Health Informatics with Data Science

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.

English language requirements

IELTS 7.0 overall, with no less than 6.5 in each component. For other English qualifications, read English language equivalent qualifications.

Months of entry

September

Course content

Demand for individuals qualified in health informatics and data sciences is increasing. With healthcare demand currently exceeding supply worldwide, health providers and leading multinationals are investing massively in information technology to provide solutions.

Our forward-thinking course provides insightful training around modern applications of data and informatics in health management and planning.

Created by experienced academics and professionals, our course is designed for both recent graduates and professionals looking to advance their careers, to gain knowledge and understanding of health informatics and health data science techniques, and to gain skills currently sought after by employers.

Leading expertise

• Study with experts in health informatics and data science.

• Create a bespoke learning journey and choose optional modules to reflect your own interests, including artificial intelligence.

• Learn from a curriculum informed by the latest understanding, with academic teams across the School of Medicine.

Flexible learning

• 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.

To prepare you for these unique challenges ahead, at Leeds you’ll:

• 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.

Through years of teaching and research, we’ve developed a strong national and international reputation in health informatics and data science. Our staff are actively engaged in delivering education and skills, and are involved in a variety of ongoing research projects to improve and redesign NHS services to better serve patients.

Developing research capacity in health informatics and data science is a priority area for the UK’s National Institute for Health Research (NIHR), and staff contribute expertise to the NIHR Academy’s Research Methods Incubator. With us, you will be actively involved in listening to, and informing, the informatics and data science agenda for health.

You will benefit from our location too. The Leeds Teaching Hospitals NHS Trust is the largest UK hospital Trust. Leeds is also the headquarters for many Department of Health organisations, including NHS Digital and NHS England, who have historically provided guest speakers to the course. Leeds is also home to a thriving digital economy, including leading healthcare technology providers TPP (SystmOne) and EMIS.

Information for international students

We accept a range of international equivalent qualifications. For information contact the Admissions Team.

International students who do not meet the English language requirements for this programme may be able to study our postgraduate pre-sessional English course, to help improve your English language level.

This pre-sessional course is designed with a progression route to your degree programme and you’ll learn academic English in the context of your subject area. To find out more, read Language for Science (6 weeks) and Language for Science: General Science (10 weeks).

If you need to study for longer than 10 weeks, read more about our postgraduate pre-sessional English course.