AI masters degrees timetables

Full-time study

Tuesday

9:00-11:00am: Fundamentals of Computation, Data and Algorithms (1-hour lecture))1:00-2:00pm: Fundamentals of Computation, Data and Algorithms (1-hour lecture)
2:00-4:00pm: Theory and Applications of Data Analytics (2-hour lecture)

Friday

11:00am-12:00pm: AI & Data Ethics (1-hour lecture)

1:00-3:00pm: Programming for Data Applications (2-hour lecture)

Professional and commuter-friendly facilities

Our flexible workspaces cater perfectly to working professionals, featuring private study booths, quiet study zones, campus-wide Wi-Fi, and printing facilities – ideal for productive work between lectures or during study breaks. For commuting students, we provide secure bicycle storage within the campus grounds, device charging points, personal lockers, and kitchen areas with complimentary tea and coffee.

Our campus offers excellent transport connections to central London, making it a convenient location for students travelling from across London and the Home Counties. View directions to campus. Directions to campus.

Intensive block teaching

Intensive teaching blocks throughout the semester, enable focused study within each subject area while incorporating planned breaks for reflection and coursework completion. This structured approach allows you to balance your MSc Artificial Intelligence studies with professional responsibilities, offering intensive learning sessions that combine academic excellence with real-world application.

Part-time programme option

For students needing additional scheduling flexibility, our artificial intelligence master’s programmes are offered on a part-time basis. Part-time participants follow the same weekly pattern as full-time students—attending on Tuesdays and Fridays—but engage in half-day blocks, generally scheduled for either morning or afternoon periods. This condensed format suits working professionals managing both academic pursuits and career obligations. The comprehensive part-time schedule, detailing precise timings and class arrangements, is under development and will be provided directly to candidates upon completion

Please note: While timetables are carefully planned, there may occasionally be changes due to unexpected circumstances.