Centre for Doctoral Training in AI-enabled Healthcare


Information for applicants

Applications for September 2023 are now open.

Sign up for our open day event on 12th January 2023.

The UKRI CDT in AI-enabled Healthcare Systems accepts applications from:

  • Those who wish to receive a funded scholarship.
  • Those who already have a funded scholarship from another source.

Below you will find further information about funding, eligibility and general entry requirements.

General Entry Requirements
  • You must have achieved (or are predicted to achieve) a first-class or upper second class honours undergraduate degree, or a Masters degree in a relevant discipline (or equivalent international qualifications or experience). 
  • Our preferred subject areas are Physical Sciences (Computer Science, Engineering, Mathematics and Physics) or Clinical / Biomedical Science.
  • Applicants with a clinical background or degree in Biomedical Science must be able to demonstrate strong computational skills.
  • You must be able to demonstrate an interest in creating, developing or evaluating AI-enabled Healthcare systems.
  • You must fulfil the UCL English language requirements. If your first language is not English then you will be required to provide evidence of proficiency in English. Further details can be found on the following UCL web page. The English language level for this programme is: Level 2.
What Funding is Available? 

UKRI Funding
What’s included? 4 years of the MRes/PhD funding including:

  • UCL academic fees (UK Home fees).
  • A tax-free stipend of £19,668.
  • Access to a Research Training Support Grant to cover expenses for research trips/conferences or workshops.

Who can apply?
When applying for the CDT programme, you will automatically be considered for UKRI funding. All UKRI-funded doctoral students will be eligible for the full award – both the stipend to support living costs, and fees at the UK research organisation rate. However, UKRI international studentships are limited to 30 per cent of the total cohort and places will be competitive. The information here is intended to summarise UKRI guidance on eligibility and has been updated in line with recent UKRI announcements

Home students
Home students will be eligible for a full UKRI award, including fees and stipend, if they satisfy UKRI criteria, including residency requirements.

International applicants
International students are eligible for funding that would cover UK-Home tuition fees and a stipend to support living costs, however, our funding does not cover international fees. International students who are not eligible for UK home tuition fee rates may be eligible for a UCL scholarship. International Scholars Award for Doctoral Training  (ISAD) are awarded by UCL following a successful application to the CDT. Students interested in the ISAD should indicate this on their application. 

EU students
Following the written statement by The Minister of State for Universities, EU, other EEA and Swiss nationals will no longer be eligible for home fee status from the academic year starting in August 2021. It will not affect EU, other EEA and Swiss nationals benefiting from Citizens’ Rights under the EU Withdrawal Agreement, EEA EFTA Separation Agreement or Swiss Citizens’ Rights Agreement respectively. It will also not apply to Irish nationals living in the UK and Ireland whose right to study and to access benefits and services will be preserved under the Common Travel Area arrangement. Students living within the EU who do not meet eligibility requirements for Home Fee status will need to submit applications as international students.

UCL Research Excellance Scholarships 2023- applications now closed
Applicants interested in applying for the  Research Excellence Scholarships must apply via UCL Select by 4 January. Unlike UKRI funded students, they must include a research project lay summary and a prospective UCL supervisor reference. Applicants will need to find their own UCL supervisor using the UCL Directory to support their application. Finally, ensure you include in your application on UCL select that you are applying for one of these scholarships. Note: please ensure you submit all the required documents that are outlined on the scholarship websites.

Self-funded students 
We are no longer accepting applications from self-funded students. If you are not eligible for UKRI funding we recommend you instead consider applying for the Health Informatics MPhil/PhD programme. However, we do welcome applications from students (Home/EU/International) who are in receipt of alternative scholarships.

Industry-funded Studentships
Students who wish to be considered for industrially sponsored projects should indicate their interest in their application. Industry-funded CDT projects will be advertised on our projects page when available. Industry-funded projects are more likely to be open to EU applicants who do not meet the above residency requirements. If you have any questions about funding, eligibility, or general entry requirements please email aihealthcdt@ucl.ac.uk.

How to Apply
The application process involves three steps:

  1.  A formal application to UCL via UCL Select.
  2. Shortlisted applicants will be invited to a formal interview.
  3. Offers will then be made to successful applicants.

Application Deadline
We recruit in two rounds.
Round 1 deadline: 4th January 2023
Round 2 deadline: 8th February 2023
Applicants are advised to apply early, priority will be given to those who have applied in round one.

Apply Now

Notes on Applying:

  • When applying for the 4-year CDT programme, choose 'TMRAIHSING01 MRes Artificial Intelligence enabled healthcare'.
  • If you are applying for a UKRI funded studentship please leave the 'Research Proposal' section on the application form blank.
  • International applicants applying for a Research Excellence Scholarship (not UKRI funding) will need to include a research proposal (and supervisor information if applicable).

Personal Statement Guidance

  • Indicate the reasons why you have chosen to apply for the CDT.
  • Outline your interest in creating, developing or evaluating AI-enabled Healthcare systems.