Overview
The Healthcare Data Science programme offered by University of Oxford 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.
Features
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.
Programme Structure
Curriculum
- Health Data Ethics
- Software Engineering
- Statistical Methods
- Epidemiological Methods
- Machine Learning
- Bayesian Statistics
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Delivered
Campus Location
- Oxford, United Kingdom
Disciplines
Health Sciences Data Science & Big Data View 31 other PhDs in Data Science & Big Data in United KingdomWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A first-class or strong upper second-class undergraduate degree with honours
- The above qualification should be achieved in one of the following subject areas of disciplines:
- Mathematics
- Statistics
- Engineering Science
- Computer Science; or
- A science subject which equips you with demonstrable quantitative skills
- A master's qualification (either in integrated master's degree or standalone) in one of the above subjects is preferred but not required. Substantial professional experience or a graduate qualification may be a substitute for a lower grade at undergraduate level.
- For applicants with a degree from the USA, the minimum overall GPA that is normally required to meet the undergraduate-level requirement is 3.5 out of 4.0.
Tuition Fees
-
International Applies to you
Applies to youNon-residents34700 GBP / year≈ 34700 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents10470 GBP / year≈ 10470 GBP / year
Living costs
Oxford
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find PhD's scholarship opportunities for Healthcare Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility