This postgraduate degree will build on your existing quantitative knowledge to give you the expertise in statistical analysis, computer science and health research that you will need to become a data scientist in the healthcare sector.
You will develop a thorough grounding in computing and the statistical methods underpinning modern day data science, but with a focus on understanding, applying and adapting it to real life problems in the health domain.
You will develop computing skills required to manage and explore big health datasets, to gain insight into, and inform, health research. Your analytic skills will be developed on real medical data sets, using statistical and computational software such as R and Python.
Good undergraduate degree, minimum second-class honours in a subject with a high quantitative component, e.g. Mathematics, Physics, Economics. Equivalent professional experience may be considered in a relevant field.
The demand for health data scientists is high and careers sessions will support you looking for you ideal role. Graduates may work in the pharmaceutical industry, health services and university medical research groups and there will be opportunities to apply for PhD programmes.
Fundamentals of Medical Statistics
Foundations of Health Data Science
Statistical Modelling (Full-time)
Statistical Modelling (Part-time)
Statistical Computing and Inference
Computationally Intensive Methods
Advanced Statistical Modelling (Full-time)
Advanced Statistical Modelling (Part-time)
Epidemiology
Further Topics in Health Data Science
Health Data Science Project
Why choose Leicester for postgraduate study? The University of Leicester is recognised globally for world-class research and high-quality teaching, w...