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The University of Kent, Canterbury, Kent, CT2 7NZ, T +44 (0)1227 764000
Statistics MSc, MPhil, PhD
This is a research programme within the Statistics subject area.
Key facts
- Subject area: Statistics
- Location: Canterbury
- School: School of Mathematics, Statistics and Actuarial Science
- Duration: MSc one year full-time or two years part-time, MPhil two years full-time or three years part-time, PhD registration three to four years full-time or five to six years part-time.
- Start: At any time but preferably in September.
- Fees: More info
- Entry requirements: A 1 or 2.1 in a relevant subject. Please also check our general entry requirements (including English language requirements).
Outline
Staff research interests are diverse, and include: Bayesian statistics; bioinformatics; biometry; ecological statistics; epidemic modelling; medical statistics; nonparametric statistics and semiparametric 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 main stream 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), which is a joint venture between several institutions. A BBSRC grant supports stochastic modelling in bioscience.
Programme structure
For further information see the School site.
Funding
Every school at Kent offers one or two University postgraduate research scholarships, each available for three years, providing fees at the home/EU rate and a stipend up to £13,590 per annum (2011/12 rate).
Many schools offer scholarships in the form of Graduate Teaching Assistantships (GTAs) whereby postgraduate research students receive financial support in return for teaching. The value of awards may vary, but often cover tuition fees at the home/EU rate and a substantial maintenance grant.
All postgraduate research students are eligible to apply for GTAs. See Graduate Teaching Assistantships.
PhD funding is largely through the EPSRC, which provides awards through a doctoral training grant to UK and EU students. CASE awards are sometimes available for students working in collaboration with industry, as well as occasional grants from other Research Councils.
The School of Mathematics, Statistics and Actuarial Science has established a bursary scheme to support students who wish to study on the Statistics MSc programme. The School will award bursaries between £500 and £1,500. All applicants who accept a place on the above course will automatically be considered for a bursary.
Overseas and home/EU fee-paying students are all eligible. There is no formal closing date, but we recommend you apply for your chosen programme before the end of July 2012.
We anticipate that EPSRC funding will be available to support home/EU students on the MSc in Statistics in 2012/13.
For further details of postgraduate funding, see Postgraduate funding.
Further information:
Resources and facilities
Kent's Computing Service central facility runs Windows. Within the School, postgraduate students can use a range of UNIX servers and workstations.
Packages available include R, SAS, MATLAB, SPSS and MINITAB.
Further information:
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.
Staff
Dr Diana Cole, Dr Owen Lyne, Dr Rachel McCrea, Professor Byron Morgan, Professor Martin Ridout.
Bayesian statistics
Current work includes non-parametric Bayes, inference robustness, modelling with non-normal distributions, model uncertainty, variable selection and functional data analysis.
Staff
Professor Philip J Brown, Dr James Griffin, Professor Stephen Walker, Professor Jian Zhang.
Bioinformatics, statistical genetics and medical statistics
Research covers bioinformatics (eg DNA microarray data), involving collaboration with the School of Biosciences. Other interests include life testing, population genetics, clinical trials and survival analysis.
Staff
Professor Philip J Brown, Dr Vasileios Giagos, Dr James Griffin, Dr Alfred Kume, Professor Byron Morgan, Professor Martin Ridout, Professor Jian Zhang.
Nonparametric statistics
Research focuses on empirical likelihood, highdimensional 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.
Staff
Dr Lothar Breuer, Dr Efang Kong, Dr James Griffin, Professor Stephen Walker, Dr Xue Wang, Professor Jian Zhang.
Show all
|Staff research
Professor Philip Brown: Professor of Statistics
Multivariate analysis; medical statistics; Bayesian methods; chemometrics; electoral prediction and polling.
Dr Eryl Bassett: Honorary Senior Lecturer in Statistics
Theory of inference; life testing; applied statistics; statistical computing.
Dr Lothar Breuer: Reader in Statistics
Stochastic processes; queueing theory; risk theory; Markov-additive processes.
Dr James Griffin: Senior Lecturer in Statistics
Bayesian nonparametric modelling; high frequency financial data analysis; regression with many explanatory variables; MCMC.
Dr Efang Kong: Lecturer in Statistics
Semi and non-parametric modelling and related subset selection; robust regression and Bahadur representation; empirical likelihood.
Dr Alfred Kume: Lecturer in Statistics
Shape analysis; directional statistics; image analysis.
Dr Alexa Laurence: Lecturer in Statistics
Medical statistics and applied statistics.
Dr Owen Lyne: Lecturer in Statistics
Stochastic epidemic models; applied probability; simulation; statistical inference; goodness of fit; branching processes; martingales; medical education.
Professor Byron Morgan: Professor of Applied Statistics
Biometry; cluster analysis; stochastic population processes; psychological applications of statistics; multivariate analysis; simulation; analysis of quantal assay data; medical statistics; ecological statistics; over-dispersion; estimation using transforms.
Professor Martin Ridout: Professor of Applied Statistics
Analysis of discrete data in biology; generalised linear models; overdispersion; stochastic models; transform methods.
Professor Stephen Walker: Professor of Statistics
Bayesian inference; Bayesian nonparametric methods; time series; survival analysis; MCMC; matrix algebra.
Dr Xue Wang: Lecturer in Statistics
Nonparametric regression; multiscale methods.
Professor Jian Zhang: Professor of Statistics
Semi and non-parametric statistical modelling; statistical genetics with medical applications; Bayesian modelling; Mixture Modesl; neuroimaging.
Further information:
Contact details
Admissions enquiriesT: +44 (0)1227 827272
E: information@kent.ac.uk
School of Mathematics, Statistics and Actuarial Science,
Cornwallis Building,
University of Kent,
Canterbury, Kent
CT2 7NF, UK
Martin Ridout
T: 44 (0)1227 827857
E: stat-admiss@kent.ac.uk
Research programme
Dr Lothar Breuer
T: +44 (0)1227 824789
E: imspg-admiss@kent.ac.uk
Further information: