These skills will enable you to extract valuable empirical evidence to better understand the causes of disease, and more accurately predict and evaluate health outcomes and health service needs.
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.
On completion of this course, you will be strongly positioned to enter an exciting and rewarding career path in one of at least three main areas:
- as skilled data science researchers in research‐intensive settings (including academia) – with good research funding prospects and substantial potential for societal and economic impacts arising out of the outputs from your applied, workplace‐based health data science projects;
- as health and healthcare data science entrepreneurs – developing business ideas based on the application of your advanced data science skills in extended workplace‐based research projects within the health domain; and
- as key research and development staff within public, private/commercial or voluntary sector organisations – generating and capitalising upon the novel insights and discoveries accessed through the application of advanced data science techniques to rapidly expanding clinical, behavioural and operational data sets.
Get more detailsVisit official programme website
- Data Science and Analytics for Causal Inference and Prediction
- Principles of Data Science and Analytics
- Machine Learning
- Artificial Intelligence
- Workplace-based Data Science and Analytics Research and Development Project
- Programming for Data Science
- 12 months
- 24 months
Start dates & application deadlines
- Apply before , National
- Apply before , International
DisciplinesData Science & Big Data Artificial Intelligence Machine Learning View 231 other Masters in Artificial Intelligence in United Kingdom
A bachelor degree with a 2:1 (hons) in computer science, science, technology, engineering, mathematics or a quantitative health discipline; or equivalent first‐hand work‐related experience in one or more quantitative science or healthcare settings assessed through APEL.
Living costs for Leeds
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
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.
Apply and win up to €10000 to cover your tuition fees.
Updated in the last 6 months
Check the official programme website for potential updates.