UCL (University College London)

Course Introduction

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 programme.

Course Modules

Core modules: Foundation course (not credit bearing); statistical models and data analysis; statistical design of investigations; statistical computing; applied Bayesian methods. Options: Decision and risk; stochastic systems; forecasting; statistical inference; medical statistics i; medical statistics ii; stochastic methods in finance i; stochastic methods in finance ii; factorial experimentation; selected topics in statistics; Bayesian methods in health economics; quantitative modelling of operational risk and insurance analytics.

Course Additional Entry

A minimum of an upper 2nd Class Honours 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.

Duration & Attendance Qualification Tuition fees Fee type
1 year
Full Time
MSc (Postgraduate) £23,020 ???abroad???
1 year
Full Time
MSc (Postgraduate) £9,020 ???home???
2 years
Part Time
MSc (Postgraduate)