Extensive and interdisciplinary knowledge and analytical ability in the field of digital health.
Programme code P87
Master of Digital Health
Equipping students with the fundamental theories, professional knowledge and practical skills to apply emerging healthcare technologies, data analytics and innovative solutions.
Offered byCollege of Biomedicine
Requirement30 credit units
MediumEnglish
Normal duration1 year full-time
2 years part-time
2 years part-time
Programme overview
Health expertise meets emerging technology
Master of Digital Health (MDH) aims to equip students with the fundamental theories, professional knowledge, and practical skills related to digital health. The programme enhances students' abilities to apply emerging healthcare technologies, data analytics, and innovative solutions to address the rapidly evolving needs of the healthcare sector, while preparing them for professional careers and industry opportunities in the field of digital health.
Complex biomedical data using advanced computational tools, artificial intelligence and machine learning.
Innovative health technologies integrating sensors, imaging, and bioinformatics to suit the needs of societies.
The ethical and regulatory standards for digital health solutions.
Effectively in digital health-related professions and industries.
At a Glance
Programme Details
Award Title
Master of Digital Health
Mode of Study
Combined mode*
Normal Study Period
- Full-time: 1 year (max. 2.5 years)
- Part-time: 2 years (max. 5 years)
Class Schedule
Weekday evenings and Saturdays (plus weekday daytime session if necessary)
Programme Requirements
Minimum 30 Credit Units
Medium of Instruction & Assessment
English
Tuition Fee
Please refer to SGS Website
* Combined mode: Local students taking programmes in the combined mode can study full-time (12-18 credit units per semester) or part-time (no more than 11 credit units per semester) in different semesters without seeking approval from the University. Non-local students will be admitted to these programmes for either full-time or part-time studies. Non-local students must maintain the required credit load for their full-time or part-time studies and any changes will require approval from the University.
Beyond graduation
Career prospects and further studies
Graduates will be well positioned to pursue careers in the rapidly expanding, interdisciplinary field of healthcare technology and innovation. With growing demand for professionals who can bridge healthcare, data science, technology, and management, graduates will enjoy diverse career pathways.
Students who are interested in advancing their academic and research careers are encouraged to pursue PhD studies.
Programme curriculum
A focused core with room to specialise
Complete 21 credit units of core courses and select 9 credit units from the elective course list.
21Core credit units
9Elective credit units
Core Courses
21 credit units
| Course code | Course title | Credit units |
|---|---|---|
| CBM5001 | The Principles of Digital Health | 3 |
| CBM5002 | Commercialization of Digital Health | 3 |
| CBM5003 | Clinical Research Awareness & Data Learning Environment | 6 |
| CBM5004 | Project Studies | 6 |
| CBM5005 | Artificial Intelligence in Digital Health | 3 |
Electives*
Select 9 credit units
| Course code | Course title | Credit units |
|---|---|---|
| BME5110 | Biomedical Engineering Design | 3 |
| BME6005 | Micro Systems Technology | 3 |
| BME6115 | Biorobotics | 3 |
| BME6117 | Biomedical Safety and Risk Assessment | 3 |
| BME6118 | Biomedical Imaging and Biophotonics | 3 |
| BME6135 | Engineering Principles for Drug Delivery | 3 |
| BME6136 | Advanced Biomaterials for Healthcare and Biomedical Applications | 3 |
| BME6138 | Robotics in Minimally Invasive Healthcare | 3 |
| BMS5001 | Common Diseases and Genomic Medicine | 3 |
| BMS5008 | Fundamental and Advanced Multi-omics Research | 3 |
| BMS5010 | Artificial Intelligence in Health Science Research and Management | 3 |
| BMS5013 | Storytelling of Health Science Data with Analysis and Visualization | 3 |
| CAI6002 | Venture Creation Seminar | 3 |
| DSC6018 | Health Data Analytics | 3 |
| EE6621 | Computational Physiology and Neural Systems | 3 |
| IS5940 | Innovation and Technology Entrepreneurship | 3 |
| MNE6127 | Microfluidics: From Fundamentals to Applications | 3 |
| MS5411 | Healthcare Management | 3 |
| MS6211 | Statistical Modelling in Risk Management | 3 |
| NS5007 | Human and Artificial Intelligence | 3 |
| NS5009 | Ethical Application of Artificial Intelligence in Biological Sciences and Healthcare | 3 |
| PH5101 | Introduction to Health Economics and Outcomes Research | 3 |
| PH6204 | Public Health Surveillance and Risk Analysis | 3 |
| SYE6102 | Managerial Decision-making Systems with Artificial Intelligence | 3 |
* Remarks
- Elective course offerings are subject to change from year to year.
- The course list will be updated from time to time.
- Courses offered by different departments might have timetable conflicts, please plan ahead for the courses to register.
Application & admission
Entrance Requirements
Applicants must satisfy the University's general entrance requirements and the programme-specific entrance requirements below.
Programme-specific Requirements
- Applicants should possess a recognised undergraduate degree in Biology/Computer Science/Medicine/Veterinary Sciences/Bioengineering/Data Science/Public Health or a related discipline.
- Preference for admission will be given to individuals who have completed a holistic undergraduate education with knowledge covering statistics, cell biology, biochemistry, physiology, pathology, infectious diseases, pharmacology, food engineering, patient care, medicine, animal science, and/or business.
English Proficiency Requirement
Applicants whose entrance qualification is obtained from an institution where the medium of instruction is NOT English should also fulfill the following minimum English proficiency requirements:
- A score of 79 (for tests taken prior to 21 January 2026) or 4 (for tests taken from 21 January 2026 onwards) in the Test of English as a Foreign Language (TOEFL)@ #; or
- An overall band score of 6.0 in International English Language Testing System (IELTS)@#; or
- A score of 450 in the College English Test (CET-6) of Chinese mainland; or
- Other equivalent qualifications
@ TOEFL and IELTS scores are considered valid for two years. Applicants are required to provide their English test results obtained within the two years preceding the start of the University's application period. 'TOEFL iBT Home Edition', 'TOEFL MyBest Score', 'IELTS Indicator', 'IELTS One Skill Retake' and 'IELTS Online' are not acceptable. All TOEFL results must be sent directly by the Educational Testing Service (ETS) using CityUHK's institution code 3401, while IELTS results must be sent via the IELTS Results Service e-delivery to 'City University of Hong Kong - Graduate School'.
# Applicants with an IELTS overall band score of 6.0 or a TOEFL overall score of 4 will be required to pass an interview for English proficiency conducted by the concerned academic unit. Applicants with a comparable overall score of 79 or above shown on the TOEFL report may be exempt from the interview requirement. Interviews for other applicants may not be required
Current students
Useful Information
Programme resources will be published when available.
Suggested Study Plans
To be announcedStudent Handbooks
To be announcedContact us
Questions about the programme?
Please contact the Programme Team, Admissions Office or Global Engagement Office.
- MDH Enquiries
- Programme Team
CBM.MDH@cityu.edu.hk - Application Enquiries
- Admissions Office (Master's Programmes)
tpadmit@cityu.edu.hk - Visa Matters
- Global Engagement Office (GEO)
geoins@cityu.edu.hk