(A) Graduate School Courses
Requirements for students registered in or after September 2021
| Modules | Courses | 4-year PhD/ MPhil | 3-year PhD |
|---|---|---|---|
| Researcher Development Training (5 Modules) | |||
|
Module 1 |
|
Required | Optional (Strongly encouraged to enrol in this orientation module) |
|
Module 2 |
Select one of the following courses based on your research needs: | Required |
Optional |
| Module 3 Thesis Writing (3 hours) |
Select one of the following courses based on your research needs:
Note: Selected students are required to complete GRSC6027 Intensive English for Postgraduate Students prior to taking this module. Students concerned will be notified individually by the Graduate School. |
Required | Optional |
| Module 4 Responsible Conduct of Research (3 hours) |
|
Required | Required |
| Module 5 Stream-based Responsible Conduct of Research (3 hours) |
- Working with Human Participants (Humanities) - Working with Human Participants (Medicine) - Working with Animals (Medicine) - Lab Safety - Working on Big Data - Working on Texts |
Required | Required |
| Professional Development Training (1 Module) | |||
| Module 6 Transferable Skills (12 hours) |
Select one of the following courses: | Required | Optional |
Requirements for students registered before September 2021
Click here to view the Graduate School coursework requirements.
(B) Faculty/Departmental Courses
Requirements for students registered in or after February 2025
- 4-year PhD:
- 3 core courses from different areas; or
- 2 core courses from Statistics area/Foundations area and 1 core course from another area; and
- 3 elective courses from any areas; and
- At least 10 seminars per academic year offered by the School's Distinguished Lectures or the seminar series of the three departments
-
3-year PhD and MPhil:
- 2 core courses from different areas; or
- 2 core courses from the Statistics area; or
- 2 core courses from the Foundations area; and
- 1 elective course from any areas
| Courses | Area |
|---|---|
| Core Courses | |
| COMP9102 Data Management and Information Retrieval | Systems |
| COMP9501 Advanced Machine Learning | Applications |
| COMP9601 Theory of Computation and Algorithms Design | Foundations |
| COMP9602 Optimization | Foundations |
| DATA8014 Principles of Deep Representation Learning | Foundations |
| STAT6008 Advanced Statistical Inference | Statistics |
| STAT6009 Research Methods in Statistics | Statistics |
| STAT6010 Advanced Probability | Statistics |
| STAT6011 Computational Statistics and Bayesian Learning | Statistics |
| Elective Courses | |
| COMP8301 Advanced Computing Systems | Systems |
| COMP8505 Advanced Topics in Language Models | Systems |
| COMP8317 Advanced Computer Vision | Applications |
| COMP8503 Advanced Topics in Visual Analytics | Applications |
| COMP8601 Advanced Topics in Theoretical Computer Science | Foundations |
| STAT6005 Special Studies in Statistics (shell course) | Statistics |
| STAT6018 Research Frontiers in Data Science | Statistics |
| STAT6025 Special Studies in Machine Learning (shell course) | Statistics |
| Courses from the core course list above | |
Notes:
- PhD students may be allowed to replace up to 2 postgraduate elective courses with courses from the School of Computing and Data Science’s Master programme and/or postgraduate courses offered by other departments, at the rate of 2 Master programme courses (from the School) for 1 postgraduate elective course. They may also be allowed to replace 1 postgraduate course offered by other departments for 1 postgraduate elective course, subject to the approval by the School Higher Degrees Committee.
- MPhil students may be allowed to replace 1 postgraduate elective course with 2 courses from the School of Computing and Data Science’s Master programme or 1 postgraduate course offered by other departments, subject to the approval by the School Higher Degrees Committee.
- On an exceptional basis, students may be permitted to take fewer courses if they have previously completed similar courses, subject to the approval by the School Higher Degrees Committee.
Requirements for students registered between February 2017 and January 2025
- 4-year PhD: 4 courses with at least 1 core course
- MPhil: 2 courses with at least 1 core course
| Courses |
|---|
| Core Courses |
| COMP9102 Data Management and Information Retrieval |
| COMP9301 System Design and Implementation |
| COMP9501 Machine Learning |
| COMP9601 Theory of Computation and Algorithms Design |
| COMP9602 Convex Optimization |
| Elective Courses |
| COMP8101 Advanced Topics in Data Engineering |
| COMP8301 Advanced Topics in Computing Systems |
| COMP8302 Advanced Operating Systems |
| COMP8501 Advanced Topics in Computer Graphics |
| COMP8503 Advanced Topics in Visual Analytics |
| COMP8504 Geometric Modeling and Computing |
| COMP8505 Advanced Topics in Language Models |
| COMP8602 Bioinformatics Algorithms |
| COMP8603 Probabilistic Method and Randomized Algorithms |
| COMP8604 Algorithmic Game Theory |
| COMP8606 Quantum Computing: Algorithms and Implementation |
| COMP8802 Foundations on Digital Forensics and Security |
Notes:
- PhD students may be allowed to replace up to 2 postgraduate elective courses with courses from the MSc(CompSc) programme and/or postgraduate courses offered by other departments, at the rate of 2 MSc(CompSc) courses for 1 postgraduate elective course, subject to the approval.
- MPhil students may be allowed to replace 1 postgraduate elective course with 2 courses from the MSc(CompSc) programme or 1 postgraduate course offered by other departments, subject to the approval.
- On an exceptional basis, interdisciplinary research students may be allowed to take courses deviating from the above as recommended by their supervisors, subject to approval.
Requirements for students registered between February 2013 and January 2017
- 4-year PhD: 4 courses with at least 2 core courses
- MPhil: 2 courses with at least 1 core course
| Courses |
|---|
| Core Courses |
| COMP9102 Data Management and Information Retrieval |
| COMP9301 System Design and Implementation |
| COMP9501 Machine Learning |
| COMP9601 Theory of Computation and Algorithms Design |
| COMP9602 Convex Optimization |
| Elective Courses |
| COMP8101 Advanced Topics in Data Engineering |
| COMP8301 Advanced Topics in Computing Systems |
| COMP8302 Advanced Operating Systems |
| COMP8501 Advanced Topics in Computer Graphics |
| COMP8503 Advanced Topics in Visual Analytics |
| COMP8504 Geometric Modeling and Computing |
| COMP8505 Advanced Topics in Language Models |
| COMP8602 Bioinformatics Algorithms |
| COMP8603 Probabilistic Method and Randomized Algorithms |
| COMP8604 Algorithmic Game Theory |
| COMP8606 Quantum Computing: Algorithms and Implementation |
| COMP8802 Foundations on Digital Forensics and Security |
Notes:
- PhD students may be allowed to replace up to 2 postgraduate elective courses with courses from the MSc(CompSc) programme and/or postgraduate courses offered by other departments, at the rate of 2 MSc(CompSc) courses for 1 postgraduate elective course, subject to the approval.
- MPhil students may be allowed to replace 1 postgraduate elective course with 2 courses from the MSc(CompSc) programme or 1 postgraduate course offered by other departments, subject to the approval.
- On an exceptional basis, interdisciplinary research students may be allowed to take courses deviating from the above as recommended by their supervisors, subject to approval.
Coursework arrangements are subject to change during the course of study. Students are advised to consult their home Faculty/Department for the most up-to-date course information.