As more and more data becomes available electronically, the demand for skilled and trained individuals to take advantage of it becomes increasingly urgent.
Health data analytics involves extracting insights from health data, either to shape national policy, manage local organisations or inform the care of an individual. As more and more data becomes available electronically, the demand for skilled and trained individuals to take advantage of it becomes increasingly urgent.
- Learn about mathematical and statistical approaches to understanding health data
- Learn how health data is collected, represented, stored and processed
- Gain detailed practical experience of working with health data and the specific challenges and responsibilities that it entails
To find out more information about this degree, such as entry requirements, programme length and cost, visit the UCL prospectus webpage. To hear from our current and former students, visit the study page.
Applications for 2022/23 will remain open from 18th October 2021 to 31st March 2022.
About the course
As a student on the MSc Health Data Analytics, you will learn about mathematical and statistical approaches to understanding health data, including operational research, machine learning and health economics. You will also learn the fundamentals of how health data is collected, represented, stored and processed, as well as how to analyse it effectively and how best to present analyses to have an impact on decisions.
Why study with us?
- This programme has been designed in conjunction with the NHS to meet an identified shortage of skilled analysts. The aim is to provide a unique educational experience which not only prepares you for a technical role in analysis but equips you to take on senior roles in NHS organisations.
- Health data analysts are employed in interesting and challenging roles in healthcare organisations, government agencies and commercial organisations, including IT suppliers, consultancy organisations and pharmaceutical companies.
- Our programme is delivered by a unique team, including mathematicians, computer scientists and statisticians with expertise in the analysis of health data in a variety of forms and for a variety of purposes.
Upon graduation, you will be skilled in the use of mathematical and statistical techniques for the manipulation and analysis of data. Health data analysts are employed by NHS England in a variety of roles, notably within NHS Improvement, assessing policy proposals and evaluating the economic or financial suitability of initiatives. Consultancy organisations providing services to the health sector also employ analysts, as do data and IT organisations. There are also roles in pharmaceutical companies.
Please note that the list of modules given here is indicative. This information is published a long time in advance of enrolment and module content and availability is subject to change.
- Health Analysis Principles (CHME0030)
- Statistical Methods for Health Data Analytics
- Dissertation in Health Data Analytics (CHME0020)
Students choose five of the following:
- Research Methods in Healthcare (CHME0003)
- Advanced Statistical Analysis (CHME0029)
- Economic Evaluation in Health Care (GLBH0022)
- Essentials of Informatics for Healthcare Systems (CHME0025)
- Key Principles of Health Economics (GLBH0010)
- Learning Health Systems (CHME0010)
- Machine Learning in Health Care (Blended Learning) (CHME0018)
- Patient Safety (CHME0037)
- Public Health Data Science (CHME0017)
All MSc students undertake an independent research project, normally based at their place of work, which culminates in a piece of work written in the style of a journal article.
Examples of past projects:
- What impact does introducing skills mix have on service quality and provider costs in digital-first primary care provision?
- Homeless patients’ uptake of digital communication technology in the context of remote consultations in UK primary care: A systematic review
- Understanding the economic burden of dengue in India and identifying a viable cost range for a dengue vaccine based on cost effectiveness and budget impact analysis
What degrees are available?
- MSc: 8 modules = 4 compulsory modules (3 + Dissertation) + 5 optional modules.
- PGDip: 8 modules = 3 compulsory modules + 5 optional modules.
- PGCert: 4 modules = 3 compulsory modules + 1 optional module.
How is the programme delivered?
The programme is delivered part-time or modular flexible via blended learning. As such, you will be required to attend three days of face-to-face classes per module. The rest of the module will be taught online on the Virtual Learning Environment.
Tier 4 Visa Students
Please note that this programme might not be eligible for tier 4 visas as it is delivered part-time (2 years) and modular flexible (2 to 5 years).
How is the programme structured?
Part-time Y1 PT Y2 Modular Flexible (up to 5 years) Y1 MF Y2 MF Y3 5 or 6 Modules 2 or 3 optional modules + DISS HAP (C) + 2 or 3 optional modules HAP (C) + 4 optional modules DISS (C) SMHDA (C) DISS (C) SMHDA (C) + 3 or 4 optional modules + 2 optional modules
Part-time Y1 PT Y2 Modular Flexible (up to 5 years) Y1 MF Y2 MF Y3 5 or 6 Modules 2 or 3 optional modules HAP (C) + 2 or 3 optional modules HAP (C) + 4 optional modules SMHDA (C) SMHDA (C) + 3 or 4 optional modules + 2 optional modules OR: OR: HAP (C) + 4 optional modules HAP (C) + 3 optional modules + 2 optional modules SMHDA (C) SMHDA (C) + 2 optional modules + 1 optional modules
- C= Compulsory
- PG Cert
Part-time Y1 PT Y2 Modular Flexible (up to 5 years) Y1 MF Y2 MF Y3 4 Modules HAP (C) HAP (C) + 4 optional modules SMHDA (C) SMHDA (C) + 2 optional modules + 2 optional modules OR: OR: HAP (C) + 2 optional modules HAP (C) + 2 optional modules SMHDA (C) SMHDA (C)
- C= Compulsory