Short Courses in Epidemiology and Biostatistics

The Jockey Club School of Public Health and Primary Care offer courses and degrees across all areas of public health practice.  We offer all students grounding in professionally recognized competencies and in areas increasingly recognized as core to public health.  We are also offer courses in areas of special interest – including epidemiology, environmental health, health promotion, health management.  

Short courses are available either as stand alone opportunities or as a component part of certificate, diploma or degree programmes within the School. They aim to provide continuing education opportunities for those interested in health and healthcare as well as provide training including public health perspectives and skills necessary to assume effective leadership in public health practice, reflecting the three domains of health improvement, health protection and health service quality.


English will be used as the medium for instruction.

Admission Requirements
A bachelor’s degree preferably in medicine or an approved related field. For non-professional degree holders, honours not lower than second class are required.

Required Documents
Photocopy of identity card, certificates and transcripts of academic/professional qualifications (e.g. diploma/ certificates or other qualifications). Original documents must NOT be sent.


Application Deadline
This application form should be completed and returned at least TWO weeks before the courses commence.

How to apply
he completed application form and supporting documents should be sent to the following address with an application fee of HK$100.00 (A crossed personal cheque or bankdraft made payable to: “The Chinese University of Hong Kong”).


Course Administrator
MSc in Epidemiology & Biostatistics Programme
2/F, School of Public Health,
Prince of Wales Hospital, Shatin, N.T., HONG KONG
“Short Course Application”

Apply Now for Year 2021 - 2022

Tuition Fee Payment
Students are required to pay full tuition fee before the course commences. The tuition fee, once paid, is non-refundable or non-transferable. Payment(s) can be made by a crossed cheque or bankdraft, payable to “The Chinese University of Hong Kong”

Application Fee: HK$100.00
Course Fee: In modular basis

The Programme reserves the right to cancel the course if the number of registered students is insufficient or for other unanticipated reasons.

Course Timetable

Term I (September – December 2021)

BIOS5001   Introduction to Biostatistics

This course introduces basic statistical concepts and methods. The emphasis of the course is on practical applications: choosing the correct method for particular datasets and correct interpretation of the analysis results. Examples from different disciplines of public health including chronic and infectious disease epidemiology, environmental health, and health policy will be used to illustrate the use of biostatistical methods in answering important public health questions. Read more

BIOS5005   Clinical Trials

The objective of this course is to provide students with a theoretical and practical knowledge of the issues involved in the design, conduct, analysis and interpretation of randomized clinical trials. We will discuss the basic principle of randomization and its importance, proper randomization and blinding procedures, choice of control arm, the importance of clear definition of endpoints, methods to calculate sample size, other statistical considerations and ethical issues in clinical trials. Attention will be given to the problems of conducting clinical trials in both single center and multi-center, and covers trials initiated by industry as well as trials in academic setting. Students will be trained to develop skills to properly design clinical trial, critically analyze and carry out research and to communicate effectively. Read more

EPID5001   Introduction to Epidemiology

This course will introduce basic epidemiology to students including introduction to epidemiology, applied health research methods, designing and conducting epidemiological studies (descriptive, case-control, cohort, systematic reviews). Read more

Term II (January – March 2022)

BIOS5002 Linear Models

This course will provide a foundation for the practical analysis of data for which the primary outcome is a continuous variable. The course will begin with an introduction to ‘real-world’ data analysis with a motivating example looking at predictors of infant birthweight in Hong Kong. Methods for multivariate analysis of predictors of continuous outcomes including one-way and two-way ANOVA and multiple linear regression will then be discussed in detail with an emphasis on correct use of these methods in practice. Read more

BIOS5003 Categorical and Survival Data Analysis

This course will provide a foundation for the practical analyses of categorical and time to event (survival) data. The course will cover the use of logistic regression models for use with binary outcomes and Cox proportional hazards regression models for time to event outcomes. Practical application of these models will be emphasized and model building and the checking of model assumptions will be covered in detail.

