Studyportals
Ph.D. On Campus

Statistics (Research)

University of Kent

36 months
Duration
17400 GBP/year
4596 GBP/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

The Statistics (Research) programme from University of Kent offers the opportunity to begin or consolidate your research career under the guidance of internationally renowned researchers and professionals in the School of Mathematics, Statistics and Actuarial Science (SMSAS).

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.

Programme Structure

Research areas:

  • Statistical Ecology
  • Bayesian statistics 
  • Biological and health statistics 
  • Machine learning 
  • Nonparametric statistics 
  • Economics and finance

Key information

Duration

  • Full-time
    • 36 months
  • Part-time
    • 60 months
    • Flexible

Start dates & application deadlines

More details

Although there is no fixed closing deadline for applications to research degrees, we strongly recommend that you apply as soon as possible and no later than three months before your intended start date.

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
First Class

Other requirements

General requirements

  • A first or 2.1 in a relevant subject.
  • All applicants are considered on an individual basis and additional qualifications, professional qualifications and relevant experience may also be taken into account when considering applications. 

Tuition Fee

To alway see correct tuition fees
  • International

    17400 GBP/year
    Tuition Fee
    Based on the tuition of 17400 GBP per year during 36 months.
  • National

    4596 GBP/year
    Tuition Fee
    Based on the tuition of 4596 GBP per year during 36 months.

Part-time:

  • UK: £2298
  • EU/International: £8700

Living costs for Canterbury

660 - 1140 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Statistics (Research)
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University of Kent

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