Health Informatics with Data Science MSc

Year of entry

Postgraduate Virtual Open Day

Wednesday 15 February. Find out more

Start date
September 2023
Delivery type
On campus
Duration
12 months full time
36 months part time
Entry requirements
A bachelor degree with a 2:1 (hons) in a relevant subject e.g. Social Sciences, STEMM, Nursing (or equivalent) OR previous work experience (minimum 2 years) of handling and/or analysing data.
Full entry requirements
English language requirements
IELTS 7.0 overall, with no less than 6.5 in each component
UK fees
£11,750 (total)
International fees
£25,000 (total)

Course overview

Health professionals look at laptop.

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.

Course details

You will study modules totaling 180 credits. These are made up of six core (compulsory) taught modules and a research project, plus two optional modules from a range offered in Health Informatics, Data Science or Health Sciences.

This gives you the opportunity to tailor your study to areas of interest. The Research project will be your opportunity to put what you’ve learned into practice, to work with a supervisor and tailor a project to an area that is relevant to your own personal and professional development. This is a chance to demonstrate focused expertise to transform your career outlook.

Course structure

The list shown below represents typical modules/components studied and may change from time to time. Read more in our terms and conditions.

For more information and a full list of typical modules available on this course, please read Health Informatics with Data Science MSc Full Time in the course catalogue

For more information and a full list of typical modules available on this course, please read Health Informatics with Data Science MSc Part Time in the course catalogue

Year 1 compulsory modules

Module Name Credits
Statistics and Modelling for Health Sciences 15
Foundations of Health Data 15
Human Factors in Health Data Science 15
Informatics and Data Science in Health Care and Research 15
Law, Ethics and Governance for Health Data Science 15
Artificial Intelligence and Machine Learning in Health 15
MSc Health Informatics Project 60

Year 1 optional modules (selection of typical options shown below)

Module Name Credits
Spatial Analytics and Visualisation for Health 15
Health Economics 15

Learning and teaching

Our course is taught through a variety of lectures, practical classes, tutorials, seminars and supervised research projects. We use IT extensively, meaning that materials will be available to support your studies at your own pace and in your own time.

In addition to group learning, you’ll also be able to use University facilities for independent study. These include computing facilities and the Health Sciences library, with its extensive collection of online journals.

On this course you’ll be taught by our expert academics, from lecturers through to professors. You may also be taught by industry professionals with years of experience, as well as trained postgraduate researchers, connecting you to some of the brightest minds on campus.

Assessment

The modules are assessed by a variety of methods including essays, reports and presentations. Your results for every module contribute to your final degree classification.

Applying

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.


Improve your English

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)

We also offer online pre-sessionals alongside our on-campus pre-sessionals. You could study a part-time online course starting in January, or a full-time course in summer. Find out more about online pre-sessionals.

You can also study pre-sessionals for longer periods – read about our postgraduate pre-sessional English courses.

How to apply

Application deadline 31 July 2023 for all applicants.

The link at the top of this page takes you to information on applying for taught programmes and to the University's online application system.

If you're unsure about the application process, contact the admissions team for help.

Documents and information you’ll need

  • Evidence of work experience in supporting statement or CV as specified in entry requirements, if no relevant first degree.
  • References not required as standard, although the programme leader may request a targeted reference on a case basis, especially in instances of non-standard entry
  • If not already present, a CV which covers all relevant work experience in detail will be requested for non-standard applications.
  • A supporting statement is required, covering three question prompts.

Applications are considered on the basis of the applicant’s qualifications and experience. Applications may close before the deadline date if numbers accepted reach capacity.

This course is taught by

School of Medicine

Contact us

School of Medicine Postgraduate Admissions

Email: pgmed-admissions@leeds.ac.uk
Telephone:

Fees

UK: £11,750 (total)

International: £25,000 (total)

Additional cost information

There may be additional costs related to your course or programme of study, or related to being a student at the University of Leeds. Read more about additional costs.

Scholarships and financial support

Career opportunities

This exciting course provides superb training for:

  • graduates looking for an opportunity to specialise in health informatics or health data science
  • health service employees seeking to enhance their careers by gaining skills in data science

Past students have gone on to successful careers in health management, analytics or informatics, with some founding their own businesses in digital health and others continuing their studies with a research degree. Our graduates are employed in a wide range of roles at various levels of seniority, in health, industry, government and NGOs.