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Biomedical Engineering

The Interdisciplinary Dual Degree programme in Biomedical Engineering aims to produce graduates with an up-to-date and fundamental understanding of biomedical engineering by integrating various engineering disciplines with biomedical sciences. This programme aims to produce graduates ready to hit the ground running in industry, foster new knowledge, and evolve leadership in biomedical engineering research and entrepreneurship.

Indian Institute of Technology Madras

Students of this program are expected to

  • Have a fundamental understanding of the concepts of Biomedical engineering and applications

  • Understand human physiology and acquire modelling skills for engineering human biology

  • Get hands-on experience with experimental techniques in Biomedical Engineering through laboratory sessions

  • Experience design of biomedical devices and perform data analytics

  • Utilize research opportunities in advanced topics of Biomedical Engineering in healthcare industries / Institute research labs

  • Be able to provide solutions for medical diagnostic and therapeutic challenges through close collaboration with medical schools/hospitals

Program Offers

The ID-DD programme is offered by faculty from Biomedical Engineering Group- Department of Applied Mechanics, Biotechnology, Electrical Engineering, Computer Science and Engineering, Mechanical Engineering, Materials and Metallurgical Engineering, Physics and Mathematics. The truly interdisciplinary nature of Biomedical Engineering is reflected in the joint programme collectively offered by various allied Departments.

Enrollment

A B. Tech student or a Dual Degree student of IIT Madras in any discipline can upgrade/opt for this programme provided the student has a CGPA of 8.0 or above up to the 5th semester. The total number of seats is fixed at 25, and the Institute’s rules will govern the allocation of dual degree specialization and award of the degree.

Curriculum

The students graduating under this programme are trained in fundamental engineering sciences and application-oriented skills in specific areas of biomedical engineering. This programme includes an optional introductory section in elective modules for the entire undergraduate community of IIT Madras. These modules enable students to appreciate the exciting possibilities in Biomedical Engineering and explore further studies in a dual Masters' degree by enrolling in the programme.

ID-DD-BME has a very flexible curriculum. The programme spans a period of the last two years of a five-year dual degree programme. Four out of seven theory courses are flexible to enable the students to choose from four major verticals of biomedical engineering such as biomaterials, bioinstrumentation, image and signal processing, and medical physics. This curriculum enables the students to explore diverse fields of biomedical engineering matched to the skills acquired as part of their UG curriculum. The interdisciplinary lab sessions in the curriculum range from circuit building exercises to cutting edge research-oriented experiments at various participating laboratories.

Frequent field visits to reputed medical, educational institutions, research centres, and hospitals help the students understand the current clinical needs to evolve ideas for product-oriented research. These students will emerge as an excellent fit for application-oriented product development. The curriculum also allows short term/ long term internships with potential companies/research organizations which could be extended to a full-year project to meet part of their credit requirements, wherever the project is deemed to fit our academic standards. Students can opt for industry internships, internships abroad through exchange programs, and an internship in Institute labs for final year projects. Industry collaborations would majorly focus on the development of indigenous products in the healthcare industry. IITM has excellent biomedical research labs in Biomedical signal processing, Biomedical instrumentation, Biophotonics, Non-invasive imaging, Biosensors, Biomedical ultrasound, Cell mechanics, Haptics, Virtual reality, Neuromechanics, Rehabilitation engineering, Medical materials and tissue engineering. Incorporating ML and AI to medical image and signal analysis helps the concept of automated disease diagnostics, an actively pursued research area at IITM. Our data science club further facilitates domain-specific student-faculty interactions.

Total Credits required

157

Interdisciplinary DD in Biomedical Engineering -course curriculum

Sl.No

Course No

Course Name

L

T

E

P

O

C

 

Semester 7

             

1

AM5119

Core 1: Physiology for Engineers

3

0

0

0

6

9

2

AM5010

Core 2: Biomechanics

3

0

0

0

6

9

3

Elective 1

Elective 1: To be selected from BME / core basket

3

0

0

0

6

9

4

AM5119

Physiological measurements and Instrumentation Laboratory

0

0

0

2

2

4

 

 

Total credits

 

 

 

 

 

31

 

Semester 8

 

 

 

