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Prepare for a career in Biomedical & AI

Steer the future of healthcare by joining our M. Tech. program in Biomedical Engineering and Artificial Intelligence. Skill yourselves with the dual advantage of biomedical engineering and AI. This program offers an interdisciplinary study of Engineering and Medical technology tailored to the demands of the world’s fastest-growing industry – Healthcare!

Upskill to become industry and research ready:

Biomedical instrumentation
Data analytics
AI in Health

Key Performance Indicators

100% placements for our graduates
80% of our students get internships in 1st year itself
20% graduates pursue a PhD in Biomedical

Advantages

Fully equipped laboratories for Instrumentation, Embedded Systems, IoT, Signal Processing, AI and Data
International collaborations and dual degree
Internationally qualified and experienced faculty
1-week internship at the largest hospital facility in India
Thesis work on solving real-world biomedical & clinical challenges
Internship & placements in India’s most sought after biomedical companies

Attention Please!

Amrita Vishwa Vidyapeetham has not appointed any Agent or Third-Party Client for securing admission in any programme. Students are hereby requested to contact only the toll-free number on our website for any admission related queries.

– Issued In Public Interest By Directorate Of Admissions And Academic Outreach

Faculty

M. Tech. in Biomedical Engineering and Artificial Intelligence ( For Working Professionals & Regular Students)
Dr. Maneesha Vinodini Ramesh

Director, Amrita Center for Wireless Networks & Applications

M. Tech. in Biomedical Engineering and Artificial Intelligence ( For Working Professionals & Regular Students)
K. A. Unnikrishna Menon

Visiting Faculty, Amrita Center for Wireless Networks and Applications (AmritaWNA), Amritapuri

M. Tech. in Biomedical Engineering and Artificial Intelligence ( For Working Professionals & Regular Students)
Balaji Hariharan

Associate Professor, Amrita Center for Wireless Networks and Applications (AmritaWNA), Amritapuri

M. Tech. in Biomedical Engineering and Artificial Intelligence ( For Working Professionals & Regular Students)
Sethuraman Rao

Associate Professor, Amrita Center for Wireless Networks and Applications (AmritaWNA), Amritapuri

M. Tech. in Biomedical Engineering and Artificial Intelligence ( For Working Professionals & Regular Students)
Dr. Radhagayathri Udhayakumar

Associate Professor, Amrita Center for Wireless Networks and Applications (AmritaWNA), Amritapuri

M. Tech. in Biomedical Engineering and Artificial Intelligence ( For Working Professionals & Regular Students)
Dr. Rekha P.

Assistant Professor (Sl. Gd.), Amrita Center for Wireless Networks & Applications (AmritaWNA), Amritapuri

M. Tech. in Biomedical Engineering and Artificial Intelligence ( For Working Professionals & Regular Students)
Dr. Martin J. Montag

Assistant Professor (Selection Grade), Amrita Center for Wireless Networks & Applications (Amrita WNA), Amritapuri Campus

M. Tech. in Biomedical Engineering and Artificial Intelligence ( For Working Professionals & Regular Students)
Dr. Rahul Krishnan Pathinarupothi

Assistant Professor (Sl. Gd.), Amrita Center for Wireless Networks & Applications (AmritaWNA), Amritapuri

M. Tech. in Biomedical Engineering and Artificial Intelligence ( For Working Professionals & Regular Students)
Dr. Uma Gopalakrishnan

Assistant Professor (Sl. Gd.), Amrita Center for Wireless Networks and Applications (AmritaWNA), Amritapuri

M. Tech. in Biomedical Engineering and Artificial Intelligence ( For Working Professionals & Regular Students)
Dr. Nagesh Subbanna

Assistant Professor, Center for Wireless Networks & Applications (Amrita WNA), Amritapuri

Program Overview

Learning Objectives

The Program, Biomedical Engineering and Artificial Intelligence at Amrita Vishwa Vidyapeetham has the following objectives:

  1. Ability to understand and apply the fundamentals of life sciences, physical sciences, mathematics and engineering in this area.
  2. Students to get internship/placements in the relevant area and to demonstrate a degree of mastery in corresponding specializations.
  3. Research careers for pursuing higher degrees and ability to independently carry out research and development to solve practical problems.
  4. Inspire students to continue and expand their knowledge for adapting in a rapidly changing global environment.

