Population Health Data Science

Entry requirements

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.

Months of entry

September

Course content

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.

Alongside this, you will develop your knowledge base of cutting-edge machine learning and artifical intelligence methods, learning how they can be harnessed to answer clinical questions, bringing together the power and potential of computational analytics, statistical thinking, and medical research to improve health.

Information for international students

English Language Requirements

IELTS 6.5 or equivalent. If your first language is not English, you may need to provide evidence of your English language ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard.