Health Data Science is an interdisciplinary programme that is designed to prepare you for the constantly evolving landscape of data-driven health care.
The programme is based on a research and practice-driven approach, which enables you to engage with real health data. This approach helps you learn how to solve complex computational and analytical health-related problems that are relevant to healthcare, epidemiology and biomedical research.
The curriculum is designed to bridge disciplines and reflect the collaborative nature of health data science itself, with content covering statistical modelling, machine learning, and data analysis and management.
From early in the programme, you will work with tools and technologies used in the field, such as R, SQL and Python developing your computational literacy alongside your knowledge of clinical, health-related data. The projects you will engage with are highly practical, and reflect real-world challenges, ranging from data handling to predictive modelling in clinical settings. While prior experience in statistical programming is helpful, it is not essential. You should either possess foundational knowledge or be motivated to develop these skills as part of the programme.
*Price shown is for indicative purposes, please check with institution
September 2027
Singleton Park Campus
Singleton Park,
Swansea,
SA2 8PP, Wales, United Kingdom
*Price shown is for indicative purposes, please check with institution
September 2026
Singleton Park Campus
Singleton Park,
Swansea,
SA2 8PP, Wales, United Kingdom
We require at least 2:2, or overseas equivalent, in a quantitative discipline such as
Your degree must have had significant statistical and computational elements or health data/medical background.
*There may be different IELTS requirements depending on your chosen course.
Swansea University is a dual campus university boasting excellent teaching, world class research and outstanding student support.