Master of Science in Medical Data Science
Entrance Year Sept 2025
Programme Code 55005
Stream Code
MFD (Full-time)
MPD (Part-time)
Mode of Study Mixed Mode
Normal Duration
1.5 years (Full-time)
3 years (Part-time)
Fund Type Self-Financed
Credits Required for Graduation
31
Initial Registration Credits
For local students
6 (Full-time)
3 (Part-time)
For non-local students
6 (Full-time)/ (Part-time)
Local Application Deadline 30 Apr 2025
Non-Local Application Deadline 30 Apr 2025
Tuition Fees
HK$7,200 per credit for local and non-local students
Programme Leader(s)
Programme Leader
Prof. Zhang Weixiong
PhD
Hong Kong Global STEM Professor
Deputy Programme Leader
Dr Li Hoi Yee, Gloria
BSc (Bioinformatics), MPhil, PhD
Remarks
This programme is offered within the Postgraduate Scheme in Health Technology.
We have a limited quota for admissions. Early applications are strongly encouraged.
Aims and Characteristics
Programme Aims
This programme is offered within the Postgraduate Scheme in Health Technology, which aims to provide professionals in medical imaging, radiotherapy, medical laboratory science, health technology and others interested in health technology, with an opportunity to develop advanced levels of knowledge and skills in information technology and medical science.
A. Advancement in Knowledge and Skills
To advance students’ specialisation in their respective professional disciplines to enhance their career paths
To broaden students’ exposure to health science and technology, enabling them to cope with the ever-changing demands of work
To provide a laboratory environment for testing problems encountered at work
Students will develop intellectually, professionally and personally while improving their knowledge and skills in medical data science. The specific aims of this award are as follows.
To introduce students to different aspects of medical data science, including bioinformatics, genetics and genomics, medical imaging etc.
To broaden and deepen students’ knowledge and skills in selected areas of medical data science
To develop in students an integrative and collaborative team approach to handling complicated medical and clinical data
To develop students’ skills in communication, critical analysis and problem solving
B. Professional Development
To develop students’ ability to perform critical analysis and evaluation in their professional practices
To cultivate within healthcare professionals the qualities and attributes that are expected of them
To acquire a higher level of awareness and reflection within the profession and the healthcare industry to improve the quality of healthcare services
To develop students’ ability to assume a managerial or scientific level of practice
C. Evidence-based Practice
To equip students with the research skills necessary to perform evidence-based practice in the delivery of healthcare services
D. Personal Development
- To provide channels for practising professionals to continuously develop themselves while at work
- To allow graduates to develop themselves further after graduation
Characteristics
The MScMDS focuses on developing skills for
formulating biological and medical problems into computational problems;
integrating multimodal omics data (e.g., sequence, image and text) from diverse sources; and
developing efficient data analytic systems for medical applications such as modelling aetiology, predicting disease susceptibility and suggesting therapeutic strategies.
With the rapid advancements in AI, genomics and biomedical fields, young talents with a solid background in medical data analytics are in high demand.
Large quantities of clinical and medical data are now collected in clinical settings and need to be analysed to improve healthcare services. However, the lack of capable personnel is a significant obstacle to healthcare advances using new technologies. MScMDS will fill this immense void in the healthcare sector.
