Overview
The M.Tech in Biomedical Engineering is a rigorous two-year postgraduate program that bridges engineering and clinical science. Students gain deep expertise in biomechanics, biomedical imaging, physiological systems, and clinical engineering design — supported by laboratory experience and a clinical observation component.
The program combines coursework with a substantial research or industry project, and equips graduates to contribute to the rapidly growing medical device, digital health, and clinical technology sectors. Branch code: AM9.
What the Program Develops
Core Focus Areas
Wearables & Devices
Digital Health
Biomechanics & Materials
Computational Modelling
Data Science & AI
Curriculum
Semester 1
| Course | Title | Type |
|---|---|---|
| AM5100 | Physiology for Engineers | Core |
| AM5110 | Biomechanics | Core |
| AM5120 | Core Course 3 | Core |
| AM5130 | Departmental Programme Elective 1 (DPE1) | Elective |
| AM5140 | Departmental Programme Elective 2 (DPE2) | Elective |
| — | Laboratory | Core |
Semester 2
| Course | Title | Type |
|---|---|---|
| AM5200 | Biomedical Engineering Systems | Core |
| AM5210 | Biomedical Imaging Systems | Core |
| AM5220 | Core Course 6 | Core |
| — | Free Electives (FREs) | Elective |
| — | Laboratories | Core |
Summer
| Course | Title | Type |
|---|---|---|
| — | Industrial Internship or Summer Project | — |
| — | Clinical Observation (hospital immersion) | — |
Semester 3
| Course | Title | Type |
|---|---|---|
| — | Seminar | — |
| — | Project Phase I | — |
Semester 4
| Course | Title | Type |
|---|---|---|
| — | Project Phase II (M.Tech Thesis) | — |
Elective Basket
Students choose from a broad elective pool spanning the following areas:
Eligibility & Admissions
Admissions are through the centralized M.Tech admissions portal (IIT Madras). GATE qualification is mandatory. Branch code: AM9.
- Apply / view eligibility: mtechadm.iitm.ac.in
Career Pathways
Graduates are equipped for careers in:
Medical Device Design
Clinical Engineering & Hospital Technology
Biomedical R&D
Digital Health & AI in Healthcare
Rehabilitation Engineering