M.Tech. Computer Science and Engineering (Digital Transformation)
By Jawaharlal Nehru Engineering College.
- Program: Postgraduate (PG)
- Duration: 2 Year(s)
- Intake: 18

Program Outline
Stay ahead of the digital curve with our M.Tech. program in Computer Science and Engineering, specializing in Digital Transformation, at MGM University. This advanced course is tailored to prepare graduates for the forefront of technological evolution, where digital innovation drives organizational change and societal progress.
In this program, students delve into the core areas of computer science while specializing in digital transformation strategies and technologies. From cloud computing and data analytics to machine learning and cybersecurity, the curriculum is designed to provide a holistic understanding of the tools and techniques reshaping industries.
Engage in cutting-edge research, collaborative projects, and hands-on experiences that bridge theoretical knowledge with practical applications. Our esteemed faculty, industry partnerships, and state-of-the-art laboratories create an environment where students not only grasp the fundamentals but also contribute to shaping the digital future.
Fees Structure
| Particulars | Amount | Remarks |
|---|---|---|
| Tuition Fees | ₹150000/- | Yearly |
| Application Form & MGMU-CET | ₹2000/- | One Time |
| Examination Fees | ₹5000/- | Yearly |
| Student Activity | ₹2000/- | Yearly |
| UMIS & Student Insurance | ₹3000/- | One Time |
| Caution Money Deposit | ₹5000/- | Refundable |
| Eligibility Fees | ₹5000/- | One Time |
| Alumni Association Membership fees | ₹2000/- | One Time |
Program Outcomes
Advanced Computer Science Knowledge
Graduates will possess advanced knowledge in computer science principles and techniques.
Digital Transformation Strategies
Acquire expertise in formulating and implementing digital transformation strategies for organizations.
Big Data Analytics Proficiency
Develop skills in utilizing big data analytics tools to derive insights for informed decision-making.
Cloud Computing Mastery
Gain proficiency in designing and implementing cloud-based solutions to support digital transformation initiatives.
Human-Computer Interaction (HCI)
Develop an understanding of HCI principles to enhance user experiences in digital transformation applications.
Interdisciplinary Collaboration
Cultivate effective collaboration skills in multidisciplinary projects, reflecting the collaborative nature of digital transformation initiatives.
Eligibility
1.Maharashtra State Candidate
(i)The Candidate should be an Indian National and having domicile of Maharashtra state and / or born in Maharashtra state.
(ii) Passed Bachelor Degree in the relevant field of Engineering and Technology from All India Council for Technical Education or Central or State Government approved institutions (or equivalent) with at least 50% marks (at least 45% marks in case of candidates of Backward class categories and persons with disability belonging to Maharashtra State only).
(iii) Obtained Non-Zero Positive Score in Graduates Aptitude Test in Engineering (GATE) conducted by Indian Institute of Technology.
(iv) In case of unavailability of GATE candidates, the vacant seat will be offered to the non-GATE candidates, as per merit, based on the marks secured in MGMU-CET 2026 (M.Tech.)/ PERA-CET 2026.
(v) For sponsored candidates, minimum of two years of full-time work experience in a registered firm /company /industry /educational and/ or research institute/any Government Department or Government Autonomous Organization in the relevant field in which admission is being sought.
Note:
1. Candidates who have appeared in GATE before 2026 and having score which is valid for AY 2026-27 (as mentioned on the scorecard) are eligible for admission.
2. Candidates who have appeared GATE in 2026 with non-zero score shall be considered on the basis of Marks obtained.
3. Preference shall be given to the Valid Score candidates over not valid score.
2. All India Candidate
(i) The Candidate should be an Indian National.
(ii) Passed Bachelor Degree in the relevant field of Engineering and Technology from All India Council for Technical Education or Central or State Government approved institutions (or equivalent) with at least 50% marks (at least 45% marks in case of candidates of Backward class categories and persons with disability belonging to Maharashtra State only).
(iii) Obtained Non-Zero Positive Score in Graduates Aptitude Test in Engineering (GATE) conducted by Indian Institute of Technology.
(iv) In case of unavailability of GATE candidates, the vacant seat will be offered to the non-GATE candidates, as per merit, based on the marks secured in MGMU-CET 2026 (M.Tech.).
(v) For sponsored candidates, minimum of two years of full-time work experience in a registered firm /company /industry /educational and/ or research institute/any Government Department or Government Autonomous Organization in the relevant field in which admission is being sought.
Note:
1. Candidates who have appeared in GATE before 2026 and having score which is valid for AY 2026-27 (as mentioned on the scorecard) are eligible for admission.
2. Candidates who have appeared GATE in 2026 with non-zero score shall be considered on the basis of Marks obtained.
3. Preference shall be given to the Valid Score candidates over not valid score.
3. NRI* Candidate
Passed Bachelor Degree in the relevant field of Engineering and Technology from All India Council for Technical Education or Central or State Government approved institutions (or equivalent) with at least 50% marks in aggregate or its equivalent.
Career Prospects

