Data Science for Public Health

Data Science for Public Health is an emerging discipline, combining mathematics, statistics, epidemiology and informatics. This program will equip young professionals with the tools and skills to manage and analyse very large diverse datasets across healthcare systems.

The demand for well-trained health data scientists is high and likely to increase over time. We anticipate graduates from the pharmaceutical industry; research organisations; governmental institutions such as the World Health Organization); Non-governmental organisations; Health-tech SMEs (small and medium-sized enterprises); and the academia.

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.