Our online MSc in Statistics for Clinical trials will develop your knowledge and know-how of statistics in clinical trials.
To find out more detailed information about this degree, visit the UCL prospectus site
We recommend that you submit your application as soon as possible. The process will close as soon as the programme is full or by 29th July 2022
In the following video, you'll hear from the course director about what makes this MSc unique.
- Students learn about the main statistical tools and principles used in clinical trials.
- Teaching is delivered by statisticians with expertise in many different areas of applied and theoretical statistics.
- All types of trial designs, from the relatively simple to complex adaptive designs, are considered. All trial phases will be covered, as well as all types of interventions from simple to complex interventions.
Graduates with UK degrees, or an overseas qualification of an equivalent standard, in a related quantitative discipline (e.g. mathematics, statistics, biostatistics, genetics, computational biology) and health professionals (e.g. clinicians). Clinicians and other allied health professionals are required to have a degree (for example, an MBBS) and evidence of having completed quantitative modules, as well as a keen interest in medical statistics.
Statistics is a key tool in clinical trials, which are essential in discovering whether new healthcare interventions improve the lives of patients. Statistics is used at the design stage to compare possible designs, calculate the sample size, and at all stages of the trial until the final analysis and reporting of results.
This online programme will provide an excellent grounding in statistics for clinical trials. Frequentist as well as Bayesian statistics will be covered. You will learn about all types of trials, from early to late phase trials, and from simple to complex interventions. This will be both from a design and analysis perspective. In addition, you will learn to code in R and STATA.
Graduates of this programme will be prepared to pursue careers in academic or industry sectors, or further study to PhD level. Clinicians taking this programme will be equipped to be involved in Clinical Trials and fully engage with statisticians.
Students undertake modules to the value of 180 credits.
The programme consists of seven core modules (120 credits), and a dissertation/report (60 credits)
A Postgraduate Diploma, consisting of seven core modules (120 credits) and available for full-time and part time study.
Upon successful completion of 180 credits, you will be awarded a MSc in Statistics for Clinical Trials. Upon successful completion of 120 credits, you will be awarded a PG Dip in Statistics for Clinical Trials.
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.
All modules, except where indicated, are worth 15 credits.
- Further Trial Designs and Outcomes
- Introduction to Clinical Trial Designs and Statistical Analysis (30 credits)
- MSc Clinical Trials - Research Project and Dissertation
- Health Economics in Clinical Trials
- Meta Analysis in Clinical Trials
- Statistical Coding in Clinical Trials
- Statistical Inference and Models in Clinical Trials
- Advanced Clinical Trials Statistics
How is the programme delivered?
The programme is delivered entirely online through a combination of lectures, seminars, workshops, tutorials, online resources and practical work. Assessment is through online examinations and assignments (for example, essays, abstracts, background section of a protocol, critical analysis of published work, patient information and communication plans) and the dissertation/report.
Full Time students are expected to attend online classes both on Tuesdays & Thursdays. Part-time students will study in the following manner. In year 1, they will take the modules for which the live lectures are on Tuesdays (Introduction to Clinical Trial Designs and Statistical Analysis, Further Trial Designs and Outcomes, Health Economics in Clinical Trials), and in year 2 they will take the modules for which the live lectures are on Thursdays (Statistical Inference and Models in Clinical Trials, Statistical Coding in Clinical Trials, Advanced Clinical Trials Statistics, Meta Analysis in Clinical Trials). They will also write their dissertation in term 3 (i.e. summer term) of year 2.
The fee for this online programme is £14,700 (UK/EU/Overseas). UCL offers a number of scholarships to support your studies, please click here to see if you're eligible to apply for one. In particular, for students from Low- or Middle-Income Countries we are pleased to offer the ICTM scholarship:
English language requirements
If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Good
Further information can be found on our English language requirements page.
Application and Next Steps
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.
This programme requires two references. Further information regarding references can be found in our How to apply section.
There is an application processing fee for this programme of £90 for online applications and £115 for paper applications. Further information can be found at: https://www.ucl.ac.uk/prospective-students/graduate/apply
Who can apply?
The programme is accessible to graduates with UK degrees, or an overseas qualification of an equivalent standard, in a related quantitative discipline (e.g. mathematics, statistics, biostatistics, genetics, computational biology) and health professionals (e.g. clinicians). Clinicians and other allied health professionals are required to have a degree (for example, an MBBS) and evidence of having completed quantitative modules. The MSc is also aimed at professionals working in the field of clinical trials who wish to develop their statistical knowledge and skills further.
What are we looking for?
When we access your application we would like to learn why you want to study Statistics in Clinical Trials at graduate level, why you want to study Statistics in Clinical Trials at UCL, and what you will bring to the course.
Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver:
- what particularly attracts you to the chosen programme
- how your academic and professional background meets the demands of this challenging programme
- where you would like to go professionally with your degree