Course summary
Demand for individuals qualified in health informatics and data science is on the rise. With the demand for healthcare services currently exceeding supply worldwide, health providers and leading multinationals are heavily investing in information technology to provide solutions. Our forward-thinking course provides insightful training into how modern applications of data and informatics in health management and planning can use and generate evidence to influence policy and practice. Created by experienced academics and professionals, our course is designed for both recent graduates and professionals looking to advance their careers. The course will develop your knowledge and understanding of health informatics, health data science techniques, and real-world application of research methods; these skills and awareness are currently sought after by employers. Leading expertise We combine health, data and social science expertise with a research focus to develop knowledge, skills and awareness of sources and uses of evidence in healthcare. Developing research capacity in health informatics and data science is a priority area internationally. Staff contribute expertise to the Research Methods Incubator of the UK National Institute for Health and Social Care Research (NIHR) Academy. With us, you will be actively involved in listening to, and informing, the informatics and data science agenda for health. Leading expertise
- Learn from experts in health informatics and data science, including in machine learning and AI.
- Multidisciplinary research expertise is embedded within the curriculum.
- Learn from a curriculum informed by the latest understanding and practice, with academic teams in the Faculty of Medicine and Health, and the Institute of Health Sciences; and strong collaborations with Computer Science.
- Both full-time and part-time options available so you can apply your learning while you study.
- Tailor your degree to your specific career ambitions, or the needs of your sector with optional modules.
- Explore a new and innovative approach to health informatics, statistics and computer science that focuses on patient benefit and evidence-based, high-quality healthcare.
- Address human and technical challenges in healthcare and health data science.
- Develop your knowledge of fundamental statistical, social, and governance concepts
- Study a multidisciplinary approach to health informatics with a social science perspective as well as health economics and behavioural sciences.
Entry requirements
First degree in a relevant subject e.g. Social Sciences, STEMM, Nursing (or equivalent) 2:1 OR previous work experience (minimum 2 years) of handling and/or analysing data. This is an academically rigorous course. Applicants with other qualifications may be accepted if they can demonstrate suitable professional experience. Contact the admissions office if you are unsure of your eligibility. This course is also available as an intercalated programme to students who have completed three years of a UK medical degree (or international equivalent) and are normally ranked in the top 50% of their year of study. Read more at Intercalation. We accept a range of international equivalent qualifications. For information contact the Admissions Team. Students whose 1st language is not English, should have an IELTS 7 overall, with no less than 6.5 in each component. For other English qualifications, read English language equivalent qualifications.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Fees are listed on our website: https://courses.leeds.ac.uk/
Provider information
University of Leeds
Woodhouse Lane
Leeds
LS2 9JT