See Also

Programme Outcomes
PO1 An ability to independently carry out research/investigation and develop to solve practical problems
PO2 An ability to write and present a substantial technical report / document
PO3 Students should be able to demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than requirements in appropriate bachelor program
PO4 Understanding of how the basic theories can be applied to solve practical problems.
PO5 Ability to bridge the gap from research to community needs

Program Educational Outcomes  

PEO1  Understanding of the biomedical instrumentation and signal processing ecosystem, devices, and current practices in the academia and industry 
PEO2  Develop skills on developing, applying and evaluating signal processing and data analysis technique in healthcare applications 
PEO3  Develop critical understanding of state-of-art research in the field of biomedical instrumentation, signal processing, data analysis, and machine learning, and develop capability to design embedded systems and associated instruments for medical applications 
Thrust Areas in Research
  • Low Cost Health Care Systems and Solutions.
  • Signal Processing
  • Embedded Systems
  • Stochastic Process

Placements

Our alumni intern / work at MNCs & prominent academic institutions:

Facilities and Infrastructure

Signal generators and amplifiers, Data acquisition systems, Digital signal processing tools, Biopotential electrodes, Physiological monitors, Oscilloscopes and DSO, spectrum analysers. Test and measurement tools, such as multimeters and function generators, are used to test and calibrate electronic equipment. Microcontrollers and development boards to develop and test electronic circuits and signal processing algorithms. Prototyping tools: This includes tools such as breadboards, wires, and connectors, which are used to build and test electronic circuits.
Biomedical Instrumentation Lab

Biomedical Instrumentation Lab

Biomedical Instruments Lab

Biomedical Instruments Lab

Biomedical Signal Processing Lab

Biomedical Signal Processing Lab

Embedded Systems Lab

Embedded Systems Lab

 
Smart Energy Systems Lab

Smart Energy Systems Lab

Landslide Lab

Landslide Lab

Hardware Lab

Hardware Lab

Geotechnical Lab

Geotechnical Lab

Networks Operations Center

Networks Operations Center

Curriculum

First Semester
Type Course Code Course Name L T P    Credit
FC 23MA604 Applied Mathematics and Data Analytics 3 0 1 4
FC 23BI601 Applied Data Structures and Algorithms 1 0 1 2
SC 23BI602 Human Physiology 2 0 0 2
SC 23BI603 Embedded System Design 3 0 1 4
SC 23BI604 Bioinstrumentation 2 0 1 3
SC 23BI605 Biomedical Instruments and Data Interpretation 3 0 0 3
HU 22AVP103 Mastery over Mind 1 0 2 2
HU 22ADM501 Glimpses of Indian Culture 2 0 1 P/F
HU 23HU601 Career Competency I* 0 0 3 P/F
Total Credits 20

*Non-credit Course 
1 lecture (L) session = 1 hour
1 practical (P) session = 3 hours

Second Semester
Type Course Code Course Name L T P    Credi t
SC 23BI611 IoT in Healthcare 2 0 1 3
SC 23BI612 Applied Machine learning 3 0 1 4
SC 23BI613 Biomedical Signal Processing 3 0 1 4
SC 23RM704 Research Methodology 2 0 0 2
E Elective 1 3 0 0 3
E 23BI742 Elective 2 Biomedical Image Processing 2 0 1 3
P 23BI681 Live-in-Labs-I – Participatory Design 0 0 0 0
HU 23HU611 Career Competency II 0 0 3 1
HU Total Credits 20

1 lecture (L) session = 1 hour
1 practical (P) session = 3 hours 

Third Semester
Type Course Code Course Name L T P Credit
E Elective 3 3 0 0 3
P 23BI798 Dissertation- Phase I 10
P 23BI781 Live-in-Labs II- Lab-to-Field: People Centred Innovation 0 0 1 1
Total Credits 14

1 lecture (L) session = 1 hour
1 practical (P) session = 3 hours

Fourth Semester
Type Course Code Course Name L T P Credit
P 23BI799 Dissertation- Phase II 16
Total Credits 16

