|This programme is new for 2020/21. Further information will be added to this page once confirmed.|
This programme, supported by Health Data Research UK (HDR UK), aims to train a new generation of world-leading health data scientists, to work in both the public and private sector. Teaching will focus on building strong quantitative, computational and practical data management skills, while providing opportunities to develop key professional skills required to be a successful health data scientist.
The programme will enable you to:
- apply statistical and machine learning approaches to analyse health-related data
- acquire the tools and skills to manage very large diverse datasets across healthcare systems
- develop the professional skills – including teamwork, project management, and presentation skills – to work as a successful data scientist in the public or private sector
- understand the varied roles of a health data scientist within the wider health and health research environment
- learn about the key sources of health data, and the context in which these data are collected, implications of the context on issues such as data quality, accessibility, bias and the appropriateness of use to address specific questions
- study the key issues related to ethics, security and information governance.
Modules may include (subject to validation):
- Introduction to Health Data Science
- Health Data Management
- Epidemiology for Health Data Science
- Machine Learning
- Statistics for Health Data Science
- Data Challenge
- Analysis of Hierarchical and Other Dependent Data
- Spatial Epidemiology in Public Health
- Modelling & the Dynamics of Infectious Diseases
- Survival Analysis and Bayesian Statistics
- Environmental Epidemiology
- Genomics Health Data
- Advanced Statistical Modelling
You will complete a research project on a relevant topic of your choice.