MSc, MPhil, PhD - Statistics

University of Kent, School of Mathematics, Statistics & Actuarial Science

Program Description

MSc, MPhil, PhD - Statistics

University of Kent, School of Mathematics, Statistics & Actuarial Science

MSc, MPhil, PhD - Statistics

With ongoing activities in areas like biological applications, statistical ecology, and nonparametric statistics, research students joining SMSAS will become part of a thriving and vibrant research community.

There's a well-established system of support and training, with a high level of contact between staff and research students. A very active research seminar programme further enhances the Statistics research experience.

Course structure

Staff 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 has strong connections with a number of prestigious research universities such as Texas A&M University, the University of Texas, the University of Otago, the University of Sydney and other research institutions at home and abroad.

The research interests of the group are in line with the mainstream of statistics, with emphasis on both theoretical and applied subjects.

The group regularly receives research grants. The EPSRC has awarded two major grants, which support the National Centre for Statistical Ecology (NCSE), a joint venture between several institutions. A BBSRC grant supports stochastic modelling in bioscience.

Research areas

Biometry and ecological statistics

Specific interests are in biometry, cluster analysis, stochastic population processes, analysis of discrete data, analysis of quantal assay data, overdispersion, and we enjoy good links within the University, including the School of Biosciences and the Durrell Institute of Conservation and Ecology. A recent major joint research project involves modelling the behaviour of yeast prions and builds upon previous work in this area. We also work in collaboration with many external institutions.

Bayesian statistics

Current work includes non-parametric Bayes, inference robustness, modelling with non-normal distributions, model uncertainty, variable selection and functional data analysis.

Bioinformatics, statistical genetics and medical statistics

Research covers bioinformatics (eg DNA microarray data), involving collaboration with the School of Biosciences. Other interests include population genetics, clinical trials and survival analysis.

Nonparametric statistics

Research focuses on empirical likelihood, high-dimensional data analysis, nonlinear dynamic analysis, semi-parametric modelling, survival analysis, risk insurance, functional data analysis, spatial data analysis, longitudinal data analysis, feature selection and wavelets.


As a guide only, the 2014/15 annual tuition fees for this programme are:

Statistics - MSc by Research at Canterbury:

  • Full-time: £3996 UK/EU; £12450 Overseas
  • Part-time: £1998 UK/EU; £6240 Overseas

Statistics - MPhil at Canterbury:

  • Full-time: £3996 UK/EU; £12450 Overseas
  • Part-time: £1998 UK/EU; £6240 Overseas

Statistics - PhD at Canterbury:

  • Full-time: £3996 UK/EU; £12450 Overseas
  • Part-time: £1998 UK/EU; £6240 Overseas

Key facts

  • Subject area: Statistics
  • Award: MSc, MPhil, PhD
  • Course type: Research
  • Location: Canterbury
  • Mode of study: Full-time or part-time
  • Attendance mode: Campus
  • Duration: MSc one year full-time, two years part-time; MPhil two years full-time, three years part-time; PhD three to four years full-time, five to six years part-time
  • Start: September
This school offers programs in:
  • English
Duration & Price
This course is Campus based
Start Date
Start date
Aug. 2017
1 - 6 years
Part time
Full time
Start date Aug. 2017
United Kingdom Canterbury, England
Application deadline Request Info
End date Request Info
Duration 1 - 6 years
Price Request Info