First Class undergraduate degree (or equivalent) in a discipline with substantial mathematical content and a distinction at MSc, or a First Class undergraduate degree with integrated Masters.
Months of entry
Our Oxford-Warwick Programme is run jointly between our Department of Statistics and the University of Oxford.
Offered through a Centre for Doctoral Training, it gives you the opportunity to focus on the theory, methods and applications of Statistical Science for 21st century data-intensive environments and large-scale models. It is the first centre of its type in the world, designed to equip you for a career in both academia and industry.
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 7.0 (with no less than 6.5 in all components), Band B. For more guidance on English language requirements please visit this page.
Fees and funding
For more information on funding please visit our Postgraduate fees and funding page.
Qualification and course duration
Course contact details
- Postgraduate Admissions
- +44 (0)24 7652 4585