Biomedical Engineering (BME)
Area of Specialization under the Industrial Systems Engineering (ISE) program
Biomedical Engineering (BME) is an innovative, multidisciplinary academic program that integrates engineering, robotics, biological sciences, and medical sciences to address the evolving challenges of modern healthcare. The program is designed for students from diverse scientific and professional backgrounds, including chemistry, biology, health and life sciences, medicine, nursing, engineering, and biomedical-related disciplines.
Housed within the Faculty of Advanced Science and Technology (FAST) and established under the Industrial Systems Engineering (ISE) Department, the Master’s Program in Biomedical Engineering aims to develop highly skilled professionals equipped to contribute to the rapidly advancing medical and healthcare sectors, both regionally and internationally.
Biomedical Engineering applies engineering principles, advanced technologies, and innovative problem-solving approaches to improve human health and quality of life. By combining scientific knowledge with modern engineering methods and tools, the field focuses on developing technologically advanced, practical, and patient-centered solutions for healthcare. These solutions may range from medical devices, robotics, and intelligent healthcare systems to diagnostic technologies and other emerging biomedical innovations.
Through its interdisciplinary approach, the BME program seeks to bridge the gap between engineering, medicine, and the life sciences. It prepares graduates to address complex healthcare challenges, contribute to the advancement of modern medicine, and create new opportunities for innovation, research, and professional development in both academia and industry.
Research Focus Area
- Medical Robotics
- Rehabilitation Engineering and Artificial Organs
- Nanotechnology in healthcare
- Advanced Computing in Medicine
- Biosensors and Medical Instrumentation
- Regenerative medicine and Engineering
Preferred Background
The program is open to all Science and Engineering student who are currently studying or working or doing research in any of the following fields:
- Science: Chemistry, biology, health and life sciences, medicine, biochemistry, natural sciences, material sciences, physics.
- Engineering: Biomedical engineering, chemical engineering, mechanical engineering, and robotics or electronic engineering.
- Medical: Medicine, radiology, dentistry, pharmacy, nursing
Industry Partners & Academic Partners
| Cell Differentiation Hub, Singapore | Sail High Software Solutions (Thailand) Co., Ltd., Thailand | Sorbe Biotechnology Pvt.Ltd, India |
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| CARE Lab | Vinjamuri Lab | IIT-GN Robotics Lab | HuT Labs |
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Opportunities
“From Classroom to Industry: Building Global Careers in Biomedical Engineering”
Co-curriculum development: Curriculum aligned with real-world biotech, software, and medical device standards.
Sponsored research & thesis topics: Opportunities to work on real industrial challenges and access proprietary corporate data/platforms.
Internships & practical placement: Direct hands-on work experience within corporate R&D teams across USA, Singapore, Japan, India and Thailand.
Global networking & mentorship: Access to company executives, CTOs, and technical directors as project co-advisors and guest lecturers.
Career pathways & recruitment: Priority hiring pipelines for full-time roles in biomedical R&D, health informatics, and bio-entrepreneurship post-graduation.
Why study BME at AIT
Strong academia–industry collaboration — research projects and internships run with partner companies in the United States, Singapore, Japan, India and Thailand.
World-class research facilities — laboratories for materials characterisation, electrochemistry and biosensing, advanced microscopy, medical imaging and robotics.
International learning and research environment — students and faculty from across Asia and beyond, working in English on a single campus.
Innovation-driven education and applied research — coursework tied to real clinical and industrial problems rather than to textbook exercises.
Opportunities for global collaboration and professional growth — international conferences, exchange programmes and a regional alumni network.
Master’s programme structure
| Thesis Option | Research Option | |
|---|---|---|
| Required courses | 9 credits | 9 credits |
| Elective courses | 17 credits | 27 credits |
| Thesis / research option | 22 credits | 12 credits |
| Total | 48 credits | 48 credits |
Students may follow either the thesis option or the research option. Both total 48 credits.
Doctoral programme
The doctoral programme requires a minimum of 84 credits, including a minimum of 12 credits of coursework taken at AIT, of which up to 3 credits may be special study. This coursework must be completed before the student advances to candidacy. The dissertation carries 72 credits in the regular doctoral programme.
Doctoral candidates work within one of the four research themes and are expected to publish in international peer-reviewed journals and present at international conferences during their candidature.
