The UCL Centre for Artificial Intelligence is host to the UKRI funded Centre for Doctoral Training (CDT) in Foundational Artificial Intelligence (AI). The CDT provides training and is supported by a large body of industry partners to help the UCL team create an exciting platform to launch student careers as scientists or AI entrepreneurs.
Modes and duration
We do not encourage the programme to be taken part-time. This is because we believe that only by spending significant time embedded within the UCL research and training environment will the student be
Tuition fees (2021/22)
Note on fees: The tuition fees shown are for the year indicated above. Fees for subsequent years may increase or otherwise vary. Further information on fee status, fee increases and the fee schedule can be viewed on the UCL Students website.
A minimum of an upper second class UK Bachelor's degree, in a relevant discipline, or an overseas qualification of an equivalent standard, with a strong quantitative component evidenced by good performance (higher than 60%) in relevant mathematics, statistics or computation options.
English language requirements
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Standard
Further information can be found on our English language requirements page.
Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.
International applicants can find out the equivalent qualification for their country by selecting from the list below.
Select your country:
Our Foundational AI CDT addresses the need for AI workersÂ by training researchers capable of advancing core AI algorithms. Our graduates will help shape the social, scientific and economic landscape through scientific breakthroughs and the creation of companies on the basis of novel AI technology.
Current AI machines are largely "dumb" â they don't understand their physical environment, nor have enough understanding of human culture to communicate in natural ways. Our vision is that AI is in its infancy and that AI breakthroughs are key to controlling and shaping the future technological landscape. However, creating effective AI is challenging given our limited understanding of how intelligence works.
A key research objective of CDT students is to make new algorithms for next-generation AI technologies by incorporating more knowledge about the real-world and human culture into the AI agents themselves.
Machine learning, neural networks, natural language processing, computer vision, computational statistics, probablistic modelling
About this degree
If you have been ordinarily resident in the UK for three years, and have no restrictions on how long you may remain you will normally be entitled to apply for a full studentship. This will cover tuition fees and provide a maintenance stipend. If you do not meet this criteria, we do also have a limited number of scholarships available for exceptional candidates.
Scholarships relevant to this department are displayed below.
- Fees, maintenance and travel (Duration of programme)
- Based on academic merit
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
Why study this degree at UCL?
Department: Computer Science
Application and next steps
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.
UCL is regulated by the Office for Students.