

Statistics for Clinical Trials MSc
- Time investment
- 1 year full-time
- Location
- Online
- Cost
- £18,400
- Language
- English
About this degree
Unlock career opportunities in clinical research as a qualified statistician
The use of statistics in clinical trials is expanding amongst healthcare professionals, researchers, and data scientists. Having the right analytical and statistical skills will allow you to stand out in this competitive field.
Learn how to effectively design, conduct, and evaluate clinical research using advanced statistical methods with this online degree from University College London.
On this programme, you’ll gain expertise in designing robust clinical trials, including advanced trial designs, data interpretation, and systematic review methods.
Apply advanced statistical analysis techniques
Develop proficiency in statistical analysis, including foundational and advanced techniques crucial for accurate data interpretation in clinical trials.
This includes statistical inference, which allows you to draw accurate conclusions from clinical trial data, and meta-analysis, which combines results from multiple studies to assess overall evidence and draw robust conclusions.
You’ll also delve into health economics, an essential aspect of assessing the cost-effectiveness of healthcare interventions within clinical trials.
Upskill in statistical coding software, R and Strata
Learn to code and analyse clinical trial data using leading statistical software tools like R and Stata.
These powerful programs will enable you to manage large datasets, perform complex statistical analyses, and create reproducible research workflows, making you a valuable asset in any clinical research team.
Become a statistician with the experts at UCL
In joining this degree, you’ll learn from the expertise of UCL’s world-renowned faculty, who bring a wealth of applied experience and theoretical knowledge in clinical trials, statistics, and health research.
Throughout the course, you’ll utilise real trial examples and the latest methodological developments in clinical trial statistics based on UCL’s own publications.
Where you’ll be studying

Studying at UCL
UCL was founded in 1826. It was the first English university established after Oxford and Cambridge, and the first to open up university education to those previously excluded from it.
Learning outcomes
Master advanced clinical trial designs, data interpretation, and systematic review methods.
Gain foundational knowledge in trial design, patient allocation, and statistical analysis.
Apply health economic principles and analysis techniques within clinical trial contexts.
Perform meta-analyses using advanced statistical models and assess study heterogeneity.
Develop proficiency in R and Stata for coding and analysing clinical trial data.
Understand and apply key statistical models and hypothesis testing in clinical trials.
Explore complex trial designs, sample size calculations, and advanced statistical methods.
Conduct independent research and effectively communicate findings through a dissertation.
Find out more about this degree
Additional information
Clinicians and allied health professionals must possess a degree, such as an MBBS, and demonstrate completion of quantitative modules, along with a strong interest in medical statistics.
If you’re an international student, you can find country-specific information, including qualification equivalencies on UCL’s website directly.
UCL offers additional English language support through its Pre-Master's and Pre-sessional English courses, specifically designed for those interested in postgraduate study at UCL.
You can expect to devote approximately 20-25 hours per week for full-time study and around 10-12 hours per week for part-time study to meet the demands of the course.
The overall contact and self-directed study hours are 150 hours for a typical 15-credit module which includes approximately three hours of live online seminars per week.
- Statistician in Clinical Trials
- Biostatistician
- Academic Researcher
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