MSc in Mathematics for Artificial Intelligence Technology
Students studying for MSc* award must complete:
Option 1: 6 compulsory subjects (18 credits), 4 elective subjects (12 credits) and 1 Academic Integrity and Ethics subject (1 credit); OR
Option 2: 6 compulsory subjects (18 credits), 1 elective subject (3 credits), a dissertation (9 credits) and 1 Academic Integrity and Ethics subject (1 credit)
Students who opted for the dissertation option must have completed 6 compulsory subjects with good academic performance. Typically, only students who have completed 6 compulsory subjects (18 credits) and 1 Academic Integrity and Ethics subject (1 credit), with a GPA of 3.0 or above by the end of Semester 2 will be considered for Option 2.
*Students who do not complete the programme but have passed 6 compulsory subjects (18 credits), 1 elective (3 credits) and 1 Academic Integrity and Ethics subject (1 credit) will be awarded a Postgraduate Diploma.
Subject Code |
Subject Name |
|---|---|
| AMA564 | Deep Learning (revamped) |
| AMA574 | Generative AI and Foundation Models* |
| AMA577 | Theoretical Aspects of Reinforcement Learning* |
| AMA578 | Emerging Topics in Mathematics and AI* |
| DSAI5104 | Optimization for Machine Learning# |
| DSAI5105 | Hands-on AI for Science and Technology* |
*New subjects pending University’s approval.
#New subjects under planning.
| Subject Code | Subject Name |
|---|---|
| AMA524 | Scientific Computing |
| AMA528 | Probability and Stochastic Models |
| AMA567 | Quantum Computing for Data Science |
| AMA569 | Stochastic Models for Carbon Pricing and Trading |
| AMA571 | Financial Technology |
| AMA576 | Advanced Topics in Algorithmic Trading |
| AMA579 | Learning Theory for AI* |
| AMA592 | Dissertation (9 credits) |
| BME5150 | Medical Artificial Intelligence and Data Analytics |
| COMP5112 | Data Structures and Database Systems |
| COMP5355 | Cyber and Internet Security |
| COMP5423 | Natural Language Processing |
| COMP5434 | Big Data Computing |
| COMP5523 | Computer Vision and Image Processing |
| COMP5554 | Advanced Artificial Intelligence |
| DSAI5103 | Advanced High Dimensional Data Analysis |
| DSAI5203 | Brain-inspired Computing |
| DSAI5204 | Efficient Data Processing# |
| DSAI5206 | Machine Vision and Intelligence# |
| DSAI5208 | Trustworthy AI Systems and Technologies# |
| DSAI5209 | Visual Data Representation and Processing# |
| DSAI5901 | Dissertation (9 credits) |
*New subjects pending University’s approval.
#New subjects under planning.
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