UCL Institute of Health Informatics


Postgraduate taught

Our postgraduate taught degrees are at the cutting-edge of health informatics and data science.

Why UCL?

  • UCL is winner of The Times and Sunday Times University of the Year 2024
  • UCL is rated 9th in the QS World Rankings 2024
  • UCL is ranked 6th in the world for Public Health (ShanghaiRanking’s 2023)
  • UCL is No.1 for research power and impact in medicine, health and life sciences (REF 2021)
  • The UCL Institute of Health Informatics use data to develop a better understanding of preventing disease and improving patient outcomes
  • Our students are closely integrated into our community through research-embedded teaching

Browse our programmes

For full programme information including modules, contact details, fees and entry requirements please visit the prospectus pages:

Register your interest

Attend an upcoming open day 

EventDate Time
Health Informatics MSc Virtual Q&ATuesday 20 February 202413:00 - 14:00
Health Data Science MSc  Virtual Q&AWednesday 28 February 202414:00 - 14:30

Book your place

Careers and employability

Below are some examples of career pathways you could aim towards after your degree. However, career prospects between the three programmes may overlap and will depend on the student's module and dissertation choices.

  • Health Informatics students have gone on to have careers in IT management, NHS organisations, tech companies, policy organisations or consultancies.
  • Health Data Science students have gone on to have careers in health technology companies, pharmaceutical companies, or consulting organisations.
"I had the opportunity to carry out my master's thesis at IQVIA, where I got contact with real-world data. This allowed me to see the labour market in a new light and also placed me in a strong position to join the Graduate Programme in Data Science & Artificial Intelligence at AstraZeneca." Daniel Fernández, IHI Alumnus, Graduate Data Scientist in a biopharmaceutical company
"I've undertaken the Health Informatics MSc course at UCL while working. One of the things I've enjoyed was the flexibility of the "working" students and the diversity of the program. Participating in this program allowed me to connect with other professionals which opened up new career opportunities for me." Maria Xenou, IHI Alumna, Lead of Research and Evaluation in a digital healthcare company

What our students and alumni say 

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"My fellow students and I still meet up even now. It's fantastic to build a network of contacts working in data-driven health research all with fascinating jobs straight of the back of that MSc course". Emma Colliver, Health Data Science

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"The best thing about being on the MSc programme in Health Informatics, was the relentless efforts made by UCL staff to support their students. As an international student, I particularly found the module tutors amazing when providing feedback and guidance. They will not hesitate to walk you through any challenging lessons." Bernard Nsha, Health Informatics 

Funding your studies

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.


Health Informatics MSc 

What qualification can I get?

Masters, diploma, certificate, single module.

Who joins the programme?

Mainly people working, often in the NHS, in IT or in clinical roles. 

What kinds of challenges does the programme address?

How can digital technology improve the organisation and delivery of healthcare.

What practical skills do you learn?

Python programming, UML modelling, risk analysis methods.

Example of a project I could work on

Assessing the impact on primary care services of a digital intervention designed to relieve pressure on A&E services.

Health Data Science MSc

What qualification can I get?

Masters, diploma, certificate, single module.

Who joins the programme?

Full time or part-time students with a first degree in a quantitative subject or medicine.

What kinds of challenges does the programme address?

How can we use a wide variety of health data from different sources to improve our understanding of health problems.

What practical skills do you learn?

Python programming, relational databases, machine learning, advanced statistics.

Example of a project I could work on 

Analysing large and complex datasets to identify differences in how patients respond to new drugs.

Register your interest

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