Sept 2027 Entry
1.5 years (Full-time)
2.5 years (Part-time)
31
Early Round: 2026-10-20
Main Round: 2027-02-25
Early Round: 2026-10-20
Main Round: 2027-02-25
What's New
- Taught Postgraduate
- Undergraduate
- Undergraduate
Programme Aims
The programme has the following aims:
(a) To nurture BMI professionals and specialists with professional competence, strategic thinking, and lifelong learning capability to benefit mankind.
(b) To provide students with scientific and engineering knowledge, as well as the advanced technology tools necessary for worldwide applications of BMI.
(c) To cultivate critical thinking and problem-solving abilities through multidisciplinary collaboration and communication.
Characteristics
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Comprehensive coverage of key BMI domains, integrating fundamental science with engineering methodologies and computational tools.
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A modular curriculum structure combining core and elective subjects, offering flexibility and opportunities for independent study through dissertation or project-based learning.
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Interdisciplinary teaching supported by expertise across multiple departments, with a strong emphasis on developing analytical, quantitative, and experimental skills.
The Master of Science (MSc) in Brain-Machine Interface offers a unique interdisciplinary pathway combining neuroscience, biomedical engineering, artificial intelligence and data science. With a strong focus on translating cutting-edge BMI technologies into real-world applications, the programme prepares graduates for emerging opportunities in healthcare, rehabilitation, smart systems and human–machine interaction. It is ideal for students and professionals aiming to shape the future of BMI innovation and industry.
Programme Structure
The programme provides students with the option to study either full-time or part-time.
- Full-time students normally take five subjects per semester, and the normal study period is 1.5 years.
- Part-time students normally take two to three subjects per semester, and the normal study period is 2.5 years.
In general, each subject requires a 3-hour class per week over a 13-week semester, and subjects are offered on weekday evenings.
Students who enrol in the programme may select from a wide range of subjects in neural engineering, robotics, brain-computer interface design, and diverse BMI applications.
Award Requirements
Students must obtain 31 credits for graduation.
(i) Compulsory Academic Integrity and Ethics (AIE) Requirement; [1 credit]
- Engineering Ethics and Academic Integrity
(ii) 1 Compulsory Subject [3 credits]
- Research Methods and Biostatistics
(iii) 4 Core Subjects from the list below [12 credits]
- Medical Artificial Intelligence and Data Analysis
- Introduction to BMI and Neuroengineering
- BMI from Brain and Muscle Signal and Image
- Brain Neuromodulation
- Advanced Applications of BMI in Healthcare and Medicine
- Advanced Applications of BMI for Automation and Control
(iv) 5 Elective Subjects (or 2 Elective Subjects + Dissertation); [15 credits]
31
To be confirmed
You must satisfy the following specific requirements of this programme:
- A Bachelor's degree in engineering, basic science, or a closely related discipline.
If you are not a native speaker of English, and your Bachelor's degree or equivalent qualification is awarded by institutions where the medium of instruction is not English, you are expected to fulfil the University’s minimum English language requirement for admission purposes. Please refer to the "Admission Requirements" section for details.
HK$9,000 per credit for local and non-local students
(Tuition fees will not be charged for the 1-credit Academic Integrity and Ethics (AIE) subject.)
Required
Required
Optional
Required
Optional
Required
- All the certificates for scholarships/awards/merits
- Other relevant documents