 

 

 

 

1

MM5040

Core 3: Medical materials

3

0

0

0

6

9

2

AM5XXX

Core 4: To be selected from basket of core courses

3

0

0

0

6

9

3

Elective 2

Elective 2: To be selected from BME / core basket

3

0

0

0

6

9

4

AM 5019

Advanced BME lab

0

0

0

3

2

5

 

 

Total Credits

 

 

 

 

 

32

 

Semester 9

 

 

 

 

 

 

 

1

YYXXXX

Project-I (Summer) / Summer internship

0

0

0

0

15

15

2

Elective3

Elective 3: To be selected from BME / core basket

3

0

0

0

6

9

3

YYXXXX

Project II

0

0

0

0

30

30

 

 

Total Credits

 

 

 

 

 

54

 

   Semester 10

 

 

 

 

 

 

 

1

YYXXXX

Project III

0

0

0

0

40

40

 

 

Total Credits

 

 

 

 

 

40

ELECTIVE COURSES

 

 

Elective streams  (Basket of Biomedical Electives)

 

 

 

 

 

 

Sl.No

Stream 1

Biomechanics

L

T

E

P

O

C

1

PH5730

Methods of Computational Physics

3

0

0

0

6

9

2

ME6000

Computational Methods in Engg

3

0

0

0

6

9

3

MA6270

Numerical solutions of partial differential equations

3

0

0

0

6

9

4

MA5890

Numerical linear algebra

3

0

0

0

6

9

5

AM 7010

Classics in Neuroscience

3

0

0

0

6

9

6

AM 5170

Orthopedics Mechanics

3

0

0

0

6

9

7

AM 6190

Movement disorders and neurorehabilitation

3

0

0

0

6

9

8

AM 5190

Haptics and biomedical engineering

3

0

0

0

6

9

9

AM 5060

Psycophysics

3

0

0

0

6

9

10

AM 6516

Neuromechanics of human movement

3

0

0

0

6

9

11

ME6012

Mechanics of human movement

3

0

0

0

6

9

12

AM 5110

Biofluid mechanics

3

0

0

0

6

9

Sl.No

Stream 2

Biomedical instrumentation

 

 

 

 

 

 

1

AM 5050

Biomedical sensors and measurements

3

0

0

0

6

9

2

AM 5140

Biomedical instrumentation

3

0

0

0

6

9

3

AM 5100

Biomedical laser instrumentation

3

0

0

0

6

9

4

  AM5160

Biomedical imaging systems

3

0

0

0

6

9

5

AM 5013

Operating theatre instrumentation and surgical tech

3

0

0

0

6

9

6

AM 5115

Systems approach in Biomedical engineering

3

0

0

0

6

9

7

EE6403

Transducers for instrumentation

3

0

0

0

6

9

8

EE6402

Biomedical electronic systems

3

0

0

0

6

9

9

EE6501

Optical sensors

3

1

0

0

8

12

10

EE5502

Optical engineering

2

3

0

0

7

12

Sl.No

Stream 3

Medical Physics

 

 

 

 

 

 

1

AM 6518

Biophysical aspects of tumor microenvironment

3

0

0

0

6

9

2

AM 5190

Cellular structures and mechanics

3

0

0

0

6

9

3

AM 5120

Biomaterials

3

0

0

0

6

9

4

BT5011

Biomaterials engineering

3

0

0

0

6

9

5

EE5500

Introduction to photonics

3

0

0

0

6

9

6

EE6506

Computational electromagnetics

4

0

0

0

0

12

Sl.No

Stream 4

Image and Signal Processing in Biomedical Engineering

 

 

 

 

 

 

1

AM4010

Biomedical signal processing

3

0

0

0

6

9

2

CS6300

Speech Technology

3

0

0

0

6

9

3

CS6690

Pattern recognition

3

0

0

0

6

9

4

AM5020

Biomedical Ultrasonics

3

0

0

0

6

9

5

EE4240

Image signal processing

3

0

0

0

6

9

Research Facilities at a glance:

Snapshots from field visits:

Coordinating Faculty

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Applied Mechanics (BME group)

Contact Faculty

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N. Sujatha
nsujatha@iitm.ac.in