University College London
Faculty of Mathematical and Physical Sciences
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.
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.
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.
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).
Foundation Course (not credit bearing)
Statistical Models and Data Analysis
Statistical Design of Investigations
Applied Bayesian Methods
Medical Statistics 1
Medical Statistics 2
Stochastic Methods in Finance
Advanced Topics in Statistics
Stochastic Methods in Finance 2
All MSc students undertake an independent research project, culminating in a dissertation of 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.