1 lecture (L) session = 1 hour
1 practical (P) session = 3 hours

Elective-1
Domain: Instrumentation
Type Course Code Course Name L T P  Credit
E 23BI731 Wearable Biomedical Systems 3 0 0 3
E 23BI732 Biosensors 3 0 0 3
E 23BI733 BioMEMS 3 0 0 3
E 23BI734 Virtual Instrumentation 3 0 0 3
Elective-2
Domain: Artificial intelligence/Data processing
Type Course Code Course Name L T P  Credit
E 23BI741 Medical Robotics 3 0 0 3
E 23BI742 Biomedical Image processing 2 0 1 3
E 23BI743 Bio-Inspired Computing 3 0 0 3
E 23BI744 Mobile Computing 2 0 1 3
Elective-3
Domain: Signal Processing/ Artificial intelligence
Type Course Code Course Name L T P Credi t
E 23BI751 Multivariate Signal Processing 3 0 0 3
E 23BI752 Speech and Audio processing 3 0 0 3
E 23BI753 Computer Vision 3 0 0 3
E 23BI754 Artificial Intelligence in Healthcare 3 0 0 3
23BI755 Brain-computer interfacing 3 0 0 3
Curriculum and Syllabus
Eligibility

Admission Processes

Duration

Two years

Eligibility Criteria

Applicants should have any of the following, scoring a minimum of 60% with a pass.

  • B.Tech. or B.E. in (Applied Electronics and Instrumentation, Bioinformatics, Biomedical Engineering, Biotechnology, Computer Engineering, Computer Science and Engineering, Electrical and Electronics Engineering, Electrical Engineering, Electronics and Communication Engineering, Electronics and Instrumentation Engineering, Electronics Engineering, Industrial and Production Engineering, Industrial Engineering and Management, Industrial Engineering, Information Science and Engineering, Information Technology, Instrumentation and Control Engineering, Instrumentation Engineering, Manufacturing Technology, Material Science Engineering, Mechatronics Engineering, Medical Electronics, Robotics Engineering, Software Engineering, Telecommunication Engineering)
  • B.Tech. in (Applied Mechanics, Biochemical Engineering, Biomedical Instrumentation, Biotechnology and Biochemical Engineering, Cloud Computing & Virtualization Technology, Computer and Information Science, Electronics and Media Technology, Electronics and Nanotechnology, Electronics and Telecom Engineering, Engineering Physics, Industrial Biotechnology, Information and Communication Technology, Mathematics and Computing, Nanotechnology, Optics and Optoelectronics, Physical Sciences, Power Engineering, Power System Engineering)
  • B.E. in (Power Electronics, Production & Industrial Engineering, Production Engineering)
  • M.Sc. in (Applications of Mathematics, Applied Economics, Biomedical Science, Computer Applications, Computer Communication, Computer Science, Computer Technology, Electronics, Electronics & Communication, Electronics and Instrumentation, Electronics and Telecommunications, Instrumentation Technology, Medical Imaging Technology, Medical Technology, Microelectronics and Advanced Communication)
  • MCA
MTech Program Fee 2022 (Per Semester)

Terms and Conditions of Scholarship:

Students must pay the regular semester fees of Rs. 79,500/- at the time of admission.

Scholarship Rules

Alumni Testimony

Alumni Testimonial

Yogesh Kumar
(2020-22 Batch)

M.Tech Biomedical Instrumentation program offered at Amrita Vishwa Vidyapeetham helped me develop my technical and personal skills that transformed me into a confident and industry ready person. I feel grateful for my institution for supporting me to get this exciting opportunity at INXEE.

Chitranjali
(2020-22 Batch)

One of the factors that makes Amrita different from other universities is its curriculum. It includes more practical sessions than theory sections in current technologies, which helps us gain knowledge and prepare us for real-world engineering skills. Amrita has a dedicated course for placement training, which helps to groom soft skills, social skills and aptitude skills. All these things will help me to get an internship at INXEE and TATA ELXSI

Sanjeevi
(Intern at Applied Materials, 2020-22 Batch)

Experienced faculty members created a friendly environment in classes.the Multidisciplinary syllabus & curriculum with advanced topics like machine learning, data structure, and image processing and Hands on experience in lab sessions.These things were really helped me during my interview process.

Why Amrita

The top reasons to choose Amrita for your career

601-800th

World University Rankings 2019

141

BRICS Rankings 2020

801–1000th

World University Rankings 2019

168th

BRICS University Rankings 2020

7th

India University Rankings 2023

15th

Overall Rankings 2023
ranking
7th Best
University in India
ranking
Amrita Ranked No.1 in India Top 100 in The World
ranking
Topmost
‘A++’ Grade

Contact Us

If you wish to know more about the course please mail to,
mtech@amrita.edu

Call : +91 85890 04787

Admissions Apply Now