Year of Entry
2026Application Deadline
20250916T020000Z20260430T155900Z
Mode of Study
Combined †Mode of Funding
Non-government-fundedIndicative Intake Target
85Minimum No. of Credits Required
30Normal Study Period
1 year (full-time)2 years (part-time / combined mode)
Maximum Study Period
2.5 year (full-time)5 years (part-time / combined mode)
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 Outlines
Programme Aims and Objectives
Entrance Requirements
Hong Kong Future Talents Scholarship Scheme for Advanced Studies
Programme Content
Course Description
Useful Links
Programme Aims
- To prepare students with sound academic knowledge in One Health to identify, analyze and understand public health and health care issues, particularly those related to the control and prevention of emerging zoonotic diseases at the interface of humans, animals, and the environment and the role of ecology in infectious disease maintenance and transmission;
- To provide students with key skills to critically assess scientific literature, analyze and interpret epidemiological data to identify health determinants, infectious diseases incidents and their socio-economic impacts;
- To equip students with the necessary skills in designing and implementing public health research (e.g., study design, collection and analysis of data from different types of field studies, including molecular epidemiology), develop infectious disease predictive models and translate these findings to public health policy makers, front line workers and the public;
- To help students develop strong skills in statistical analyses for public health and animal disease data;
- To enable students to apply advanced statistical models to epidemiological data for predictions and surveillance of infectious diseases;
- To prepare students with good leadership, planning and management skills necessary to formulate evidence based effective prevention and control policies for diseases in both human and animal populations, for the betterment of public health.
Programme Intended Learning Outcomes (PILOs)
- Acquire essential concepts and knowledge of the fundamentals of disease ecology, risk factors and disease drivers at the interface between people, animals and the environment.
- Understand concepts of epidemiological investigations in real-world public health contexts, including executing molecular epidemiology studies, conducting disease surveillance, initiating outbreak investigations, and interpreting their results to guide public health policy and intervention strategies.
- Be able to apply statistical and other analytical methods in real-world scenarios to guide the epidemiology, control, and prevention of public health concerns, through designing studies, interpreting results, and developing evidence-based strategies.
- Develop and implement practical, evidence-based solutions to address both local and global transmission of infectious diseases, incorporating appropriate control and mitigation strategies in real-world public health contexts.
- Demonstrate effective communication, management skills, and collaboration in real-world public health settings, working harmoniously with individuals from diverse educational and professional backgrounds and varying levels of experience.
- Apply the One Health approach, theories, and scientific skills practically in addressing public health issues, orchestrating research, and developing evidence-based interventions in real-world contexts.
General Entrance Requirements
Applicants must satisfy the University's general entrance requirements and the following programme-specific entrance requirements:
- Possess a recognised undergraduate degree in Biological, Medicine, Veterinary, Animal, Health, Environmental Sciences, Statistics, Mathematics, Biostatistics, DataScience, Microbiology, Management, Communication, Chinese Medicine, Food Science or a related discipline;
- Preference for admission will be given to high-calibre individuals with a scientific background who have completed a holistic undergraduate education covering statistics, pharmacology, food engineering, medicine, nursing, Chinese medicine, health sciences, management, communication, computer science and food science.
English Proficiency Requirements
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 requirement^:
- a score of 79 (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; 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.
# Applicants are required to arrange with the Educational Testing Service (ETS) to send their TOEFL results directly to the University. The TOEFL institution code for CityUHK is 3401.
## Applicants are required to arrange for sending their IELTS result(s) via the IELTS Results Service e-delivery to the University. Please note that applicants with an overall band score of 6.0 will be required to pass an interview for English proficiency conducted by the concerned academic unit. Interviews for other applicants may not be required.
This programme has been selected by the University Grants Committee (UGC) for the scholarship award under the main priority area of ‘Health’. Scholarships are available to local students admitted to the programme. Nominated students will be invited to submit applications for the scholarship. For details, please visit the scholarship website.
Students are required to complete 30 credit units for graduation from this Master of Public Health (MPH) programme. MPH will be organised as an interdisciplinary programme among Department of Infectious Diseases and Public Health (PH), Department of Chemistry (CHEM), Department of Biostatistics (BIOS) and Department of Mathematics (MA).
Core Courses (18 credit units)
|
Course Code |
Course Title |
Level |
Credit Unit |
|
PH5101 |
Introduction to Health Economics and Outcomes Research |
P5 |
3 |
|
PH5105 |
Basic Biostatistics in Public Health |
P5 |
3 |
|
PH5106 |
Fundamentals of Epidemiology in Public Health |
P5 |
3 |
|
PH6201 |
Advanced Epidemiology |
P6 |
3 |
|
PH6202 |
Infectious Disease Epidemiology and Disease Control |
P6 |
3 |
|
PH6204 |
Public Health Surveillance and Risk Analysis |
P6 |
3 |
Elective Courses (12 credit units)
The Master of Public Health (MPH) programme is divided into three streams: the Research Training Stream, the Practicum Stream and the Global Stream, each of them comprising 12 credit units.
The Research Training Stream is designed for students who wish to focus on developing advanced research skills and knowledge, particularly those considering future doctoral study.
On the other hand, the Practicum Stream is geared towards students who wish to gain practical experience in the field of public health, providing opportunities for experiential learning in professional settings.
Global Stream is a newly-introduced stream. With a limited quota, the Global Stream is designed for students who seek to acquire practical experiences in the field of public health in the global context, providing opportunities for experiential learning in professional settings in overseas/international organisations. Those who wish to enrol on Global Stream might be required to attend an interview.