Course Structure
In summary, a master’s student in Medical Engineering (MDE) follows:
| Course ID | Course Title | Credits | Remark |
|---|---|---|---|
| AT86.02 | Physiology for Medical Engineering | 3(30-45) | Required |
| AT84.02 | Fundamentals of Bionanotechnology | 3(30-45) | Elective |
| AT74.03 | Sensing and Actuation | 3(30-45) | Elective |
| AT72.03 | Statistical Models and Design of Experiments | 3(45-0) | Elective |
| AT84.0X | Materials and Mechanics in Medicine | 3(45-0) | Elective |
| AT86.05 | Medical Instrumentation and Imaging | 3(45-0) | Required |
| AT82.0X | Machine Learning in Healthcare | 3(45-0) | Elective |
| AT81.15 | Embedded Systems Architecture | 3(45-0) | Elective |
| AT84.07 | Biosensors and Bioelectronics | 3(30 – 45) | Elective |
| AT86.03 | Biomechanics | 3(30-45) | Required |
| AT86.04 | Tissue Engineering and Prosthetics | 3(30-45) | Elective |
| AT84.06 | Biomimetics | 3(30-45) | Elective |
| AT74.05 | AI and Neuro-Fuzzy Theory | 3(45-0) | Elective |
| AT86.01 | Biomaterials for Medical Engineers | 3(30-45) | Required |
| AT84.0X | Biomedical Signal Processing | 3(30-45) | Elective |
| AT82.09 | Human-Computer Interaction and Information Visualization | 3(45-0) | Elective |
| Medical Engineering and Robotics Technology | 3(45-0) | Elective |
Concerned Faculty
Administrative staff
Testimonials from Current Students
“As a pioneer student, I’ve learned that the path of discovery is often paved with uncertainties. Yet, with each step into the unknown, I have realized that overcoming apprehensions is the gateway to profound growth. Every class, every challenge as a student of Biomedical Engineering at AIT has shaped who I am today. We are the architects of our futures, equipped with the knowledge to build bridges where there were gaps. Here is to embracing the challenges, cherishing the victories, and carrying the pioneering spirit forward. The best is yet to come.”
— MD Shakil Ahmed, (Completed M.Eng.)
“As a current student in Biomedical Engineering (BME), I am passionate about using technology to improve healthcare. Every day, I am inspired by the potential of this field to make a real difference in people’s lives. I see Biomedical Engineering as a bridge between medicine and technology, where innovation meets compassion. My studies are not just about learning; they are about preparing to contribute to a field that has the power to change the world for the better.”
— Naveen Kareria, (Completed M.Eng.)
Highlights
“Learn through experience. Research with purpose. Connect globally. Innovate for better healthcare”
Hands-On Learning, Clinical Exposure & Translational Research
The programme integrates classroom learning, laboratory training, clinical exposure, and translational research, enabling students to connect fundamental knowledge with real-world biomedical challenges. Students gain practical experience in medical technologies, instrumentation, biomedical materials, robotics, and AI-enabled healthcare, while developing the skills to translate research innovations from the laboratory towards practical clinical and healthcare applications.
Research & Innovation
Students engage in research from an early stage, contributing to projects across biomedical engineering, medical robotics, medical instrumentation, biomedical materials, and AI-driven healthcare. The research environment encourages innovation, critical thinking, and interdisciplinary problem-solving.
Global & Interdisciplinary Learning
AIT provides an international and multidisciplinary learning environment, bringing together engineering, healthcare, technology, and data science. Students develop a global perspective and learn to address biomedical challenges across diverse healthcare settings.
Industry-Relevant Skills & Career Pathways
The curriculum is aligned with emerging industry needs, preparing graduates for careers in medical device development, biomedical R&D, clinical engineering, health informatics, regulatory and quality management, research institutions, and healthcare start-ups.
AI-MERT 2025 — Building a Global Research Platform
The 1st International Conference on AI Innovations in Medical Engineering and Robotics Technology (AI-MERT 2025) provided a platform for researchers, clinicians, engineers, and technology professionals to exchange ideas on emerging applications of artificial intelligence, medical engineering, robotics, and healthcare technologies. The conference also provided BME students with opportunities to present their research, engage with international experts, and build academic and professional networks.
AI-MERT 2027 — Expanding International Collaboration
Building on the success of AI-MERT 2025, AIT will host the 2nd International Conference on AI Innovations in Medical Engineering and Robotics Technology (AI-MERT 2027) on 12–13 March 2027 at the AIT Conference Center, Pathum Thani, Thailand.
The conference brings together researchers, clinicians, engineers, and technology leaders working at the intersection of AI, medical engineering, robotics, and intelligent healthcare. BME students can participate as presenters, delegates, volunteers, and emerging researchers, gaining exposure to international research, innovation, and professional networks.
For more information: https://ai-mert.ait.ac.th/
Program Activity:
BART Lab Visit
Students have the opportunity to visit the BART Lab and gain first-hand exposure to advanced research environments in biomedical engineering and robotics. The visit provides insight into how research, engineering systems, and emerging technologies are translated into practical biomedical applications.
Workshop: AI for Stroke Prediction & Recovery
A dedicated workshop on AI for Stroke Prediction & Recovery Analysis introduces students to the application of artificial intelligence and data-driven approaches in neurological healthcare. The workshop highlights how AI can support stroke prediction, patient assessment, recovery analysis, and personalized rehabilitation, connecting computational methods with real-world clinical challenges.
