DPhil in Cardiovascular Science (Cardiovascular Technology, AI and Data)
This DPhil, which includes funding support from the British Heart Foundation (BHF), is for graduates who want to undertake advanced research into cardiovascular disease in Oxford.
Closed to applications for entry in 2026-27. Register to receive an email when applications open (for entry in 2027-28).
- Expected length:
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- Full time: 4 years
- Expected start date:
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- Full time:
- English language level:
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- Standard level required
About the course
The DPhil in Cardiovascular Science (Technology, Artificial Intelligence, and Data Driven Solutions for Cardiovascular and Metabolic Diseases) is a collaboration between the University of Oxford and Imperial College London.
The course is divided into two parts. In year one you will receive theme-specific multi-disciplinary skills training and complete two short projects linked to the DPhil project. In years two to four you will complete your DPhil project.
Course structure
Year one
You will complete a 6-week, full-time (5 days a week) taught induction programme. This will be delivered through a combination of in-person and online sessions. Teaching will be led by a multi-disciplinary faculty spanning biomedical sciences, statistics, computing, engineering, and clinical medicine. You will be exposed to core areas where the department seeks to undertake transformative collaborative research, such as arrhythmias, heart failure, cardiomyopathies and atherosclerotic cardiovascular disease. You will also be taught core principles of artificial intelligence, data science, machine learning, and cardiovascular engineering, with a focus on multimodal data including imaging, wearable technologies, ECG and Holter monitoring, omics, and electronic health records.
A key component of the programme will be the use of real-world case studies, enabling you to apply these approaches to clinically relevant problems in cardiovascular disease.
Following this induction period, you will transition directly into your research projects relevant to your DPhil. You will work on an initial project with your Oxford supervisor (Jan-April / months 1 to 4) and a second project in collaboration with your Imperial co-supervisor (May-August/September / months 5 to 8/9).
These projects will form part of a single DPhil project, with formative assessments and opportunities for joint supervision, structured training, and cohort-based learning. This early start enables rapid development of research skills and close integration with ongoing projects. Where appropriate, projects may involve collaboration with industry partners, providing exposure to translational research and real-world implementation.
For the remainder of year one, following a modular framework overseen by the doctoral training programme (DTP)-team, you will then engage in local supervisor-led project-specific training, dovetailed with selected taught components from established courses at Oxford and Imperial.
Your bespoke training plan, co-developed with your supervisors, will be developed early in the programme in discussion with your supervisors and reviewed by the DTP team. Using this model, you will receive further tailored training relevant to your projects in year one (eg in computer programming, development of AI models, computational modelling, genomics/-omics, cardiovascular imaging analytics).
Additional sessions will cover research ethics, implementation science, public engagement, and enterprise skills.
You will also participate in cohort-based activities at Imperial College London, including interdisciplinary workshops, case-based discussions, and seminars, fostering a collaborative and supportive learning environment. This combination provides a strong foundation for interdisciplinary research and future career development.
Years two to four
In years two to four, you will continue to develop and deliver your main DPhil project, building on the foundations established during year one. You will benefit from ongoing supervision across Oxford and Imperial, alongside advanced training opportunities, interdisciplinary collaboration, and continued engagement with academic, clinical, and industry partners.
Core components
You will take an induction programme, work on two research projects and then undertake your main DPhil project.
Research areas
You will have the opportunity to undertake research within the specialised themes of this course.
Course details
Entry requirements
For entry in 2026-27