BANGALORE CENTRAL CAMPUS
Open From: 08-Dec-2024
Open Until: 09-May-2025

MSc (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

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

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

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

An applicant can apply for as many programmes using the same ID as long as the prescribed eligibility criteria for the specific programme is fulfilled.

Guidelines to applicants

Copy of statement of marks of class 10 and class 11 final report or class 12 Board result Provisional degree/ Degree Certificate and Consolidated mark card/mark cards of all the semesters.(Mandatory).
Fill in all the details in the “detailed application” page. Scan and upload a recent passport size photograph (3.5 cms x 4.5 cms formal dress with white background) and click “Submit”. On clicking Submit, a viewable and editable page will appear on the screen. In case you need to make any corrections; you may edit the data/details and then click “Confirm Submission”.
Candidates must choose the preferred date from available options, before making the payment for the application.
Payment may be made through Credit / Debit Card / Net banking facility. After successful payment, click on submit. A 9 (Nine) digit Application number will be generated. All applicants must make a note of the username, password, application number of the programme applied .
After payment if you do not receive the 9 (Nine) digit application number, then your application process is incomplete, and payment will go in for refund process. The refund will take about 15 working days and must be checked with your bank).
Candidates must submit the filled-in application forms along with the supporting documents (duly self attested) within 3 days of the declaration of Maharashtra HSC/ISC/CBSE results in person/ Parents / Guardian. Applications not submitted to the Office of Admissions within 3 days from the declaration of class XII results (Maharashtra PUC/CBSE/ISC) will not be considered for the merit list. Other Boards whose results may be declared after the above mentioned Boards will be considered subject to availability of seats.
No application will be considered if submitted by COURIER or POST.
Documents to be submitted in Person / Parents / Guardian.
Photocopy of Class 10 Marks Card (Mandatory).
Internet copy of Class 12 Marks Card self attested (Mandatory).
Provisional degree/ Degree Certificate and Consolidated mark card/mark cards of all the semesters.
Internet copy Valid Category Certificate (For candidates from Maharashtra PU applying under various categories) (Mandatory).
Baptism Certificate from the Parish Priest / Pastor for Maharashtra Christian Students (Mandatory).
Registration Payment Receipt from ICAI (Applicable for BCom F & A only).
1 Recent passport size and 1 stamp size photographs in formal dress of (Photo size of 35mm x 45mm with white background only - Standard Indian Passport Format only). The application may be rejected if the photograph is not according to the specification.
The Admit card for the programme will be updated ONE or TWO days before the scheduled process
Make sure to retain a copy of the signed application form for future reference.

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

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

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

Admission Process

Selection process results will be available on https://app.christuniversity.in. Selected candidates will receive an E-Offer of admission that will be valid up to the date mentioned in the Offer of admission.

Note: All selected candidates must note that admission is provisional and subject to University rules.

Selected candidates must download the offer of admission on the ‘Application Status’ link on the University website.

To process admission.

Candidates must choose the preferred date and time from available options to facilitate a smooth admission process.
Admission must be processed at the campus where the programme is offered as published in the offer of admission.
As per UGC guidelines, fee payment has to be made through online/NEFT mode.
Payment options and details will be available in the Offer of admission.
Fees for the first year including non-refundable registration fee of Rs. 5000/-must be paid in full as part of the admission process.

All original marks cards and one set of photocopies must be submitted for verification at the time of admission as mentioned below

Class 10 Marks Statement and Class 11/12 Marks Statement (Mandatory).
Transfer Certificate (TC) of Class 12 from the last qualified institution must be submitted by 31 August 2024 (Mandatory).
Migration Certificate of Class 12 (applicable for all candidates except Maharashtra state board applicants) must be submitted by 31 August 2024 (Mandatory).
One Stamp size and one passport size photograph formal dress with white background (Mandatory).
Two Copies of the Online Payment Receipt (Mandatory).
Copy of valid ID proof (Aadhar Card / Aadhar Enrolment Receipt / PAN Card / Voter ID Card).
Gap certificate in case of any break from academics.

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

Copy of Passport and Visa Details (Mandatory)
PIO / OCI have to produce 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 and
Resident Permit (RP) (If available while applying)

All Original documents must be submitted for verification during the admission process.

An undertaking for pending original documents unavailable currently [applicable only for candidates writing/passing their exam in March – June – 2024], must be submitted to the Office of Admissions. These documents must be submitted on or before 31 August 2024.

Failure to submit the pending documents will be treated as unsuccessful in the qualifying examination or considered “Not Eligible” and admission will be terminated from CHRIST (Deemed to be University) without any claim.

All admitted students must open an account at South Indian Bank, CHRIST (Deemed to be University) Branch as part of the admission process and must carry relevant ID proof (Aadhar Card and Pan Card).

The University ID card is a smart card, which is both an ID cum ATM card with a chip containing the student personal details. All transactions within the University campus after commencement of classes, including fee payment will be processed only through this card. It is also an access card for Library and other restricted places.

Selected candidates who fall under International student category (ISC) should register with the Foreigner Regional Registration Officer (FRRO / FRO) of the Local Police in Pune, India within 14 working days from the date of admission or arriving in Pune.

The date of commencement of the academic Year 2025 will be intimated during the admission process.

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:

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

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

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

For email queries:admission.lavasa@christuniversity.in

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: admission.lavasa@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).

Computer Science
Data Science
Data Analytics
Information Technology

(OR)

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.

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)

Fee Structure

Year	Indian States	NRI	Saarc / Africa / OCI / PIO / ASEAN	Other Foreign Nationals
1	2,16,000 INR	3,46,000 INR	5,100 USD	5,700 USD
2	2,16,000 INR	3,46,000 INR	5,100 USD	5,700 USD
3	2,16,000 INR	3,46,000 INR	5,100 USD	5,700 USD
4	2,70,000 INR	4,33,000 INR	5,600 USD	6,200 USD

Time of Payment: All the candidates have to pay the I Year fee immediately after confirmation of the admission. II, III & IV 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 5000/- 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:

Selection Process

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

The candidate will be intimated through appstat link: http://applavasa.christuniversity.in/ on the University website www.lavasa.christuniversity.in. No other communication will be made.
Candidates failing to submit the application within the stipulated date and time will be considered as “Not Selected”.
Candidates not submitting the category certificate from the concerned Maharashtra authorities will fall under general merit.
Only Natives of Maharashtra, who can produce relevant documents from their Parish Priest/Pastor, will be considered under the “CHRISTIANITY CATHOLIC” and “CHRISTIANITY NON-CATHOLIC” category.

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.
All selected candidates must note that admission is provisional and subject to University rules.
Ignorance of the Terms, Conditions, and guidelines will not be considered as an excuse for non-fulfillment of any stipulated process.
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

MSc (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

Guidelines to applicants

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

Admission Process

To process admission.

All original marks cards and one set of photocopies must be submitted for verification at the time of admission as mentioned below

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

All Original documents must be submitted for verification during the admission process.

Failure to submit the pending documents will be treated as unsuccessful in the qualifying examination or considered “Not Eligible” and admission will be terminated from CHRIST (Deemed to be University) without any claim.

The date of commencement of the academic Year 2025 will be intimated during the admission process.

Admission Queries

NRI Category

International Category

Eligibility

Fee Structure

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

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