B.Tech in Computation & Mathematics
A 4-year undergraduate programme integrating the precision of mathematics with the power of computation to prepare students for scientific & analytical careers.
B.Tech in computation & mathematics overview
We develop problem-solvers who unite theory and computation to drive real-world innovation, grounded in mathematics, algorithms, and scientific computing for impact across AI, data science, optimisation, and quantitative research. Students experience:
Course grounded firmly
in advanced mathematical disciplines such as linear algebra, complex analysis, enabling conceptual mastery beyond routine engineering maths
Experiential computational
and programming training through data structures, graph algorithms, cryptography and computational biology, all taught alongside mathematical models
Interdisciplinary specialisation
including advanced electives in quantum computing, computational biology, and cryptography enable exploration of frontier scientific domains
Research and innovation
culture through mathematical modelling projects, research internships, and capstone collaborations, to develop analytical creativity and industry-ready expertise
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 |
|---|---|---|
| Mathematics – I (Calculus & ODE) | 4-1-0 | 5 |
| Chemistry – I | 2-1-0 | 3 |
| Introduction to Electrical Engineering | 2-1-2 | 4 |
| Engineering Drawing | 0-0-3 | 1.5 |
| Earth & Environmental Sciences | 2-0-0 | 2 |
| Thermodynamics | 2-1-0 | 3 |
| Media Project | 1-0-2 | 1.5 |
| English & Humanities – I | 1-2-2 | 4 |
| French Language & Culture – I | 0-2-0 | 0 |
| 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 |
| Discrete Mathematics | 2-0-0 | 2 |
| Introduction to Computing Workshop | 0-0-2 | 1 |
| Professional Ethics | 0-1-0 | 1 |
| French – II | 0-2-0 | 0 |
| Course | L-T-P | Credits |
|---|---|---|
| Probability & Statistics | 3-1-0 | 4 |
| Data Structures | 3-0-2 | 4 |
| Graph Algorithms / Real Analysis** | 3-0-0 | 3 |
| Programming Workshop | 0-0-2 | 1 |
| Lean Start-up | 0-0-3 | 1 |
| Economics (Fractal) | 3-0-0 | 1.5 |
| French – III | 0-2-0 | 0.5 |
| Course | L-T-P | Credits |
|---|---|---|
| Numerical Methods | 3-0-2 | 4 |
| Theory of Computation | 3-0-0 | 3 |
| Advanced Mathematics / Computational Elective* | – | 3–4 |
| Programming / Workshop | 0-0-2 | 1 |
| Design Thinking | 1-0-2 | 2 |
| French – IV | 0-2-0 | 0.5 |
| Financial Accounting | 3-0-0 | 1.5 |
| Course | L-T-P | Credits |
|---|---|---|
| Design & Analysis of Algorithms | 3-0-2 | 4 |
| Database Management Systems | 3-0-2 | 4 |
| Operating Systems | 3-0-2 | 4 |
| Elective I | 3-0-0 | 3 |
| Elective II | 3-0-0 | 3 |
| HSS Elective I | 2-0-0 | 2 |
| Course | L-T-P | Credits |
|---|---|---|
| Elective III | 3-0-0 | 3 |
| Elective IV | 3-0-0 | 3 |
| Professional Development & Employability Skills | 2-0-0 | 2 |
| 3rd Year Project | 0-1-4 | 3 |
| HSS Elective II | 2-0-0 | 2 |
| French – VI (Optional) | 0-2-0 | 0 |
| Course | L-T-P | Credits |
|---|---|---|
| Elective V | 3-0-0 | 3 |
| Elective VI | 3-0-0 | 3 |
| Final Year Project – Phase I | 0-0-18 | 9 |
| HSS Elective III | 2-0-0 | 2 |
| French – VII (Optional) | 0-2-0 | 0 |
| Course | L-T-P | Credits |
|---|---|---|
| Elective VII | 3-0-0 | 3 |
| Elective VIII | 3-0-0 | 3 |
| Final Year Project – Phase II | 0-4-10 | 9 |
| French – VIII (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 programme is designed to build dual expertise, nurturing students who can think mathematically and code computationally. This rare combination enables them to excel in data science, AI, quantitative finance, research, and advanced analytics roles across industries.
This programme is ideal for curious, analytical thinkers who enjoy logic, problem-solving, and exploring how mathematical theory powers modern technology. It develops both conceptual understanding and practical application, preparing students for innovation-led careers.
While traditional computer science focuses primarily on coding, computation & mathematics deepens students’ understanding of the mathematical principles driving algorithms and models. This gives them a strong conceptual edge in high-end computational research and emerging tech domains.
Students engage in research internships, mathematical modelling workshops, and interdisciplinary capstone projects in collaboration with Mahindra University’s research centres and industry partners, offering real-world exposure from early on.
Graduates are well-prepared for careers in data science, operations research, financial analytics, cybersecurity, AI research, and academia. Many also pursue advanced studies at leading international universities.
