Sept 2027 Entry
1 year (Full-time)
3 years (Part-time)
31
The programme has been selected by the University Grants Committee (UGC) for the Hong Kong Future Talents Scholarship Scheme for Advanced Studies. Local students admitted to this programme can apply for the scholarship, please click here for details.
Early Round: 2026-10-20
Main Round: 2027-02-25
Early Round: 2026-10-20
Main Round: 2027-02-25
What's New
- Taught Postgraduate
- Undergraduate
- Undergraduate
Programme Aims
The overall aim of the programme is to offer an opportunity for professionals in healthcare and related disciplines to develop the necessary knowledge, understanding and competencies needed to function more effectively and to master the advanced use of information technology skills in healthcare settings.
Characteristics
This programme is the first of its kind in Hong Kong, and it aims to equip healthcare professionals and graduates from health-related or information technology- or engineering-related backgrounds with advanced information technology skills for use in healthcare settings. The course content addresses the needs of healthcare providers and allows for introduction, re-orientation and/or conversion to a field that is directly relevant to the student’s place of employment.
Programme Structure
Students must complete 4 Compulsory Subjects, 2 Core Subjects and 2 Elective Subjects plus a Dissertation (alternatively, any 3 Core/Elective Subjects can replace the Dissertation).
Core Areas of Study
Compulsory Subjects
- Electronic Patient Records
- Information Technology in Healthcare
- Professional Development in Health Informatics
- Academic Integrity and Ethics (Health and Social Sciences)*
*There is no tuition charge for the 1-credit AIE subject.
Core Subjects
- Artificial Intelligence Concepts
- AI in Healthcare: Application and Innovation
- Business Analytics
- Concepts and Technological Applications of Smart Hospitals
- Digital Imaging & PACS
- Epidemiology
- Knowledge Management for Clinical Applications
- Machine Learning & Data Analytics
- Management Information Systems
- Medical Artificial Intelligence and Data Analytics
- Project Management
- Software Engineering and Development
- Technology Innovation & Management
Elective Subjects
- Advanced Statistics in Health Care Research
- Advanced Technology & Clinical Application in Nuclear Medicine Imaging
- Big Data Computing
- Bioinformatics in Health Sciences
- Data Structures & Database Systems
- Digital Design and Manufacturing for Biomedical Engineering
- Ethics & Law in Clinical Practice
- Health & Social Policy Analysis
- Health Care Ethics
- Internet Computing & Applications
- Issues in Health Sociology
- Medical Imaging Physics
- Modern Rehabilitation Engineering and Robotics
- Quality Management of Health Care Services
- Radiation Protection and Radiation Safety
- Radiation Therapy Physics
- Research Methods & Biostatistics
- Research Methods & Data Analysis
- Virtual Reality in Healthcare
- Wearable Technology for Digital Health
Dissertation
-
Dissertation
31
Prof. Harry Qin
BSc, MPhil, PhD
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A Bachelor’s degree in a health-related discipline, information technology, engineering or applied sciences, or the equivalent from a recognised university and, preferably, relevant post-qualification experience in health-related services or industries.
If you are not a native speaker of English, and your Bachelor’s degree or equivalent qualification is awarded by institutions where the medium of instruction is not English, you are expected to fulfil the University’s minimum English language requirement for admission purposes. Please refer to the “Admission Requirements” section for details.
For academic matters, please contact:
Prof. Harry Qin (tel: (852) 2766 6424; email: harry.qin@polyu.edu.hk).
For general admission matters, please contact:
Ms Kendy Wong (tel: (852) 2766 4684; email: kendy.wong@polyu.edu.hk).
Please click here to download.
HK$7,900 per credit for local and non-local students
The programme combines the strength of healthcare and IT, making it ideal for professionals interested in this rapidly growing interdisciplinary field. The programme begins with introductory courses that are accessible for students from all backgrounds before scaling up to advanced topics such as AI, medical physics and PACS. Supported by a broad coalition of departments, including management, health and computer science, students can choose from a wide range of courses.
The programme prepared us for the real-world environment through its experienced teaching team, diverse classmates and strong industry connections. Many lecturers are industry veterans with years of clinical experience. Classmates were from a wide range of backgrounds, such as nursing, medical imaging, biotech and computer science. Discussing case studies with them broadened my perspective and provided insights beyond textbooks.
A highlight of the programme was the site visits to local hospitals. I particularly remember the visit to Tin Shui Wai Hospital, where a nurse showed us how they integrate “smart hospital” concepts into their workflow and demonstrated the various robots used in practice.
Hong Kong is well-positioned as a hub for health innovation, and this programme is the ideal gateway to join this community.
Copies of transcripts and graduation certificates are required.
