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Discover courses across every level โ from primary school to professional development.
1,187 courses available
Data Science
Data Science Ethics and Governance (Year 4)
Covers the ethical and governance considerations in data science practice, including algorithmic bias, data privacy, and responsible AI use.
Data Science
MLOps and Model Deployment (Year 4)
Covers the practices used to deploy, monitor, and maintain machine learning models in production environments.
Data Science
Advanced Practicum: Data Science Internship (Year 4)
An extended, supervised internship giving students substantial independent responsibility for a data science project in a real industry setting under experienced mentorship.
Data Science
Emerging Trends in Data Science (Year 4)
Surveys emerging tools, techniques, and applications in data science, developing a forward-looking perspective on the evolving field.
Data Science
Capstone: Data Science Project (Year 4)
A culminating independent project requiring students to design, build, and evaluate a substantial data science solution addressing a real or realistic problem.
Artificial Intelligence
AI Systems Design and Deployment (Year 4)
Covers the end-to-end design and deployment of artificial intelligence systems, from model development through to production integration.
Artificial Intelligence
Advanced Practicum: AI Industry Internship (Year 4)
An extended, supervised internship giving students substantial independent responsibility for an AI project in a real industry setting under experienced mentorship.
Artificial Intelligence
Explainable AI (Year 4)
Covers techniques for making the decisions of complex AI models interpretable and explainable to humans, an increasingly important requirement in real-world AI deployment.
Artificial Intelligence
Emerging Trends in Artificial Intelligence (Year 4)
Surveys emerging tools, techniques, and applications in artificial intelligence, developing a forward-looking perspective on the evolving field.
Artificial Intelligence
Capstone: Artificial Intelligence Project (Year 4)
A culminating independent project requiring students to design, build, and evaluate a substantial AI solution addressing a real or realistic problem.
Software Engineering
Enterprise Software Development (Year 4)
Covers the development of large-scale software systems for enterprise use, including enterprise architecture patterns and integration with legacy systems.
Software Engineering
Software Engineering Ethics and Professional Practice (Year 4)
Covers the professional and ethical standards governing software engineering practice, preparing students for the ethical demands of the profession.