Specialisation
Artificial Intelligence & Data Science
Turn raw, messy data into decisions — and build systems that learn from it.
Artificial intelligence and data science sit at the centre of how modern organisations decide anything at scale. This track teaches both halves: the statistical craft of getting honest answers out of data, and the engineering discipline of putting a model into production where it keeps working.
What you learn
The sequence moves from statistics and data wrangling to classical machine learning, then to deep learning and language and vision models. Every course carries a project on a real dataset, not a cleaned teaching set.
- 01Data collection, cleaning and feature engineering
- 02Supervised and unsupervised learning, and how to evaluate them honestly
- 03Deep learning for language, speech and vision
- 04Deployment, monitoring and drift — the part most courses skip
Where it is applied here
Departmental research applies these methods to computer vision, cybersecurity and applied machine learning. Undergraduates join that work and are credited on the resulting papers.
Courses
What you take
The shared core courses that feed this track, plus the electives available from semester five.
Related core
After graduation
Where graduates go
- Data scientist
- Machine learning engineer
- Data analyst / BI developer
- Research assistant, graduate study
Interested in this track?
You do not have to decide now — the choice is made at the end of semester four.