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Postgraduate taught
On this page discover:
Why UCL? | Browse our programmes | Upcoming events | Meet our Programme Leads | Careers and employability | What our students and alumni say | Funding | Frequently asked questions | Register your interest
Browse our programmes
For full programme information including modules, contact details, fees and entry requirements please visit the prospectus pages:
Upcoming events
| Event | Date | Time | Location | |
|---|---|---|---|---|
UCL Institute of Health Informatics | Master's Degrees Open Event Participating programmes:
| Tuesday 26 November 2024 | 2 - 3pm | Online event | Book your place |
Meet our Programme Leads
- Health Data Science MSc
This programme is led by Dr Holger Kunz.
- Health Informatics MSc
This programme is led by Prof Paul Taylor.
- Artificial Intelligence Enabled Healthcare MRes
This programme is led by Dr Kezhi (Ken) Li.
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
"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
"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.
FAQs
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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