Course summary
The Centre for Health Informatics research is centred on new tools, techniques, analytics, and software that accelerates the use of data and knowledge discovery in healthcare and biosciences. Our focus is on how we can re-develop, reform, and revolutionise data infrastructure, intelligent analytics, and digital literacies to make new data-centric healthcare research possible. We are involved in the leadership of programmes such as HDR-UK Federated Analytics, DARE-UK and ELIXIR. Course content Core research themes/topics include: Federated tooling
- federated analytics
- federated/distributed data infrastructures
- FAIR (findable, accessible, interoperable, reusable) data
- cohort data discovery
- research software engineering
- machine learning/deep learning
- diagnostics prognostics
- machine learning interpretability
- text analytics
- bioinformatics
- medical data
- biomaterials discovery
- pain/inflammation research
- Covid
Entry requirements
PhD 2.1 (or equivalent) degree in a relevant subject and two references including at least one academic reference. MPhil 2.2 (or equivalent) degree in a relevant subject and two references including at least one academic reference.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
University of Nottingham
University Park
Nottingham
NG7 2RD