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Genomics and Precision Medicine Track with Specialisation in
Genomics and Bioinformatics
The Specialisation in Genomics and Bioinformatics is designed to equip students with comprehensive knowledge and practical skills in genetics, genomics, and bioinformatics, with a strong emphasis on their applications in biomedical research and healthcare. The programme provides an in-depth exploration of genomics and other omics data analysis, preparing graduates for the future of medicine, where genome sequencing and molecular diagnostics will be integral to healthcare.
Highlights
- Comprehensive training in genetics, genomics, and bioinformatics
- Hands-on experience with bioinformatics tools and data analysis
- Emphasis on applications in research, clinical practice, and industry
- Integration of omics technologies and big data analytics
Target Students
- Medical professionals seeking training in precision and genomic medicine
- Students in biomedicine-related fields aiming to develop skills in modern biomedical research and big data analysis
- Students with background in computation or statistics but interested in applying their expertise to biomedical research (foundational biology knowledge required)
Curriculum
Total: 69 Credits
Core Course
(18 credits)
Specialised Course
(24 credits)
Capstone Experience
(27 credits)
The courses listed below are offered subject to availability and minimum student number.
Courses marked with an asterisk “*” are compulsory.
Core Courses (18 credits required)
Course Name | Credits | |
MSPH7901 | Introduction to Biostatistics | 6 |
MSPH7902 | Introduction to Epidemiology | 6 |
PAED7901 | Principles to Genetic Counselling | 6 |
PAED7902 | Introduction to Genomic Medicine and Precision Health* | 6 |
PATH7904 | Fundamentals of Common Human Diseases | 6 |
PATH7905 | Recent Advances in Cancer Biology | 6 |
MSBS7901 | Molecular Biology of the Gene and Diseases | 6 |
Specialised Courses (24 credits required)
Course Code | Course Name | Credits |
MSBS7101 | Essential Skills in High-throughput Sequencing Data Analysis* | 6 |
MSBS7102 | 6 | |
PAED7101 | Molecular Diagnosis of Mendelian Diseases by NGS Technology* | 3 |
PAED7102 | Genetic Studies of Complex Diseases* | 3 |
PAED7103 | Cancer Genomics and Precision Treatment* | 3 |
PAED7104 | Scientific Methods, Experimental Design, and Data Interpretation in Genetics and Genomics* | 3 |
Capstone Experience
Course Code | Course Name | Credits |
PAED7000 | Capstone: Genomics and Bioinformatics* | 27 |
MMSC6001 | Dissertation Writing* | N/A |
MMSC6003 | Research Ethics* | N/A |
Students will undertake a thesis project, selecting one topic from the following areas:
- Genomics Research
- Medical Genetics
- Cancer Genomics
- Diagnostic Genomics
- Public Health Genomics
The project involves focused study, literature review, data analysis, and presentation, with close supervision and mentorship from faculty.
Admission advisor
Professor Wanling Yang
Professor, Department of Paediatrics and Adolescent Medicine, School of Clinical Medicine, LKS Faculty of Medicine
Email: yangwl@hku.hk
Professor Wanling Yang is a faculty member in the Department of Paediatrics and Adolescent Medicine at The University of Hong Kong. A medical graduate from China, he earned his Ph.D. from the University of Minnesota and completed postdoctoral training at the Medical University of South Carolina before joining HKU in 2006.
Professor Yang’s research focuses on genetic factors in systemic lupus erythematosus (SLE) through genome-wide association studies, as well as the development of molecular diagnostics for Mendelian diseases using next-generation sequencing. Leading a multidisciplinary team, his lab integrates omics data analysis and bioinformatics to bridge the gap between big data and biomedical applications.