Statistics (Research)

Overview

Research interests are diverse and include: Bayesian statistics; bioinformatics; biometry; ecological statistics; epidemic modelling; medical statistics; nonparametric statistics and semi-parametric modelling; risk and queueing theory; shape statistics.

Statistics at Kent provides:

• a programme that gives you the opportunity to develop practical, mathematical and computing skills in statistics, while working on challenging and important problems relevant to a broad range of potential employers
• teaching and supervision by staff who are research-active, with established reputations and who are accessible, supportive and genuinely interested in your work
• advanced and accessible computing and other facilities
• a congenial work atmosphere with pleasant surroundings, where you can socialise and discuss issues with a community of other students.

The School has a strong reputation for world-class research and a well-established system of support and training, with a high level of contact between staff and research students. Postgraduate students develop analytical, communication and research skills. Developing computational skills and applying them to mathematical problems forms a significant part of the postgraduate training in the School. We encourage all postgraduate statistics students to take part in statistics seminars and to help in tutorial classes.

Careers

Students of the Statistics (Research) programme from University of Kent often go into careers as professional statisticians in industry, government, research and teaching but our programmes also prepare you for careers in other fields requiring a strong statistical background. You have the opportunity to attend careers talks from professional statisticians working in industry and to attend networking meetings with employers.

Our graduates have started careers in diverse areas such as the pharmaceutical industry, financial services and sports betting.