You will follow two taught semesters of lectures, tutorials, project work and written assignments. During this time you will also learn research methods (such as literature review and project planning) to prepare for your final project and dissertation, which is completed during the summer.
In addition, about half your taught course credits must be chosen from areas of artificial intelligence. Course offerings follow the main research areas of our staff, with multiple course options available in natural language processing, machine learning, robotics, and related areas.
Example courses offered recently in artificial intelligence include:
- Accelerated Natural Language Processing
- Advanced Vision
- Automatic Speech Recognition
- Decision Making in Robots and Autonomous Agents
- Machine Learning & Pattern Recognition
- Natural Language Understanding, Generation, and Machine Translation
- Probabilistic Modelling and Reasoning
- Reinforcement Learning
- Robotics: Science and Systems
For your remaining courses, you may choose further options from artificial intelligence or from a wide range of courses offered in other areas of Informatics, including computer systems, theoretical computer science, software engineering, and social and biological computation. Guidance is provided to help you choose a set of courses that work well together, giving you specialised expertise in your chosen area.
Please note: This degree has flexible course options. Students are only admitted onto the degree if they will have a viable set of options, but not all courses on offer are appropriate for all admitted students. The School of Informatics offers a wide selection of courses, but not all optional courses are guaranteed to run every year, and a few high-demand courses may limit enrolment to students on the most relevant degree(s).
