• Public and Media Engagement • Impact of Research • Leadership and Project Management • additional core and specialist methodological material.


There will also be extensive opportunities to practice the implementation of these skills through organised activities within STOR-i. Over and above standard research support, you will have access to substantial funds, through an internal competition, to support your research through extended visits.


RESEARCH AREAS The Department has two main areas of research:


Statistics Pure Mathematics


Statistics


MRes Taught courses are delivered via five core lectured modules and a choice of two optional modules from a diverse range of topics. An additional training module will aim to develop a versatile skill set including advanced problem-solving, programming and teamwork plus a broad range of presentation/dissemination skills. Our industrial partners will play an active role in all aspects of the course.


The final three months of the MRes year will be dedicated to exploring a research area selected by you. In particular you will identify your research agenda, develop some of the required research skills, and experience working with your intended PhD supervisor. This will ensure that you have sufficient background knowledge about your project before you undertake the 3-year PhD.


Compulsory Modules Probability and Stochastic Processes Optimisation Likelihood Inference


System Modelling and Simulation Bayesian Inference


Computational Intensive Methods


Optional Modules Environmental Epidemiology- Spatial Statistics Extreme Value Theory Forecasting Logistics


Longitudinal Data Analysis SAS for Data Analysis and Modelling Survival and Event History Analysis Data Mining for Marketing, Sales and Finance


PhD


Having developed your research agenda in the first year, you will spend the remaining three years working on your PhD project guided by appropriate supervisory teams. Approximately two thirds of the projects will have direct industrial involvement with joint supervision provided by an industrial collaborator. Regular industry visits will provide experience working within the research team of the industrial partner. During your PhD you will also participate in a range of further training to develop other transferable skills including:


200 Science and Technology


Dr Damon Berridge, Dr Deborah Costain, Dr Emma Eastoe, Dr Idris Eckley, Prof Paul Fearnhead, Prof Brian Francis, Prof Kevin Glazebrook, Dr Gill Lancaster, Dr Kanchan Mukherjee, Dr Juhyun Park, Dr Gareth Ridall, Dr Chris Sherlock, Prof Jon Tawn, Dr Amanda Turner, Prof Anne Whitehead, Prof John Whitehead, Dr Joe Whittaker. The Statistics Group is interested in the development of novel statistical models and methods motivated by applied problems, with particular emphasis on environmental, biomedical and social sciences. Methodological strengths include spatial statistics, computationally intensive methods, time series modelling, extreme value methods, graphical modelling of multivariate data, survival analysis, statistical genetics; methods for the design and analysis of clinical trials; mathematical aspects of OR and stochastic modelling. There is a strong emphasis on the interface between theory and application, and the group has close research links with other University departments, hospitals, pharmaceutical companies and research institutes, both within the UK and overseas.


Pure Mathematics


Prof Steve Power, Prof Gordon Blower, Dr Alex Belton, Dr Daniel Elton, Dr Niels Laustsen, Prof Martin Lindsay, Dr Nadia Mazza, Dr David Towers, Dr Paul Levy. Most members of the section work in Modern Analysis while David Towers, Paul Levy and Nadia Mazza work in Algebra. Much of the analysis is inspired by Mathematical Physics; there are also connections with probability theory. Specific topics include nonselfadjoint operator algebras and subalgebras or C*-algebras; Banach algebras and K-theory; random matrix theory and operator semigroups; dilation theory and noncommutative probability; PDEs and spectral theory; analytic number theory and classical inequalities; Lie algebras and representation theory. Through research collaborations, the section has strong connections with groups in other European countries, North America and India.


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