B.Tech in Computer Science Engineering
A 4-year undergraduate program developing computer scientists through a curriculum focused on real-world problem-solving, and industry collaboration.
B.Tech in computer science overview
Our programme builds expertise beyond just coding. The curriculum is structured to give students deep knowledge of computational theory and software design, ensuring they graduate as innovators who can architect complex digital solutions. Students experience:
Foundational mastery
of algorithms, data structures, and computational theory for programming excellence
Hands-on development
with coding labs, software projects, and building full-stack applications
Cutting-edge specialisations
in AI, Cybersecurity, and Data Science through advanced electives and research
Industry-aligned innovation
via hackathons, capstone projects, and internships solving real-world problems
Programme details
Academic structure
Our academic structure is designed to establish robust foundations, followed by increasing specialization in later years.
- Credit structure: Basic Sciences, Computing & Engineering, Humanities, Social & Creative Sciences, Media Studies, Design & Enterprise Sciences
- Total credits & degree requirement: The programme requires not less than 165 credits to be awarded a B.Tech degree.
- Duration: 4 years / 8 semesters
- Core vs Professional phases: The first two years constitute the “Core Program,” and the last two years the “Professional Program,” with electives introduced in the latter phase.
| Course | L-T-P | Credits |
|---|---|---|
| Math I – Calculus & ODE | 4-1-0 | 5 |
| Earth and Environmental Sciences | 2-0-0 | 2 |
| Fundamentals of Drawing & Practice | 0-0-4 | 2 |
| Introduction to Computer Science | 2-1-2 | 4 |
| Learning to Learn | 1-0-2 | 2 |
| Photography I: Still and Moving Images | 1-0-4 | 3 |
| Introduction to Media and Communication | 1-0-2 | 2 |
| French I | 0-2-0 | 0.5 |
| Course | L-T-P | Credits |
|---|---|---|
| Mathematics – II | 3-1-0 | 4 |
| Physics – I | 2-1-2 | 4 |
| Chemistry – II | 2-0-2 | 3 |
| Electronics | 2-1-2 | 4 |
| Introduction to Computer Science | 2-1-2 | 4 |
| Workshop Practice | 0-0-2 | 0 |
| Introduction to Enterprises & Economy | 2-1-0 | 3 |
| Professional Ethics | 0-1-0 | 1 |
| French Language & Culture – II | 0-2-0 | 0 |
| Course | L-T-P | Credits |
|---|---|---|
| Probability & Statistics | 3-1-0 | 4 |
| Optimization Techniques for AI | 3-0-0 | 3 |
| Signals & Systems | 3-1-0 | 4 |
| Design & Analysis of Algorithms | 2-1-2 | 4 |
| Lean Start-up | 1-0-0 | 1 |
| Principles of Economics | 3-0-0 | 1.5 |
| French – III | 0-2-0 | 0.5 |
| Course | L-T-P | Credits |
|---|---|---|
| Machine Learning with Python | 3-0-2 | 4 |
| Artificial & Computational Intelligence | 2-1-2 | 4 |
| Theory of Computation | 3-0-0 | 3 |
| Digital Logic & Computer Architecture | 3-1-0 | 4 |
| Financial Accounting | 3-0-0 | 1.5 |
| Course | L-T-P | Credits |
|---|---|---|
| Design & Analysis of Algorithms | 2-1-2 | 4 |
| DBMS | 3-0-2 | 4 |
| Operating Systems | 3-0-2 | 4 |
| Microprocessors & Interfacing | – | 3 |
| Object Oriented Programming | – | 3 |
| Course | L-T-P | Credits |
|---|---|---|
| Big Data Analytics | – | 3 |
| Computer Networks | – | 3 |
| Software Engineering | – | 3 |
| High Performance Computing | – | 3 |
| Professional Development & Employability Skills | – | 2 |
| Course | L-T-P | Credits |
|---|---|---|
| Distributed Systems | – | 3 |
| Compiler Design | – | 3 |
| Cryptography & Network Security | – | 3 |
| Elective I | – | 3 |
| Elective II | – | 3 |
| Course | L-T-P | Credits |
|---|---|---|
| Advanced Electives | – | 3–4 |
| Final Year Project | – | 6+ |
| French Language & Culture (Optional) | 0-2-0 | 0 |
Eligibility:
Indian category & PIO/NRI:
- Must have passed 10+2 (or equivalent) from a recognised board, with physics, chemistry and mathematics in 12th grade are eligible.
- Minimum aggregate of 60% or equivalent in 10+2 for candidates applying through JEE / SAT / ACT.
- One of the following accepted test scores:
- Qualify JEE (Main) and be eligible to write JEE Advanced (or achieve top All India Rank in JEE Main)
- Valid SAT Subject Test scores (Mathematics, Physics, Chemistry), minimum 1800
- Valid SAT Test Score (minimum 800)
- Valid ACT composite score (minimum 18)
- For applications via SAT / ACT, a technical & aptitude-based interview may be required.
Application process:
- Submit the online application via the MU admissions portal.
- Provide relevant test scores, academic transcripts, and any other required documents.
- Participate in interview / interaction rounds (for SAT / ACT applicants and others as applicable).
Fee structure (per annum):
| Category | Academic fees | Hostel charges | Caution deposit * |
|---|---|---|---|
| Indian Students | ₹ 5,00,000 | ₹ 2,10,000 | ₹ 20,000 |
| PIO / NRI Students | USD 9,000 | USD 3,500 | USD 400 |
*Refundable at the end of study or graduation. Hostel stay is mandatory for B.Tech students. Fees are subject to revision each year.
Scholarships and financial aid
- Merit-based and need-based scholarships may be available (MU should provide details).
- Financial aid programs are offered to promising students.
- Details and criteria will be in the admission notification or brochure.
Where global education meets real-world outcomes
From AI and biotechnology to aerospace and consulting, our graduates are shaping industries worldwide; many joining leading firms, founding start-ups, or pursuing advanced study at top universities
250+
Graduate acceptances
for advanced studies at premium universities across the world
100+
Recruiters
offering career-defining opportunities across industries
20+
Global academic partners
collaborating on exchanges, dual degrees, and joint research initiatives
From engineering classrooms to global careers
Hear what our students say…
“Here, teaching and research are not separate silos. Every project is an opportunity to involve students, to make them active contributors to new knowledge.”
“The University’s global partnerships have allowed me to co-teach with peers abroad and bring international perspectives into the classroom, something our students truly value.”
“What excites me at Mahindra University is the freedom to pursue interdisciplinary research. Collaborating with colleagues from engineering and social sciences has expanded my work in ways I never imagined.”
FAQs
The CSE curriculum is designed around 11 core departmental courses (40 credits) covering algorithms, data structures, databases, cryptography, and machine learning. It blends strong theoretical grounding with application-driven labs and projects, ensuring graduates are industry-ready from day one.
Students can pursue five professional and open electives (15 credits) in areas like High-Performance Computing, Data Mining, Information Security, Graphics, and Embedded Systems, allowing them to tailor their expertise toward emerging technologies.
The CSE programme encourages research from the undergraduate level, with faculty-mentored projects, capstone work, and access to research labs in AI, Robotics, and Computational Systems. Students are guided by Ph.D. faculty from top global institutions.
With a 12:1 student-faculty ratio, fully residential campus, and project-based learning culture, CSE students experience personalized mentorship, vibrant peer learning, and a collaborative atmosphere ideal for growth and innovation.
