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Biomedical AI (PhD)

Find out more about our PhD in Biomedical AI.

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P-F10D

PhD

3-4 years full-time;
Up to 7 years part-time

5 October 2026

Computer Science

University of Warwick

An integrated PhD pathway combining cutting-edge AI with deep expertise in biomedical data and real-world translation, delivered within a globally leading research environment (Warwick Computer Science ranked 4th in the UK, REF 2021). Designed for ambitious candidates from diverse backgrounds, it prepares future leaders across academia, healthcare, and the life sciences industry.

The PhD program is an integrated pathway that combines technical excellence in AI with a deep understanding of biomedical data, regulatory challenges and translational impact.

This program is suitable for skilled and highly-motivated applicants from varying fields including biomedicine, and will prepare students for diverse research and leadership roles in academia, healthcare and life sciences industry.

Research themes

The current research themes include:

• Computational pathology & computational oncology
• Synthetic and computational biology
• Computational neuroscience
• AI/ML for multimodal biomedical data integration
• Clinical decision support and health data science
• Responsible and trustworthy AI for biomedical applications

Full details on our current research is available on the Computer Science website.Link opens in a new window

Before you make a formal application, your proposal is emailed to a potential supervisor for their consideration. You may not be considered for a research degree if you do not have (and we could not identify) an academic willing to supervise your research.

For this programme, your primary supervisor must be from the Department of Computer Science. At least one co-supervisor will also be chosen from outside the department.

Explore the research interests of our academic staff.Link opens in a new window

You can also see our general University guidance about finding a supervisor.Link opens in a new window

Applicants should hold (or be expected to obtain) a first-class or strong upper second-class honours degree (or equivalent) in Computer Science, Engineering, Mathematics, Statistics, Biomedical Sciences, or a related discipline. An MSc degree is desirable, but not essential.

Applicants from clinical or life sciences backgrounds with strong quantitative skills and an interest in computational methods, particularly AI, are also encouraged to apply. In those cases, the candidates will work with their supervisors at the early stages of their PhD to identify appropriate training opportunities.

• Band A
• IELTS overall score of 6.5, minimum component scores not below 6.0.

There are no additional entry requirements for this course.