M.Tech in Biomedical Data Sciences
A two-year postgraduate programme at the intersection of life sciences and data science.
M.Tech in biomedical data sciences overview
The programme integrates biological sciences with data science to prepare graduates to analyse complex biomedical data for research and healthcare applications. Students experience:
Biomedical data foundations
Learning in statistics, computational biology, programming and data management for biomedical datasets.
Machine learning in healthcare
Application of machine learning to clinical trials, biomedical imaging and healthcare decision-making.
Hands-on work with real data
Workshops using genomics, imaging and digital health data, from cleaning to interpretation.
Interdisciplinary research exposure
Systems biology, network modelling and research projects focused on real biomedical problems.
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 |
|---|---|---|
| Computational Biology | 3-0-0 | 3 |
| Statistics for Biomedical Data Science | 3-0-2 | 4 |
| Python Programming | 2-0-2 | 3 |
| Linux Workshop | 0-0-2 | 1 |
| Data Management and Engineering | 3-0-0 | 3 |
| Workshop in Data Visualization | 0-0-2 | 1 |
| Course | L-T-P | Credits |
|---|---|---|
| Machine Learning for Biomedical Data Science | 3-0-0 | 3 |
| Clinical Trials: Design & Analysis | 3-0-0 | 3 |
| Algorithms in Biomedical Data Science | 3-0-0 | 3 |
| Biomedical Imaging | 3-0-0 | 3 |
| Workshop in Genomics Data Analysis | 0-0-2 | 1 |
| Elective I | 3-0-0 | 3 |
| Course | L-T-P | Credits |
|---|---|---|
| Digital Health Informatics | 3-0-0 | 3 |
| Systems Biology & Network Modeling | 2-0-2 | 3 |
| Research Project – I | 0-0-12 | 6 |
| Elective II | 3-0-0 | 3 |
| Course | L-T-P | Credits |
|---|---|---|
| Research Project – II | 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.
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
All core courses and projects are anchored in biomedical and healthcare data rather than generic applications.
Yes. The curriculum is designed to support both biology-focused and engineering-focused learners.
Students work with genomics, imaging, clinical trial and digital health datasets.
Graduates pursue roles in biomedical data science, bioinformatics, health analytics and research.
Yes. The final year focuses on research projects and thesis work, supporting doctoral pathways.
