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M.Res. On Campus

Data Science and Analytics for Health

University of Leeds

12 months
Duration
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

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

Overview

The Data Science and Analytics for Health degree from University of Leeds draws on recent advances in information technology, data management, statistical modelling (for description/classification, causal inference and prediction), machine learning and artificial intelligence. It intends to equip health data scientists and health data analysts with the skills required to: harness the empirical insights available within large and varied data sources; and apply these to pressing clinical, social and organisational questions within the broad and varied context of health and healthcare services.

The programme is 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.

This course draws together:

  • established expertise in applied data science relevant to the statistical modelling of complex data and the use of machine learning and artificial intelligence to accelerate the application of modelling for insight and discovery through causal inference and prediction

  • key public and private sector partners with extensive experience of managing a range of complex health and healthcare data sources, and harnessing these to inform professional practice, service delivery, public policy and commercialization.

Programme Structure

A distinctive feature of this course is the inclusion of extended periods of hands‐on data science practice working on applied and collaborative workplace‐based projects across a range of health and healthcare services. You will be under the supervision of service‐specific specialists and academic experts in the management, analysis and interpretation of health and healthcare data.

These projects will offer you the opportunities to:

  • apply, test and further refine your skills in data science and analytics

  • experience working within established data science teams addressing pressing and pertinent health and healthcare problems

  • develop invaluable transferable skills relevant to interdisciplinary team science

  • generate analytical tools, empirical findings, and evidence‐based insights with the potential to have tangible impacts on health and healthcare policy and practice.

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General requirements

  • A bachelor (or master’s 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.
  • A-level: AAA including Mathematics or Computing or equivalents.

Tuition Fee

Living costs for Leeds

637 - 1103 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Science and Analytics for Health
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University of Leeds

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