Data Science and Analytics for Health at University of Leeds - UCAS

University of Leeds

Degree level: Postgraduate

Data Science and Analytics for Health (Taught)

Course options

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Course summary

This course is open to NHS Digital staff only. 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. Why study at Leeds:

  • Learn the latest innovations in computing and data science from our world-leading research conducted right here on campus that feeds directly into the course.
  • Benefit from studying at a university that is a partner of the Alan Turing Institute, the UK’s national institute for data science and artificial intelligence.
  • Advance your knowledge and skills in key areas of computing including data science and analytics, machine learning and artificial intelligence.
  • Build industry experience and conduct a workplace-based project which focuses on applying and evidencing programming competencies within the context of real-world topic systems, giving you the chance to put your learned technical skills into practice.
  • Experience expert theoretical and practical teaching delivered by a programme team made up of academics who specialise in a wide range of computing topics.
  • Study in the Sir William Henry Bragg building, a brand-new development providing excellent facilities and teaching spaces for an outstanding student experience.
  • Make the most of your time at Leeds by joining CompSoc, where you can meet like-minded undergraduate and postgraduate students in the School of Computing through fortnightly events covering a range of activities including socials, sports and Hackathons!

Entry requirements

2.1 degree in appropriate subject

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

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Data Science and Analytics for Health at University of Leeds - UCAS