University of Nottingham
Statistics and Probability
Research carried out in this group falls into 4 categories: Applied and theoretical probability: mathematical finance; stochastic analysis and diffusions on manifolds; semi-Markov processes; probability inequalities; limit theorems under dependence; stochastic optimal control; Markov decision processes; ion channel models. Epidemic modelling: developing and analysing stochastic epidemic models; statistical inference for infectious disease data. Shape and image analysis: high-level Bayesian image analysis; medical image analysis; spatio-temporal modelling; texture analysis; nonparametric inference in shape analysis. Statistical theory and computation: asymptotic techniques; Bayesian inference; nonparametric methods including empirical likelihood and the bootstrap; saddlepoint approximations; spatial statistics; Markov chain Monte Carlo methods; Laplace transform-based inference; inference for ordinary and stochastic differential equations.
Upper 2nd Class Honours degree in mathematics (or mathematics related subject) or its equivalent. International research students need to achieve an IELTS score of 6.5 with no less than 6.0 in each element.
Postgraduate students are encouraged to participate in the many School research-related activities, and attend appropriate national and international conferences. We also offer a diverse range of research seminars, which you are welcome to attend. Research students also have access to specialised mathematical training courses such as those provided by the Academy for PhD Training in Statistics (APTS) or the Mathematics Access Grid Conferencing (MAGIC) group who run courses using videoconferencing technology.
|Qualification||Study mode||Fee||Course duration|
|PhD||Full-time||£ 3,980 per Academic year (home fees)||3 years|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|University Park Campus||Nottingham||NG7 2RJ||East Midlands|
Postgraduate Enquiry Team
0115 951 3847