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Healthcare Data Science (EPSRC CDT)
University of Oxford

Course options

Qualification

PhD/DPhil - Doctor of Philosophy
Location

Wellington Square Campus
Study mode

Full time
Start date

28-SEP-26
Duration

4 Years

COURSE SUMMARY
MODULES
TUITION FEES
ENTRY REQUIREMENT
UNIVERSITY INFO

Course summary

The EPSRC CDT in Healthcare Data Science is a four-year cohort-based training programme offering doctoral study in computational statistics, machine learning, data engineering and infectious disease analytics within the context of ethically-responsible health research.

This course is administered by the Medical Sciences Doctoral Training Centre and jointly run by a range of Oxford departments including the departments of Computer Science, Statistics, Engineering Science, the Nuffield Department of Medicine, and the Nuffield Department of Population Health.

The Oxford EPSRC CDT in Healthcare Data Science is based in the Oxford Big Data Institute (BDI) a purpose-built research institute at the heart of the University's biomedical campus.

The Institute combines researchers from genomics, epidemiology, population health, and infectious disease alongside those from computer science, statistics and engineering to develop the field of big data as applied to biomedical research. Scientists working in the Institute form an analytical hub, deeply connected to the wider experimental and clinical community in Oxford and beyond, working to solve some of the major challenges in medical research. The BDI aims to develop, evaluate and deploy efficient methods for acquiring and analysing information at scale and for exploiting the opportunities presented by large-scale studies. Its activity includes, the analysis population scale data, derived from health records, genetics and biomarkers, the analysis of images and application of machine learning, and the analysis of single cells and molecular proteomic and transcriptomic data.