Data Science and Analytics for Health MRes

**This part-time, two-year course is open to NHS staff only.**<br/><br/>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.<br/><br/>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.<br/><br/>The course draws on recent advances in information technology, data management, statistical modelling (for description/classification 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.<br/><br/>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 with the NHS, in industry and with the Leeds Institute for Data Analytics (LIDA) which put us at the forefront of health data research.<br/><br/>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 as a trained Data Scientist.<br/><br/>**Why study at Leeds:**<br/>- Research produced by the Leeds Institute for Data Analytics and our School’s globally-renowned research conducted right here on campus feeds directly into the course, shaping your learning with the latest thinking.<br/><br/><br/>- Benefit from studying at a university thats partnered with the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.<br/><br/><br/>- Advance your knowledge and skills in key areas of computing including data science and analytics, machine learning and artificial intelligence.<br/><br/><br/>- Build practical real-world NHS experience by conducting a workplace-based project which focuses on applying and evidencing data science competencies within the context of an unsolved healthcare topic, giving you the chance to put your learned technical skills into practice.<br/><br/><br/>- Experience expert theoretical and practical teaching delivered by a programme team made up of academics who specialise in a wide range of computing topics.<br/><br/><br/>- Study in the Sir William Henry Bragg building which provides excellent facilities and teaching spaces for an outstanding student experience.<br/>