P87
Master of Digital Health
數字健康碩士

Year of Entry

2027

Application Deadline

20261106T020000Z
20270430T155900Z
11/6/2026 02:00:00 4/30/2027 15:59:00 4/30/2027 15:59:00

Mode of Study

Combined †

Mode of Funding

Non-government-funded

Indicative Intake Target

50

Minimum No. of Credits Required

30

Class Schedule

Weekday evenings and Saturdays (with a weekday daytime session if necessary).

Normal Study Period

Full-time: 1 year;
Part-time/Combined mode: 2 years

Maximum Study Period

Full-time: 2.5 years;
Part-time/Combined mode: 5 years

Mode of Processing

Applications are processed on a rolling basis. Review of applications will start before the deadline and continue until all places are filled. Early applications are therefore strongly encouraged.
Programme Leader
Prof CHEN, Chia-Hung
B.S. (NTU), M.S. (Harvard), Ph.D. (Cambridge)
General Enquiries

Programme Outlines

  • Programme Aims and Objectives

  • Entrance Requirements

  • Course Description

  • Useful Links

Outline
Programme Aims and Objectives

Programme Aims

The Master of Digital Health (MDH) is designed to equip students with the essential knowledge, skills, and competencies required to navigate the rapidly evolving landscape of healthcare technology.

Programme Intended Learning Outcomes (PILOs)

  • Acquire extensive and interdisciplinary knowledge and analytical ability in the field of digital health.
  • Analyze complex biomedical data using advanced computational tools, artificial intelligence and machine learning.
  • Develop innovative health technologies integrating sensors, imaging, and bioinformatics to suit the needs of societies.
  • Understand and uphold the ethical and regulatory standards for digital health solutions.
  • Be capable of communicating effectively in digital health- related professions and industries.

 
Entrance Requirements

Applicants must satisfy the University's general entrance requirements and the following programme entrance 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.

Additional attention will be paid to students, who have little training in health-related area to ensure that they can follow the progress of the programme.

 

English Proficiency Requirements

Applicants whose entrance qualification is obtained from an institution where the medium of instruction is not English should fulfil the following minimum English proficiency requirement:

  • a score of 79 (for tests taken prior to 21 January 2026) or 4 (for tests taken from 21 January 2026 onwards) (Internet-based Test) 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 band 6 of the Chinese Mainland’s College English Test (CET-6); 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.

Course Description

Students are required to complete 30 credit units for graduation from this Master of Digital Health programme:

 

Core Courses (21 credit units)Δ

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 (9 credit units)Δ*

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

 

ΔSubject to change

*Elective courses will be offered subject to sufficient enrolment.  Courses offered by different departments might have timetable conflicts, please plan ahead for the courses to register.

 

Useful Links
† Combined mode: Local students taking programmes in combined mode can attend full-time (12-18 credit units per semester) or part-time (no more than 11 credit units per semester) study in different semesters without seeking approval from the University.For non-local students, they 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.