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BIOS5007 Pharmaceutical Statistics Computing in SAS

The objective of this course is to familiarize students with the SAS software for pharmaceutical application. The course starts with the introduction of basic SAS skills followed by using SAS to draw tables, figures, and listings (TFL) and to analyze medical data. Practical scenarios will be given to students to understand the needs of SAS in pharmaceutical industry.

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EPID5002 Epidemiology II

This is a follow up of course Introduction to Epidemiology (EPID5001) to provide further concepts and application of epidemiology. Topics will include further concepts in epidemiological study designs and application of concepts to the planning and design of epidemiological studies.

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EPID6002 Selected Topics in Epidemiology

The course involves a series of guest lecture seminars in which methodological aspects of various areas of epidemiological research are discussed and elaborated.

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Term III (April - June 2022)

BIOS6001   Topics in Linear Models

This course will cover advanced statistical modelling techniques for use with complex datasets. Topics will include Poisson and Negative Binomial regression for count outcomes, repeated measures ANOVA, GEE models and multilevel models for longitudinal data and multilevel models for clustered data.

Coming soon

BIOS6005   Pharmaceutical Bioinformatics

The course will provide a broad overview and introduction to bioinformatics and its applications in pharmaceutical industry. Topics will cover (1) basic bioinformatics methods: hierarchical clustering, lasso, random forest, LDA, PCA, boosting, bootstrapping, etc. (2) data sequencing and management: microarray data, GWAS data, the raw data treatment and analysis method, batch effect and normalization, parallel programming in R; (3) phylogenic analysis; (4) Chemobioinformatics modeling, 3D structure, chemical - protein relation leading to drug discovery.

Coming soon

BIOS6006    Artificial Intelligence Methods for Medical Research and Pharmaceutical Science

This course is an advanced module for students who are interested to understand how various artificial intelligence approaches including machine-learning and deep-learning can be used on top of traditional biostatistics methods. It emphasizes on practical knowledge and skills needed for doing this kind of research leveraging on our experience and proprietary development of the Automatic Retinal Image Analysis (ARIA) and the Bioinformatics and Genomic research with significant machine-learning and deep-learning components. On top of sharing of the real life experience other important research areas in medical and pharmaceutical science would also be discussed.

Coming soon

EPID5003   EpidemiologyIII

This module prepares students on collection, management, analysis and interpretation of epidemiological data with consideration for analysis of special data such as age-period-cohort effect.

Coming soon

EPID6001  Appraisal of the Methods of Epidemiological Studies

The course will include a series of tutorials for appraising the methods of commonly used epidemiological study designs. In each tutorial, a published study of a specific design (e.g., randomized controlled trial) will be selected and presented and questions regarding the methods of the study will be asked. Students need to carefully read and discuss the questions beforehand and further discuss with the tutor and peers in the class.

Coming soon

EPID6003   Nutritional Epidemiology

In this course, you will learn about the methods used to assess dietary intakes and how to overcome limitations in assessing such a complex ‘exposure’. Nutrient intakes and dietary patterns in different population groups will be illustrated and key diet-disease associations will be presented. Finally, some of the challenges in interpreting nutritional epidemiology evidence and practical issues in communicating findings will be covered.

Coming soon

BIOS5004  ICH - GCP Standard of Clinical Research

The objective of this course is to provide background of regulation of drugs, devices and biological development. We will apply the principles of ICH-Good Clinical Practice in clinical research and discuss the role and responsibilities of key parties described in the document. We will describe the requirements of essential documentation and adverse event reporting. Scenarios will be given to the students to strengthen their understanding of practical application of ICH-GCP to the clinical trial process. (Pre-requisite or recommended background: 1. Familiar with Declaration of Helsinki; 2. Clinical Research Personnel) Coming Soon

EPID6005  Digital Epidemiology

This advanced module introduces the concept of digital epidemiology with new forms of health data and real examples for disease management. The traditional epidemiology consists of studying various risk factors of the general population to study incidence and prevalence. The field of digital epidemiology is new, but has been growing rapidly with the increasing amounts of data generated on the internet, wearable devices, and mobile APPs. Students will explore the feasibility of applications through different real digital examples, including the consideration with data privacy and protection. Coming soon