Entry requirements

2:1 undergraduate degree (or equivalent) in a discipline with substantial mathematical content or an undergraduate degree with integrated Masters.

Months of entry

October

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

Department specialisms

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

English Language requirement: IELTS 6.5 (with no less than 6.5 in all components), Band A. For more guidance on English language requirements please visit this page.

Fees and funding

UK students
£4,270 (full-time)
International students
£17,050 (full-time)

For more information on funding please visit our Postgraduate fees and funding page.

Qualification and course duration

MPhil/PhD

full time
36-48 months
part time
84 months

Course contact details

Name
Postgraduate Admissions
Email
pgadmissions2@warwick.ac.uk
Phone
+44 (0)24 7652 4585