Dr Russell Evans
Tel: +44 (0)20 7679 8311
Fees and funding
Full details of funding opportunities can be found on the UCL Scholarships website
Research Assessment Rating
50% rated 4* (world-leading) or 3* (internationally excellent)
(What is the RAE?)
The programme information on this page relates to 2013 entry. 2014 content to appear here shortly.
Statistical science skills are powerful tools that play a valuable role in all pure and applied sciences as well as in finance, law and marketing. New and exciting opportunities in industry, medicine, government commerce or research await the graduate who has gained the quantitative skills training provided by this MSc.
What will I learn?
The programme uses a broad-based approach to statistics, providing up-to-date training in the major applications and an excellent balance between theory and application. It covers modern ideas in statistics including applied Bayesian Methods, generalised linear modelling and object-oriented statistical computing, together with a grounding in traditional statistical theory and methods.
Why should I study this degree at UCL?
One of the strengths of Statistical Science at UCL 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.
London provides an excellent environment in which to study statistical science, being the home of the Royal Statistical Society as well as a base for a large community of statisticians, both academic and non-academic.
The Statistics MSc has been accredited by the Royal Statistical Society. Graduates will automatically be granted the Society's Graduate Statistician status on application to the Society.
See subject website for more information:
Availability: Full-time 1 year; Part-time 2 years
Students undertake modules to the value of 180 credits. The programme consists of a foundation module, four core modules (60 credits) four optional modules (60 credits) and a research dissertation (60 credits).
All MSc students undertake an independent research project, culminating in a dissertation of 10,000–12,000 words. Workshops provide preparation for this project, and run during the teaching terms, and cover the communication of statistics e.g. the presentation of statistical graphs and tables.
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.
Further details available on subject website:
Entry and application
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.
For overseas equivalencies see the relevant country page.
How to apply
You may choose to apply online or download application materials; for details visit www.ucl.ac.uk/gradapps
The deadline for applications is 15 March 2014. 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 statistical theory and applications to enable them to enter specialist employment or academic research.
What are we looking for?
When we assess your application we would like to learn:
- why you want to study Statistics at graduate level
- why you want to study 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
A number of previous graduates have entered professional employment across a broad range of industry sectors or have pursued further academic study.
Recent examples of previous graduate destinations include:
- Mann Investments, Qunatitative Research Associate, 2009
- Proctor & Gamble, Statistician, 2011
- MVA Consultancy, Principal Consultant, 2010
- JP Morgan, Credit Analyst, 2011
- UCL, PhD Statistical Science, 2011
Find out more about London graduates' careers by visiting the Careers Group (University of London) website: