(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
- 4-year PhD:
- At least 5 courses, inclusive of both regular or elective courses, with at least 1 course in Foundation, 1 course in Computation, 1 course in Application, within the first year of study, and 2 courses from either one of the categories for the remaining years of study; and
- Attend at least 10 seminars in each academic year -
MPhil:
- At least 3 regular courses, with 1 course from each of the categories (1 course in Foundation, 1 course in Computation and 1 course in Application); and
- Attend at least 10 seminars organised by the Institute over the entire study period
| Courses | Category |
|---|---|
| DATA8001 High-dimensional Data Analysis | Foundation |
| DATA8002 Statistical Inference and Machine Learning for Network Data | Foundation |
| DATA8006 Advanced Data Mining | Foundation |
| DATA8007 Foundations of Sequential Decision-Making | Foundation |
| DATA8014 Principles of Deep Representation Learning | Foundation |
| DATA8015 Mathematical Foundation of Data Science | Foundation |
| DATA8003 Theoretical Foundation of Deep Learning | Computation |
| DATA8004 Optimization for Statistical Learning | Computation |
| DATA8008 Scalable Optimization Methods in Data Science | Computation |
| DATA8016 Quantitative Neuroscience and AI: Modeling, Inference, and Shared Principles | Computation |
| DATA8005 Advanced Natural Language Processing | Application |
| DATA8009 Advanced Deep Learning for Computer Vision | Application |
| DATA8010 Embodied AI: Perception, Representation and Action | Application |
| DATA8012 AI in Medicine | Application |
| DATA8013 Ethical Issues in Big Data | Application |
| DATA8017 Fundamentals of Autonomous Intelligent Systems | Application |
| DATA8018 Deep Generative Models | Application |
| DATA8019 Computer Security | Application |
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.