Generative Artificial Intelligence
Entry requirements
2:1 in Computer Science or a related area.
Please also see our guidance on essential documentation required for an initial decision on taught programme applications.
Months of entry
September
Course content
- Delve into the transformative world of AI systems that generate content and create innovative solutions
- Explore core theoretical principles and methodologies of generative models, focusing on their diverse applications, from natural language processing, text-to-image synthesis, and creative industries
- Discover the intersections of generative AI and computer science, linguistics, healthcare, environmental science and more
- Based on a foundation of leading research into the ongoing development and integration of generative AI and its impact on the future of work and business
Information for international students
International students need to show they have the required level of English language to study this course. The required test scores for this course fall under Profile B1.
Please visit our English language requirements page to view the required test scores and equivalencies from your country.
Fees and funding
We are proud to offer a range of scholarships to help fund your studies. We constantly add to our scholarship portfolio, many of which are funded by our alumni and supporters.
Our prestigious, merit-based Excel at Exeter scholarship is designed to support international applicants with outstanding academic records. We have awards for undergraduate and postgraduate applicants.
Scholarships
The University of Exeter offers a wide range of scholarships to support your education, with £7 million available for international students applying to study with us in the 2026/27 academic year, including our prestigious Exeter Excellence Scholarships *. We also provide awards for sport, music and other achievements, as well as regional and partner scholarships with organisations such as Chevening, The Beacon Trust and the British Council. For more information on scholarships and other financial support, please visit our scholarships and bursaries page.
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Dr Xiaoyang Wang
- ESEEnquiries@exeter.ac.uk
- Phone
- +44 (0)1392 72 72 72