PhD in Statistics 36 months PHD Programme By The University of Warwick |TopUniversities
Subject Ranking

# =33QS Subject Rankings

Programme Duration

36 monthsProgramme duration

Main Subject Area

Statistics and Operational ResearchMain Subject Area

Programme overview

Main Subject

Statistics and Operational Research

Degree

PhD

Study Level

PHD

The Department of Statistics offers PhD supervision in these areas: 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  

Programme overview

Main Subject

Statistics and Operational Research

Degree

PhD

Study Level

PHD

The Department of Statistics offers PhD supervision in these areas: 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  

Admission Requirements

6+
3+

Jan-2000

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

More programmes from the university

PHD Programmes 664