Students are required to select one of these streams at the beginning of their study, allowing them to tailor their MPH programme to their career goals and academic interests.
1. Research Training (RT) Stream
a) Core Course for RT Stream (9 credit units)
- Applied Public Health Projects
|
Course Code |
Course Title |
Level |
Credit Unit |
|
PH6203 |
Applied Public Health Projects |
P6 |
9 |
b) Elective Courses for RT Stream (3 credit units)
1 elective course, a total of 3 credit units, from the list below:
|
Course Code
|
Course Title |
Level |
Credit Units |
|
BIOS6900 |
Time Series Analysis |
P6 |
3 |
|
BIOS6901 |
Spatial Data Analysis |
P6 |
3 |
|
^CAI5001 |
The Principles of Digital Health |
P5 |
3 |
|
^CAI5002 |
Commercialization of Digital Health |
P5 |
3 |
|
^CAI5003 |
Clinical Research Awareness & Data Learning Environment |
P5 |
3 |
|
CHEM6128 |
Environmental Health and Risk Assessment |
P6 |
3 |
|
MA5617 |
Statistical Data Analysis |
P5 |
3 |
|
MA6633 |
Statistical Modelling for Data Mining |
P6 |
3 |
|
PH6205 |
Intermediate Level Statistics for One Health |
P6 |
3 |
|
PH6208 |
Public Health Insights: Global Perspectives from Research and Practice |
P6 |
3 |
|
PH8001 |
Computational Biology, Experimental Design and Data Science |
R8 |
3 |
|
PH8003 |
Communication Skills - Conference Organisation |
R8 |
3 |
|
^SYE6102 |
Managerial Decision-Making Systems with Artificial Intelligence |
P6 |
3 |
|
^SYE6601 |
Introduction to Artificial Intelligence: Concepts and Applications |
P6 |
3 |
|
^SYE6602 |
AI-Driven Innovation: Seminars and Projects |
P6 |
3 |
^This course is subject to approval.
2. Practicum Stream
a) Core Course for Practicum Stream (6 credit units)
- Practicum
|
Course Code |
Course Title |
Level |
Credit Unit |
|
PH6206 |
Practicum |
P6 |
6 |
b) Elective Courses for Practicum Stream (6 credit units)
2 elective courses, a total of 6 credit units, from the list below:
|
Course Code
|
Course Title |
Level |
Credit Units |
|
BIOS6900 |
Time Series Analysis |
P6 |
3 |
|
BIOS6901 |
Spatial Data Analysis |
P6 |
3 |
|
^CAI5001 |
The Principles of Digital Health |
P5 |
3 |
|
^CAI5002 |
Commercialization of Digital Health |
P5 |
3 |
|
^CAI5003 |
Clinical Research Awareness & Data Learning Environment |
P5 |
3 |
|
CHEM6128 |
Environmental Health and Risk Assessment |
P6 |
3 |
|
MA5617 |
Statistical Data Analysis |
P5 |
3 |
|
MA6633 |
Statistical Modelling for Data Mining |
P6 |
3 |
|
PH6205 |
Intermediate Level Statistics for One Health |
P6 |
3 |
|
PH6208 |
Public Health Insights: Global Perspectives from Research and Practice |
P6 |
3 |
|
PH8001 |
Computational Biology, Experimental Design and Data Science |
R8 |
3 |
|
PH8003 |
Communication Skills - Conference Organisation |
R8 |
3 |
|
^SYE6102 |
Managerial Decision-Making Systems with Artificial Intelligence |
P6 |
3 |
|
^SYE6601 |
Introduction to Artificial Intelligence: Concepts and Applications |
P6 |
3 |
|
^SYE6602 |
AI-Driven Innovation: Seminars and Projects |
P6 |
3 |
^This course is subject to approval.
3. Global Stream
a) Core Course for Global Stream (9 credit units)
- Global Scholars Training
|
Course Code |
Course Title |
Level |
Credit Units |
|
PH6207 |
Global Scholars Training |
P6 |
9 |
b) Elective Courses for Global Stream (3 credit units)
1 elective course, a total of 3 credit units, from the list below:
|
Course Code
|
Course Title |
Level |
Credit Units |
|
BIOS6900 |
Time Series Analysis |
P6 |
3 |
|
BIOS6901 |
Spatial Data Analysis |
P6 |
3 |
|
^CAI5001 |
The Principles of Digital Health |
P5 |
3 |
|
^CAI5002 |
Commercialization of Digital Health |
P5 |
3 |
|
^CAI5003 |
Clinical Research Awareness & Data Learning Environment |
P5 |
3 |
|
CHEM6128 |
Environmental Health and Risk Assessment |
P6 |
3 |
|
MA5617 |
Statistical Data Analysis |
P5 |
3 |
|
MA6633 |
Statistical Modelling for Data Mining |
P6 |
3 |
|
PH6205 |
Intermediate Level Statistics for One Health |
P6 |
3 |
|
PH6208 |
Public Health Insights: Global Perspectives from Research and Practice |
P6 |
3 |
|
PH8001 |
Computational Biology, Experimental Design and Data Science |
R8 |
3 |
|
PH8003 |
Communication Skills - Conference Organisation |
R8 |
3 |
|
^SYE6102 |
Managerial Decision-Making Systems with Artificial Intelligence |
P6 |
3 |
|
^SYE6601 |
Introduction to Artificial Intelligence: Concepts and Applications |
P6 |
3 |
|
^SYE6602 |
AI-Driven Innovation: Seminars and Projects |
P6 |
3 |
^This course is subject to approval.