The Oxford EPSRC CDT in Health Data Science offers a four-year doctoral programme in translational data science. Students learn core data science techniques: computational statistics; machine learning; and data engineering. They apply, develop, and refine these techniques in the context of world-leading health research.
The aim of the programme is to produce data scientists who can: lead the adoption and refinement of data-driven approaches to health research and healthcare delivery; collaborate effectively with domain experts and data users; and understand the ethical implications of new, automated technologies.
Teaching and supervision is provided by active researchers from university departments in computer science, statistics, engineering, medicine, and population health. The programme is based in the University’s Big Data Institute, a multi-disciplinary hub at the heart of the translational, medical campus.
Students have the opportunity to work closely with a range of research groups and industry partners. A small number of industry-sponsored studentships are available. EPSRC fully-funded studentships, covering all fees and living costs, are available for students who meet the UK nationality and residency requirements.
The programme begins with six months of intensive courses in: data science ethics; computational statistics; machine learning; deep learning; data engineering; epidemiology; wearable technologies; imaging; genetics; and infectious diseases. The remainder of the first year is spent in two placements with research groups, each lasting eight weeks.
Students choose a topic for their doctoral research at the end of the first year. They will spend the next three years working as part of a research group and making a novel, scientific contribution to the field. During this time, they will have opportunities to work with a wide range of partner organisations and programmes.
The Centre is recruiting for October 2021 entry. Applications are invited from anyone with mathematical aptitude, computational thinking, good communication skills, and an undergraduate degree in a relevant subject. A masters-level qualification in computer science, statistics, or engineering would be welcome but is not essential.
You can apply using the University of Oxford’s online graduate admissions portal. You will need to provide: a curriculum vitae or resume; a statement of purpose, explaining your interest and intentions; an official transcript of your existing education; and three references, at least two of which should be academic.
The information you submit to this university will only be used by them to deal with your enquiry. For more information on how we use your data, please read our privacy statement