Research course

Statistics

Institution
The University of Manchester · School of Mathematics
Qualifications
PhD

Entry requirements

Applicants would usually be expected to have a 1st or Upper-2nd Class Honours degree (or an equivalent overseas qualification) in a mathematical subject. In some research areas a background in physics, engineering or computer science is also acceptable.

Months of entry

January, September, July, April

Course content

The Statistics subgroup works in areas ranging from the study of statistical theory, to aspects of applied research, including covariance modelling, extreme value theory, generalised estimating equations, growth curve models, higher order spectral analysis, linear and non-linear mixed models, longitudinal and survival data modelling, multivariate statistics, experimental design, nonparametric density estimation, nonparametric smoothing, non-stationary and non-linear time series analysis, statistical diagnostics and symbolic computation. The Statistics subgroup is internationally recognised for its research in time series and longitudinal/clustered data modelling.

Department specialisms

The School of Mathematics is one of the largest and most research-active in the UK. It is ranked 6th highest in the country on the 2008 Research Assessment Exercise (RAE). Over 95% of research in the school is 'Recognised Internationally', with over 20% in the highest 'World Leading' category.

Information for international students

Students whose first language is not English require a minimum score of IELTS 6.5 or TOEFL 570 (paper-based) with not less than 5.0 in the TOEFL essay section of the test or 90 (ibtTOEFL).

Fees and funding

Please see www.manchester.ac.uk/postgraduate/funding.

Qualification and course duration

PhD

part time
72 months
full time
36 months

Course contact details

Name
School of Mathematics
Email
pgr-maths@manchester.ac.uk
Phone
+44 (0)161 275 0178
Fax
+44 (0)161 306 3669