Statistics (Medical Statistics) MSc

Medical statistics is a fundamental scientific component of health research. Medical statisticians interact with biomedical researchers, epidemiologists and public health professionals and contribute to the effective translation of scientific research into patient benefits and clinical decision-making. As new biomedical problems emerge, there are exciting challenges in the application of existing tools and the development of new superior models.

Key Information

Modes and duration

  • Full-time: 1 year
  • Part-time: 2 years

Programme start date

19 September 2016

Tuition Fees (2016/17)

£9,020 (FT) £TBC (PT)
£23,020 (FT) £TBC (PT)

Application dates

All applicants
Open: 1 October 2015
Close: 15 March 2016

Entry Requirements

A minimum of an upper second-class Bachelor's degree in a quantitative discipline from a UK university or an overseas qualification of an equivalent standard. Knowledge of mathematical methods and linear algebra at university level and familiarity with introductory probability and statistics is required. Relevant professional experience will also be taken into consideration.

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: Standard

Further information can be found on our English language requirements page.

International students

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.

International applicants can find out the equivalent qualification for their country by selecting from the list below.

Select your country:

Degree Information

The UCL Medical Statistics degree provides students with a sound background in theoretical statistics as well as practical hands-on experience in designing, analysing and interpreting health studies, including trials and observational studies. The taught component equips students with analytical tools for health care economic evaluation, and the research project provides experience in using real clinical datasets.

Students undertake modules to the value of 180 credits.

The programme consists of a foundation course, six core modules (90 credits) two optional modules (30 credits) and the research dissertation (60 credits).

Core Modules

  • Foundation Course (not credit bearing)
  • Statistical Inference
  • Statistical Models and Data Analysis
  • Medical Statistics I
  • Medical Statistics II
  • Statistical Computing
  • Applied Bayesian Methods


  • At least one from:
  • Statistics for Interpreting Genetic Data
  • Bayesian Methods in Health Economics
  • and at least one from:
  • Epidemiology
  • Statistical Design of Investigations


All MSc students undertake an individual research project, culminating in a dissertation of approximately 10,000–12,000 words.

Teaching and Learning

The programme is delivered through a combination of lectures, tutorials and classes, some of which are dedicated to practical work. External organisations deliver technical lectures and seminars where possible. Assessment is through written examination and coursework. The research project is assessed through the dissertation and a 15-minute presentation.

Workshops running during the teaching terms provide preparation for this project and cover the communication of statistics, for example, the presentation of statistical graphs and tables.

Further information on modules and degree structure available on the department web site Statistics (Medical Statistics) MSc


Scholarships relevant to this department are displayed (where available) below. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

Brown Family Bursary - NOW CLOSED FOR 2015/16 ENTRY

£15,000 (1 year)
UK students
Based on both academic merit and financial need

More scholarships are listed on the Scholarships and Funding website


Medical statisticians enable the application of the best possible quantitative methods in health research and assist in the reliable translation of research findings to public and patients’ health care.

The Statistics (Medical Statistics) MSc is a relatively new programme with the first cohort of students graduating in 2012.

Top career destinations for this degree

  • Medical Statistician, GlaxoSmithKline (2011)
  • Statistician, UCL PRIMENT Clinical Trials Unit (2012)
  • Graduate Biostatistician, PRA Health Services (2013)
  • PhD Statistical Science, UCL (2013)


There is an acute shortage of medical statisticians in the UK and employment opportunities are excellent. Recent graduates from this programme have been employed by clinical trials units, pharmaceutical industry, NHS trusts and Universities (e.g. London School of Hygiene and Tropical Medicine, UCL).

Why study this degree at UCL?

One of the strengths of UCL Statistical Science is the breadth of expertise on offer; the research interests of staff span the full range from foundations to applications, and make important original contributions to the development of statistical science.

UCL is linked with four NHS hospital trusts and hosts three biomedical research centres, three clinical trial units and an Institute of Clinical Trials and Methodology. Established networks of clinicians and scientists provide high-quality biomedical projects for Master's students and opportunities for excellent postgraduate teaching and medical research.

The programme has been accredited by the Royal Statistical Society. Graduates will automatically be granted the society's Graduate Statistician status on application.

Student / staff ratios › 50 staff including 15 postdocs › 46 taught students › 57 research students

Department: Statistical Science

Degree reviews

Staff review

"UCL Statistical Science was the first independent statistics department to be established worldwide. My research focuses on the development and application of Monte-Carlo methods for model calibration. In an era of big data, mathematical models are becoming increasingly challenging, so fitting a model to observations many times requires developing new computational algorithms that will go far beyond standard techniques."

Alexandros Beskos

Statistics MSc and Statistics (Medical Statistics) MSc
UCL Statistical Science
Staff review

"I enjoy teaching, particularly the opportunity to engage with graduate students in statistical science and to help them become more confident and interested in this branch of mathematics. I work on a variety of applied and methodological projects in biostatistics. On the applied side, I contribute statistical expertise to collaborative projects in medical science, such as clinical trials, and large cohort studies in areas such as rheumatology, ophthalmology and neuroscience."

Aidan O'Keefe

Statistics MSc, Statistics (Medical Statistics) MSc, Drug Discovery and Development MSc
UCL Statistical Science

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.

Who can apply?

The programme is accessible to students with first degrees in a quantitative discipline, (such as mathematics, statistics, physics, chemistry, biology, computer science, engineering or economics) who wish to gain advanced training in medical statistical theory and applications in order to enter specialist employment or academic research.

Application deadlines

All applicants
15 March 2016

For more information see our Applications page.

Apply now

What are we looking for?

When we assess your application we would like to learn:
  • why you want to study Statistics (Medical Statistics) at graduate level
  • why you want to study Statistics (Medical Statistics) at UCL
  • what particularly attracts you to this programme
  • how your academic background meets the demands of this programme
  • where you would like to go professionally with your degree
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.


  • Register interest in your chosen subjects
  • Receive notice of graduate open days, events and more
Register now

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