Studentship overview
Degree level
Postgraduate doctoral
Value
Full Tuition Fees (Home rate), a bursary (UKRI London rate, ie, £22,780 pa in 2025-26), and conference support funds
Academic year
2025/2026
Tuition fee status
Home
Mode of study
Full time
Available to
Prospective students
Application deadline
Additional information
Available to applicants in the following departments
- Computing
Eligibility criteria
Entry to our AI for Healthcare CDT programme (at the Department of Computing) is very competitive. Applicants are expected to have or to achieve a First Class (4-year) Undergraduate degree and Distinction level Master’s degree or equivalent degrees in a relevant scientific or technical discipline, such as computer science, engineering (mechanical, electrical, biomedical engineering), mathematics, physics, statistics, as well as biological sciences, or medicine. Expected core skills include mathematics, coding, statistics. Additional expertise in medicine or biology (especially quantitative and biological systems) is valuable, as is expertise in machine learning, computer vision, deep learning, robotics, natural language processing, human-computer interfaces or software engineering. If in doubt, prospective applicants are encouraged to apply in any case.
Please note: This studentship is not available to continuing students.
Course specific information
Our PhD programme requires ATAS.
Application process
Please refer to the information on our Programme website:
https://ai4health.io/apply/
Additional information
In the AI for Healthcare Programme (#AI4Health), we train the next generation of innovators and scientists in cutting-edge AI technologies. Our focus lies at the intersection of artificial intelligence and healthcare. We are dedicated to bringing together the AI and healthcare research communities. This multi-disciplinary approach enables us to tackle the grand challenges that healthcare providers and healthcare systems face, using AI to innovate and develop ground-breaking solutions.
Contact
If you have any additional questions, please contact us at ai4health-admissions@imperial.ac.uk.