MSc in Mathematics for Artificial Intelligence Technology

MSc in Mathematics and AI Technology_breadcrumb

Students studying for MSc award must complete:

(Option 1) 7 compulsory subjects (21 credits) and 3 elective subjects (9 credits); OR

(Option 2) 7 compulsory subjects (21 credits) and a dissertation (9 credits)

There is also a 1-credit compulsory subject: Academic Integrity and Ethics in Science.

Subject Code	Subject Name
AMA528	Probability and Stochastic Models
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

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)

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MSc in Mathematics for Artificial Intelligence Technology

Subject Code

Subject Name