Research course


University of Warwick · Department of Statistics

Entry requirements

2:i undergraduate degree (or equivalent) in a discipline with substantial mathematical content or an undergraduate degree with integrated Master's

Months of entry


Course content

Statistical Theory and Methods: Probability and Financial Mathematics; Probability Theory; Random Processes; Stochastic Analysis; Bayesian Statistics; Computational Statistics; Statistical Analysis of Big and Small Datasets; Multivariate and High Dimensional Data; Biostatistics; Medical Statistics; Mathematical Finance; Environmental Modelling; Game Theory; Bayesian Decision Theory; Applications of Probability in Finance and Economics; Time Series; Spatial Statistics; Brownian Motion; Branching Processes; Stochastic Processes; Statistical Mechanics; Bayesian Methods; Likelihood Methods; Computational Statistics; Time Series Methods and High-Dimensional Statistical Models.

Probability Theory and Applications: Exponential Functionals of Brownian Motion; Random Matrix Theory; Stochastic Geometry and Networks; Random Fractals; Financial Stochastic Calculus; Interacting Systems and Image Analysis; Stochastic Control; Perfect Simulation; and Levy Processes.

Information for international students

For guidance on English language requirements, please visit this page:

Fees and funding

UK students
International students

There are several funding opportunities available for students applying for this course. These include external awards, wider University awards and departmental scholarships. Details can be found here:

Qualification and course duration


full time
36-48 months
part time
84 months


part time
84 months
full time
36-48 months

Course contact details

Postgraduate Admissions
+44 (0)24 7652 4585