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The University of Oxford

Health Data Science EPSRC CDT

University of Oxford
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Rank: 7 (UKEAS)

Location: University of Oxford


Study mode full-time

Degree: Doctorate

Start Date: 2021/10/01

Duration: 48 months

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The information provided on this page was correct at the time of publication (November 2020). For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via Oxford EPSRC CDT in Health Data Science offers opportunities for doctoral study in computational statistics, machine learning and data engineering within the context of ethically-responsible health research. The Oxford EPSRC Centre for Doctoral Training (CDT) in Health Data Science offers a four-year doctoral programme, beginning with the training year, which consists of two terms of intensive training in core data science principles and techniques followed by a third term where students undertake two 8-week research placements in two of their chosen research areas. It is expected that one of these projects will become the basis of the student's doctoral research, carried out in the following three years. Taught modules and subsequent research supervision are provided by leading academics from the departments of Computer Science (the host department), Statistics, Engineering Science, the Nuffield Department of Medicine, and the Nuffield Department of Population Health.The first year taught modules include:

  • Ethics of Health Data Science
  • Introduction to Computational Statistics
  • Modern Statistical Methods
  • Bayesian Modelling
  • Introduction to Machine Learning
  • Machine Learning Topics
  • Deep learning, Databases
  • Data Modelling
  • Process Modelling
  • Data Governance
  • Wearables
  • Medical Image Analysis
  • Epidemiology and Clinical Trials
  • Genetics
  • Infectious Disease Epidemiology
  • Pathogen Evolution and Phylodynamics.
A typical weekly timetable contains morning lectures from 9am to 12pm, followed by an afternoon of practical computational exercises from 1pm until 4pm.Each term of taught modules concludes with an extended, team-based two-week data challenge where the cohort uses an at-scale data set to address a current health research area. Our data science challenges involve engagement from industry and healthcare partners such as The British Heart Foundation, NVIDIA and exchange students from our partner institutions in Berlin.The centre is based in the Oxford Big Data Institute. The institute is an analytical hub for multi-disciplinary working at Oxford, connecting world-leading expertise in statistics, computer science, and engineering to data-driven research in medicine and population health. It is also home to the newly established Wellcome Centre for Ethics and Humanities.The institute houses internationally recognised research groups in genomic medicine, medical image analysis, mobile and sensor data, infectious diseases, large-scale clinical trials, ethical aspects of healthcare delivery and the ethics of health research.Research groups in partner departments address related challenges in data science: machine learning, knowledge representation, healthcare economics and cyber security.


Entry requirements

For complete and up-to-date information about this course, please visit the relevant University of Oxford course page via

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About this university

International students

Some 140 countries have attendees at Oxford and some 60% of the total student body is from outside the UK. There are various programs available for international students to help with orientation and integrating with life in Oxford as well as to help with legal matters such as immigration and visas. They can also help with practical matters such as dealing with finances and accessing health care with the National Health Service (NHS). Student life is filled with many traditions as befits a university of Oxford's age. One of these are the balls, held by the colleges with a formal dress code as well as smaller events regularly during the year. The Oxford University Student Union or OUSU, represents students and is their voice in debate about the university as well as organising student life organisations. There are a large number of sports available outside the classroom and many of these are of a high standard. The Boat Race is a famous example of a rowing race with nearby Cambridge University that is watched by up to 10 million TV viewers each year. There are also student newspapers and a radio station as well as performing arts groups. There are also student societies open to students who aren't studying the subject to learn something new and different.

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