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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
Director, Amrita Center for Wireless Networks & Applications
Visiting Faculty, Amrita Center for Wireless Networks and Applications (AmritaWNA), Amritapuri
Associate Professor, Amrita Center for Wireless Networks and Applications (AmritaWNA), Amritapuri
Associate Professor, Amrita Center for Wireless Networks and Applications (AmritaWNA), Amritapuri
Associate Professor, Amrita Center for Wireless Networks and Applications (AmritaWNA), Amritapuri
Assistant Professor (Sl. Gd.), Amrita Center for Wireless Networks & Applications (AmritaWNA), Amritapuri
Assistant Professor (Selection Grade), Amrita Center for Wireless Networks & Applications (Amrita WNA), Amritapuri Campus
Assistant Professor (Sl. Gd.), Amrita Center for Wireless Networks & Applications (AmritaWNA), Amritapuri
Assistant Professor (Sl. Gd.), Amrita Center for Wireless Networks and Applications (AmritaWNA), Amritapuri
Assistant Professor, Center for Wireless Networks & Applications (Amrita WNA), Amritapuri
The Program, Biomedical Engineering and Artificial Intelligence at Amrita Vishwa Vidyapeetham has the following objectives:
| 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 |
| 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 |
Our alumni intern / work at MNCs & prominent academic institutions:
| 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
| 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
| 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
| 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
| 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 |
| 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 |
| 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 | |
Two years
Applicants should have any of the following, scoring a minimum of 60% with a pass.
Terms and Conditions of Scholarship:
Students must pay the regular semester fees of Rs. 79,500/- at the time of admission.
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.
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
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.
The top reasons to choose Amrita for your career
If you wish to know more about the course please mail to,
mtech@amrita.edu
Call : +91 85890 04787
