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Entrance Year Sept 2024

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


Initial Registration Credits

For local students
6 (Full-time)
3 (Part-time)
For non-local students
6 (Full-time)

Local Application Deadline 30 Apr 2024

Non-Local Application Deadline 30 Apr 2024

Tuition Fees

HK$7,000 per credit for local and non-local students

Programme Leaders

Programme Leader   
Prof. Zhang Weixiong   
Hong Kong Global STEM Professor


Deputy Programme Leader   
Dr Li Hoi Yee, Gloria 
BSc (Bioinformatics), MPhil, PhD


  • This programme is offered within the Postgraduate Scheme in Health Technology.

  • We have a limited quota for admissions. Early applications are strongly encouraged.

  • This programme is offered subject to approval.

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 



The MScMDS focuses on developing skills for

  1. formulating biological and medical problems into computational problems;

  2. integrating multimodal omics data (e.g., sequence, image and text) from diverse sources; and

  3. 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.

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