
M.Tech in Computer Science and Engineering
A two-year postgraduate programme focused on advanced computing, algorithms and system design.
M.Tech in computer science and engineering overview
The programme prepares engineers to design, analyse and build advanced computing systems through strong foundations in computer science and applied problem solving. Students experience:
Core computer science foundations
Learning in algorithms, data structures, operating systems and computer networks.
Advanced computing domains
Exposure to areas such as machine learning, data systems, information security and distributed computing.
Hands-on systems and programming
Practical coursework and projects focused on building and evaluating real software and system-level solutions.
Research and industry exposure
Project-based learning, internships and thesis work aligned with contemporary computing challenges.
Programme details
Academic structure
Our academic structure is designed to establish robust foundations, followed by increasing specialization in later years.
- Credit structure: Total of 62 credits
- Duration: 2 years / 4 semesters
- Coursework is covered in Semesters 1 and 2, with project, seminars, internship and thesis across Semesters 3 and 4.
| Course | L-T-P | Credits |
|---|---|---|
| Mathematics for Computer Science | 3-0-0 | 3 |
| High Performance Computing | 3-0-0 | 3 |
| Machine Learning | 3-0-0 | 3 |
| Algorithm Design Techniques | 3-0-0 | 3 |
| Advanced Database Systems | 3-0-0 | 3 |
| Seminar Paper | 0-0-2 | 1 |
| Course | L-T-P | Credits |
|---|---|---|
| Network Softwarization: Principles & Foundations | 3-0-0 | 3 |
| Big Data Analytics | 3-0-0 | 3 |
| Modern Operating Systems | 3-0-0 | 3 |
| Elective – I (from Basket 1) | 3-0-0 | 3 |
| Elective – II (from Basket 2) | 3-0-0 | 3 |
| Course | L-T-P | Credits |
|---|---|---|
| Industry Internship | 0-0-8 | 4 |
| Course | L-T-P | Credits |
|---|---|---|
| Capstone Project on Software Development | 0-0-4 | 2 |
| Departmental Elective II | 3-0-0 | 3 |
| Industry Internship | 2-0-0 | 2 |
| Industry Seminars | 0-0-0 | 0 |
| Master’s Thesis | 0-0-4 | 4 |
| Course | L-T-P | Credits |
|---|---|---|
| Dissertation Project | 0-0-32 | 16 |
Eligibility:
To be considered for the M.Tech programmes at Mahindra University:
Indian category & PIO / NRI
- Minimum 60% aggregate or equivalent in a full-time degree from a recognised university
- Final-semester candidates may apply
Academic background requirement
- B.E. / B.Tech in relevant disciplines such as Electrical, Electronics, Communication, Telecommunication, Instrumentation, Computer Science or related areas
- A valid GATE score is required for GATE-based admission consideration
Application process
- Submit the online application via the Mahindra University admissions portal
- Upload academic transcripts and required documents
- Participate in interview or interaction rounds, as applicable
Fee structure (per annum):
| Admission route | Academic fees | Hostel charges | Caution deposit* |
|---|---|---|---|
| GATE | ₹1,00,000 | Free boarding and lodging through Teaching Assistantship | ₹20,000 |
| Non-GATE | ₹1,00,000 | ₹2,10,000 | ₹20,000 |
*Refundable at the end of study or graduation. Hostel stay is mandatory for B.Tech students. Fees are subject to revision each year.
Stipend
- For GATE-qualified students: Each GATE-qualified and admitted student is offered a Teaching Assistantship, which includes a stipend of ₹18,000 per month along with free boarding and lodging.
- For non-GATE students: Based on performance in the M.Tech admission test and interview, a limited number of Teaching Assistantships may be awarded on the recommendation of the University PG Admissions Committee.
- Scholarships and financial aid: Merit-based and need-based scholarships may be available. Details and eligibility criteria are provided in the admission notification or brochure.

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Global academic partners
collaborating on exchanges, dual degrees, and joint research initiatives
From engineering classrooms to global careers
FAQs
It combines core computer science theory with advanced systems and applied computing rather than focusing only on application development.
Students work on programming-intensive coursework, system-level projects and applied research problems.
Yes. The curriculum begins with core foundations before moving into advanced domains.
Graduates move into roles such as software engineer, systems engineer, data engineer, security specialist and research engineer.
Yes. The final-year thesis and research focus provide a strong base for doctoral study.





