Record:
Graduates are consistently placed in top companies across sectors like IT, finance, and healthcare, with positive industry feedback on the program’s relevance and quality.
Practical Learning:
Emphasis on project-based learning, case studies, and real-world problem-solving prepares students with practical skills alongside theoretical knowledge.
Research & Further Education:
Students are encouraged to pursue MTech, PhDs, or industry certifications, with guidance on research opportunities in cutting-edge fields like Deep Learning and Quantum Computing.

Miscellaneous Information

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 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 the 2nd semester, 4th Semester, 6th Semester, and 8th Semester for the consecutive years.
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.

Programme Outcome

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

Programme Structure

The MSc programme is a two-year, full-time course, divided into four semesters. The first year focuses on building a strong foundation in core subjects of Computer Science, while the second year delves deeper into specialised areas of Data Science and Machine Learning. Core subjects are covered in the first two semesters, while specialised topics and elective subjects start from the third semester.

The curriculum is designed to provide a comprehensive understanding of advanced data analytics, big data technologies, machine learning, artificial intelligence, and cloud computing. Students are encouraged to integrate theoretical knowledge with real-world applications through industry projects, research papers, and a capstone project.

Key Activities

Live Industry Projects: Collaboration with companies to solve real-world business problems
Summer Internship: Industry exposure and hands-on learning experience
Research & Development: Students work on research projects that contribute to cutting-edge developments in Data Science
Workshops and Seminars: Frequent interactions with professionals to discuss the latest technological trends in AI, ML, and Data Science
Guest Lectures: Industry leaders and subject-matter experts engage with students to share knowledge and career advice
Industry Tie-ups: Strong collaborations with tech companies for internships, workshops, and job placements

The MSc course plan is designed to bridge the gap between academia and industry by offering practical exposure alongside theoretical understanding, preparing graduates to meet the dynamic challenges of the data science and computer science fields.

Mentorship

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.

Programme Specific Outcomes

PSO1: Advanced Analytical Skills :Apply advanced data science techniques, including machine learning, data mining, and statistical analysis, to solve complex problems across various domains.
PSO2: Interdisciplinary Problem Solving :Integrate computer science and data science methodologies to design and implement solutions in interdisciplinary research and industry applications.
PSO3: Proficiency in Modern Tools: Gain expertise in using data science tools and programming languages like Python, R, and big data platforms for effective data analysis and visualisation.
PSO4: Ethical and Responsible Computing :Understand and commit to ethical practices, data privacy, and responsible technology use in data science applications.
PSO5: Research and Innovation : Engage in research-based projects using scientific methods, critical thinking, and data-driven insights to contribute to advancements in the field.
PSO6: Leadership and Collaboration : Develop the ability to lead and collaborate in diverse, interdisciplinary teams, managing projects and driving data-centric strategies effectively.

Placement Opportunities

The MSc in Computer Science with Data Science is designed to meet the growing demand for skilled professionals in data-driven industries. With expertise in data analytics, machine learning, big data, and AI, graduates are highly sought after by top tech firms, finance, healthcare, and e-commerce sectors. The programme also offers strong research foundations, enabling students to pursue PhDs in Data Science and related fields.

Practical Application

The programme focuses on hands-on learning, including real-world data projects, case studies, and internships to ensure graduates are job-ready with strong analytical and problem-solving skills

Industry Linkages & Research

The department has strong ties with leading tech companies and research institutions, providing internships, live projects, and industry mentoring. Faculty actively engage in research, ensuring the curriculum aligns with the latest industry trends.

Proven Placement Record

Graduates secure positions with top employers such as Google, Amazon, Accenture, and TCS, praised for their ability to tackle complex data science challenges.

Higher Education Opportunities

Graduates can pursue further studies in :

MTech in Computer Science, Data Science, AI
PhD in Data Science, AI, Machine Learning
Certifications: Google Cloud Data Engineer, AWS ML Certification

Departmental Strengths

Experienced Faculty: 60% with doctorates and industry experience.
State-of-the-art Labs: Equipped with high-performance computing and analytics platforms.
Strong Industry Collaborations for internships, guest lectures, and projects

Master of Science (Computer Science with Data Science)

Why choose this course?

Research-Oriented approach, offering opportunities for independent research and academic publications.

Hands-on Learning through internships, industry projects, and specialisation electives.

Exposure to Emerging Technologies like AI, Cloud Computing, Blockchain, and IoT.

Strong Industry Collaboration with tech companies for real-world exposure and career advancement.

Specialization Options in Computer Vision, Big Data Analytics, and Natural Language Processing.

Modules

YEAR 1

Year 2

What you will learn?

Specializations

Machine Learning & Artificial Intelligence

Cloud Computing & Data Engineering

Research & Development

Data Analytics & Big Data

Cybersecurity & Ethical Hacking

Advanced Algorithms & Data Structures

Industry Connect

Job Profiles

Job Profiles

Type of Industry

Type of Industry

Application Process 2025

Admission Process - 2025

To process admission:

Admission Queries

NRI Category

International Category

Eligibility

Fee Structure

2025 UG & PG Selection Process

Note On Curriculum and Credit Framework for Undergraduate

NRI_International Selection Process – Click Here!

IMPORTANT INFORMATION – SELECTION PROCESS 2025

APRIL AND MAY ENTRANCE TEST TIMINGS (IST)-2025 : 09:00 AM | 12:00 PM | 03:30 PM

Undergraduate Programmes

PROGRAMMES WITH ENTRANCE TEST (ET) & SELECTION PROCESS-

SELECTION PROCESS (Except BBA Decision Science)

PROGRAMMES WITHOUT ENTRANCE TEST & SELECTION PROCESS

Postgraduate Programmes

PROGRAMMES WITH ENTRANCE TEST (ET) & SELECTION PROCESS

SELECTION PROCESS (Except MSc Psychology HRDM with MA Business and Org. Psychology)

PROGRAMMES WITHOUT ENTRANCE TEST & SELECTION PROCESS

Cancellation Policy

Syllabus

Programme Objectives

Academic Experience

Miscellaneous Information

Programme Outcome

Programme Structure

Key Activities

Mentorship

Programme Specific Outcomes

Placement Opportunities

KEY LINKS

Copyright © 2025 CHRIST (Deemed to be University). All rights reserved. Privacy Policy | Designed by DigiGro