Data Scientist (Digital Transformation)

Cloud Solutions Architect

Cybersecurity Consultant (Digital Transformation)

User Experience (UX) Designer (Digital Transformation)

Blockchain Specialist
Admission Procedure
Step
1
Register on admissions.mgmu.ac.in
Step
2
Fill Application Form
Step
3
Receive entrance test link for MGMU CET (Date will reflect on Student Dashboard / Website)
Step
4
Appear for MGMU CET
Step
5
Check Merit List on Dashboard
Step
6
Verification and Submission of Documents
Step
7
Fees Payment
Step
8
Welcome to MGMU
Teaching Faculty
| Faculty Name | Designation |
|---|---|
| Dr. Vijaya Musande | Professor |
| Dr. Deepa S. Deshpande | Professor |
| Ms. Anuja R. Tungar | Associate Professor |
| Dr. Jayshri D. Pagare | Associate Professor |
| Ms. Vanita S. Hanmante | Assistant Professor |
| Dr. Sujeet S. More | Assistant Professor |
| Ms. Archana H. Telgaonkar | Assistant Professor |
| Ms. Priya P. Borade | Assistant Professor |
| Dr. Deepali R. Naglot | Assistant Professor |
| Ms. Kanchan Vaishnav | Assistant Professor |
| Dr. Shilpa Joshi | Associate Professor |
| Ms. Poonam Ramgirwar | Assistant Professor |
| Ms. Sonal.V.Sarnaik | Assistant Professor |
| Mr. Sandip Kankal | Assistant Professor |
| Ms. Sukhwant Kour Siledar | Assistant Professor |
| Ms. Sanjyoti Surya | Assistant Professor |
| Ms. Rubina Shah | Assistant Professor |
| Ms. Pooja Tayade | Assistant Professor |
| Mr. Balasaheb S Sable | Assistant Professor |
| Ms. Sushama A Deshmukh | Assistant Professor |
| Mr. Sheshnarayan Ghungrad | Assistant Professor |
| Mr. Vikas V. Chavan | Assistant Professor |
| Ms. Swati B. Magare | Assistant Professor |
| Dr. Pramod B. Bhalerao | Associate Professor |
| Mr. Pankaj H. Durole | Assistant Professor |
| Ms. Bhanupriya S. Gaikwad | Assistant Professor |
| Mr. Sachin U. Kakde | Assistant Professor |
| Ms. Minakshi Pachpatil | Assistant Professor |
| Mr. Pravin Bhivsen Mahadik | Assistant Professor |
| Mr. Prashant V. Raut | Assistant Professor |
Department Infrastructure

6 Computer Labs
These labs aims to familiarize students with programming languages (C, C++, Python, Java), Data Structures, and algorithms. Additionally, it serves as a platform to explore advanced technologies like Data Mining, Analytics, Soft computing, Predictive Analysis, Language Processing, and Image Processing.

RESEARCH LAB (TECH MAHINDRA'S MAKERS LAB)
The Maker's lab is dedicated to PG students and research projects in Al, ML, AR and VR. The Maker's Lab is sponsored by Tech Mahindra Pune.

Apple Lab
This lab provides a platform for hands-on training on iOS systems.

Conference Room
The Conference Room offers a sophisticated space for scholarly discussions, meetings, and collaborative endeavors. Designed with modern amenities, it provides an ideal setting for academic conferences, research presentations, and strategic discussions.

Seminar Hall
The Seminar Hall is a state-of-the-art facility equipped to host academic seminars, workshops, and events. It provides an ideal environment for knowledge dissemination and collaborative learning within a technologically advanced setting.