Research course

Statistics (Research)

University of Kent · School of Mathematics, Statistics and Actuarial Science
PhDMPhilMSc by research

Entry requirements

A 1 or 2.1 in a relevant subject.

Months of entry


Course content

The Statistics Group is forward-thinking, with varied research, and received consistently high rankings in the last two Research Assessment Exercises.

In 2011, we updated our MSc in Statistics and introduced a new MSc in Statistics with Finance. Research projects have a good blend of theory and applications. We encourage all postgraduate Statistics students to take part in statistics seminars and to help in tutorial classes.

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 and location, where you can socialise and discuss issues with a community of other students.

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.

Department specialisms

Biometry; Bayesian Statistics; Bioinformatics, statistical genetics and medical statistics; Nonparametric statistics

Information for international students

For detailed information see our English language requirements web pages. Please note that if you are required to meet an English language condition, we offer a number of pre-sessional courses in English for Academic Purposes through Kent International Pathways. See

Fees and funding

Please visit our

funding web pages

for the most current information and application details.

Qualification and course duration


full time
36 months
part time
60 months


full time
24 months
part time
36 months

MSc by research

part time
24 months
full time
12 months

Course contact details

Claire Carter
+44 (0)1227 824133