Course Content
Part A. Foundations for advanced artificial intelligence studies (24 credit points)
These studies will provide an orientation to the field of artificial intelligence at graduate level. They are intended for students whose previous qualification is not in a cognate field.
- Introduction to databases
- Algorithms and programming foundations in Python
- Introduction to computer architecture and networks
- Mathematical foundations for data science.
Part B. Core master's studies (48 credit points)
These studies will provide an orientation and draw on best practices within the broad field of artificial intelligence practice and research. You will gain a critical understanding of theoretical and practical issues related to artificial intelligence. Your studies will focus on fundamentals, core knowledge as well as application in artificial intelligence.
- Fundamentals of artificial intelligence
- Project management
- IT research methods
- Machine learning
- Deep learning
- Modelling discrete optimisation problems
- Multi agent systems and collective behaviour
- Intelligent image and video analysis OR Malicious AI.
Part C. Advanced practice (24 credit points)
The focus of these studies is professional or scholarly work that can contribute to the portfolio of professional development in AI. You will have two options:
- A program of coursework involving advanced study and an industry experience studio project.
- A research pathway including a thesis. If you wish to use this master’s course as a pathway to a higher degree by research you should take this option.
