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 with forms AR146 and Subject Description forms attached for APRC’s approval.
#New subjects to be submitted to WGIDS for implementation from Semester 2 of 2025/26.

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 with forms AR146 and Subject Description forms attached for APRC’s approval.
#New subjects to be submitted to WGIDS for implementation from Semester 2 of 2025/26.