Areas for PhD supervision include:
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.
Duration: Full time: 3-4 years. Part time: Up to 7 years
Entry Requirements: 2.1 undergraduate degree (or equivalent) in a discipline with substantial mathematical content or an undergraduate degree with integrated Masters
English Language: IELTS 6.5 (with no less than 6.5 in all components)
Location of Study: University of Warwick
Home/EU: £4,191 per year (estimated)
Overseas: £20,730 per year
Part time: (Part time fees are charged over first 2 years of study)
Home/EU: £2,515 per year (estimated)
Overseas: £12,438 per year