BSc (Hons) in Biomedical Engineering with Secondary Major in Artificial Intelligence and Data Analytics
| Programme Code | : | 47401-XAI |
| Credit Required for Graduation | : | Minimum 141 credits (132 academic credits + 9 training credits) for the 2025 cohort and onwards |
| Professional Recognition | : | Yes |
| Programme Leader | : | Dr Hin-chung LAU |
| Enquiries | : | BME General Office (Room ST415)
|
Programme Aims & Characteristics
Biomedical engineering is recognised around the world as one of the fastest growing areas of innovation. It covers a wide spectrum of applications, such as devices used by health professionals in their diagnostic, therapeutic and rehabilitative practices; implants that are placed in patients for their health maintenance; prostheses, orthoses and assistive devices that are used by people with special needs to facilitate their daily activities; and healthcare products and exercise equipment for general health promotion.
This developing global field requires professionals who understand both the health issues that motivate these technologies and the engineering solutions that they offer. It needs individuals with a solid foundation in both health sciences and engineering technologies.
Our BSc (Hons) in Biomedical Engineering curriculum prepares students for such a challenging career. They have opportunities to take subjects in both life sciences and engineering and to integrate these concepts into interdisciplinary applications to improve human health.
This Secondary Major in AIDA programme aims to equip students with the knowledge and skills to:
- Understand the fundamentals of AIDA, and have the ability to apply them;
- Design AIDA systems, components and processes to meet given specifications and constraints;
- Identify, formulate and solve problems relevant to AIDA;
- Use modern IT tools appropriate to AIDA practice;
- Know the contemporary issues, and understand the impact of AIDA solutions in a global and societal context
Professional Recognition
BSc (Hons) in Biomedical Engineering with a Secondary Major in Artificial Intelligence and Data Analytics (AIDA) programme has been granted full accreditation by the Hong Kong Institution of Engineers (HKIE).
To be eligible for a Secondary Major, you must have a cumulative GPA of 2.70 or above at the time of application for Secondary Major enrolment.
The Secondary Major application period normally begins after the announcement of overall results for Semester Two of Year One. Your CGPA at the end of Semester Two of Year One will be used to determine your eligibility. If you are interested in pursuing a Secondary Major, please submit your application via eStudent > Application Forms > (AR164) Application for Major/Secondary Major/Double Major during the designated application period.
The curriculum structure of the Secondary Major in Artificial Intelligence and Data Analytics (AIDA) is as follows:
| Compulsory Subjects | Credits |
|---|---|
Mathematics I for AIDA
|
3 |
Mathematics II for AIDA
|
3 |
Programming I: Programming Fundamentals
|
3 |
Programming II: Data Structures and Algorithms
|
3 |
| Fundamentals of Data Analytics | 3 |
| Machine Learning | 3 |
Artificial Intelligence
|
3 |
Major-AIDA Bridging Subjects
|
3 |
Integrated Capstone Project
|
6 |
| Elective subjects | 6 |
| Total | 36 |
(Credit Requirements: 36 credits including at least 50% of the subjects should be at Level 3 or above.)
For further details of the programme requirements of the Secondary Major in Artificial Intelligence and Data Analytics (AIDA), please refer to the PRD.
Credit requirement for the graduation of BSc (Hons) in Biomedical Engineering with a Secondary Major in Artificial Intelligence and Data Analytics (AIDA):
| Requirements | Credits |
|---|---|
| Major Requirements | 78 academic credits |
| Free Elective Requirements | 6 academic credits |
| General University Requirements | 27 academic credits |
| IC Training Requirements | 5 training credits |
| WIE Requirements | 4 training credits |
| Secondary Major Requirements | 36 academic credits (including 12 credits for double-counted (i.e., AMA1110, ENG2002, BME44146), and 3 credits of double-fulfilment (i.e., AMA2511 and AMA2512)) |
| Healthy Lifestyle | Non-credit-bearing |
| Credit requirement for graduation | Minimum 141 credits (132 academic credits + 9 training credits) |
The suggested study pattern of the Secondary Major in Artificial Intelligence and Data Analytics (AIDA) is as follows:
| Suggested Semester |
Subject | Credits | Compulsory/ Elective |
|---|---|---|---|
| Year 1 | |||
| 1 | Mathematics I for AIDA
|
3 | Compulsory |
| 2 | Programming I: Programming Fundamentals
|
3 | Compulsory |
| Year 2 | |||
| 1 | Programming II: Data Structures and Algorithms | 3 | Compulsory |
| 1 | Mathematics II for AIDA
|
3 | Compulsory |
| 2 | Mathematics II for AIDA
|
3 | Compulsory |
| Year 3 | |||
| 1 | Artificial Intelligence | 3 | Compulsory |
| 1 | Major-AIDA Bridging Subject
|
3 | Compulsory |
| 2 | Fundamentals of Data Analytics | 3 | Compulsory |
| 2 | Machine Learning | 3 | Compulsory |
| 2 | Integrated Capstone Project
|
1 | Compulsory |
| Year 4 | |||
| 1&2 | Integrated Capstone Project
|
5 | Compulsory |
| 1 | AIDA Elective I | 3 | Elective |
| 2 | AIDA Elective II | 3 | Elective |
| Year 1 to 4 | Total | 36 | |
