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 Biostatistics (BIOS), Department of Chemistry (CHEM), and Department of Mathematics (MA).
Programme Structure
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 |
| CHEM6128 | Environmental Health and Risk Assessment | P6 | 3 |
Elective Courses (12 credit units)
The Master of Public Health (MPH) programme is divided into two streams: the Research Training Stream and the Practicum 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. 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)
| 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 Unit |
| MA5617 | Statistical Data Analysis | P5 | 3 |
| MA6633 | Statistical Modelling for Data Mining | P6 | 3 |
| BIOS6900 | Time Series Analysis | P6 | 3 |
| BIOS6901 | Spatial Data Analysis | P6 | 3 |
| PH6204 | Public Health Surveillance | P6 | 3 |
| PH6205 | Intermediate Level Statistics for One Health | P6 | 3 |
| PH8001 | Computational Biology, Experimental Design and Data Science | R8 | 3 |
| PH8003 | Communication Skills – Conference Organisation | R8 | 3 |
2. Practicum Stream
a) Core Course for Practicum Stream (6 credit units)
| 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 Unit |
| MA5617 | Statistical Data Analysis | P5 | 3 |
| MA6633 | Statistical Modelling for Data Mining | P6 | 3 |
| BIOS6900 | Time Series Analysis | P6 | 3 |
| BIOS6901 | Spatial Data Analysis | P6 | 3 |
| PH6204 | Public Health Surveillance | P6 | 3 |
| PH6205 | Intermediate Level Statistics for One Health | P6 | 3 |
| PH8001 | Computational Biology, Experimental Design and Data Science | R8 | 3 |
| PH8003 | Communication Skills – Conference Organisation | R8 | 3 |
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Mode of Attendance & Study Period
Combined mode*, Self-financing
| Full-time Mode | Part-time Mode | |
|---|---|---|
| Normal Study Period | 1 year | 2 years |
| Maximum Study Period | 2.5 years | 5 years |
* 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.
Medium of Instruction and Assessment
English