Teaching & modules
Modules
Courses are divided into modules. You will normally take modules totalling 180 credits. You will complete the course in one year, studying from September to September.
Required Modules
You are required to take:
- Foundations of AI (15 credits)
- Responsible AI (15 credits)
- Machine Learning (15 credits)
- Programming in Action (15 credits)
- Science Application & Engagement at the Forefront of AI (30 credits)
- Dissertation (60 credits)
Optional Modules
In addition, you are required to take at least 30 credits from a range of optional modules, which may typically include:
- Entrepreneurship in AI (15 credits)
- Artificial Intelligence, Law & Society (15 credits)
- Quantum Information, Computing and Algorithms (15 credits)
- Intelligence and Autonomy (15 credits)
- Applied Systems Thinking (15 credits)
- Advanced Topics in AI - AI and Robotics Engineering (15 credits)
Teaching methods - what to expect
Teaching
We use lectures, seminars, and group tutorials to deliver most of the modules on this intensive course. Typically, one credit equates to 10 hours of work, e.g. 150 hours work for a 15-credit module. These hours cover every aspect of the module, including independent study.
A distinctive feature of this programme is a group project based module (Science Application & Engagement at the Forefront of AI) that begins in Semester 1, alongside your other required modules, with group tutorials that explore the cutting edge of AI. This develops in Semester 2 with group projects based on real-life case studies from industry, academia, government and the third sector.
Assessment
Your performance will be assessed through a combination of coursework and written/practical examinations. Forms of assessment may typically include written and computer-based exams, coursework, oral presentations, in-class tests, and an individual project dissertation.
The study time and assessment methods detailed above are typical and give you a good indication of what to expect. However, they are subject to change.
Assessment
- Coursework
- Written/Practical Examinations
- Presentations
- In-Class Tests
- Individual Project Dissertation
Your performance will be assessed through a combination of coursework and written/practical examinations. Forms of assessment may typically include written and computer-based exams, coursework, oral presentations, in-class tests, and an individual project dissertation.
Course structure
Courses are divided into modules. You will normally take modules totalling 180 credits. You will complete the course in one year, studying from September to September.
Application closing date guidance
Key Information
Course type:
Master's
Delivery mode:
In person
Study mode:
Full time
Duration:
1 year full-time, September to September
Application status:
Open
Start date:
September 2026