Data Science and Analytics for Health MRes

Course overview

From understanding diseases better to improving the appointment process, data science and analytics are integral to the way the healthcare system works in society today.

Our Data Science and Analytics for Health MRes degree provides a comprehensive training in the management, modelling and interpretation of health and healthcare data used by clinical, behavioural and organisational sources.

The course draws on recent advances in information technology, data management, statistical modelling (for description/classification, causal inference and prediction), machine learning and artificial intelligence. It’s designed to enable you to develop both the technical and applied skills required for addressing real?world challenges in real?world health and healthcare contexts.

Studying in our?School of Computing?gives you access to a whole range of specialist facilities, whilst being taught by academics who are experts in their fields. We’re responsible for producing internationally excellent research and have long-established links in industry and with the?Leeds Institute for Data Analytics?(LIDA) which is at the forefront of big data research.

Once you’ve graduated, you’ll be fully equipped with the most up-to-date practices and techniques, alongside the technical skill set you’ll need to pursue an exciting career in industry.

Career opportunities

Data science and analytics have become key to streamlining the workings of many businesses – especially in healthcare. The healthcare industry looks after huge data sets so rely on qualified data scientists to provide practical insights and help contribute to improving the way the health system works in general. And this demand is only going to grow.

This MSc will give you the advanced and technical skill set in this field that’s in demand across the healthcare industry – and beyond.

A bachelor (or Masters degree) in computer science, science, technology, engineering, mathematics, medicine or a quantitative health discipline. Either a 1st class degree at bachelor or Masters level Or 2:1 (hons) plus (minimum 3 years) first?hand work?related experience in one or more quantitative science or healthcare settings.