Overview
Students of the Statistics (Research) degree delivered by the 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.
Key facts
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.
Our graduates have started careers in diverse areas such as the pharmaceutical industry, financial services and sports betting.Programme Structure
Courses include:
- 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
Start dates & application deadlines
- Starting
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Although there is no fixed closing deadline for applications to research degrees, we strongly recommend that you apply as soon as possible
Language
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Delivered
Campus Location
- Canterbury, United Kingdom
Disciplines
Statistics View 34 other PhDs in Statistics in United KingdomWhat students do after studying
Academic requirements
English requirements
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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 Fees
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International Applies to you
Applies to youNon-residents19300 GBP / year≈ 19300 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents5006 GBP / year≈ 5006 GBP / year
Additional Details
UK part-time fee: £2503 per year
International and EU part-time fee: £9650 per year
Living costs
Canterbury
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find PhD's scholarship opportunities for Statistics.
Available Scholarships
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