University of Manchester
The course 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; non-parametric density estimation; non-parametric smoothing; non-stationary and non-linear time series analysis; statistical diagnostics and symbolic computation.
A 1st or 2.1 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; 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).
|Qualification||Study mode||Fee||Course duration|
|MPhil||Full-time||£ 3,828 per Academic year (home fees)||12 months|
|MPhil||Full-time||£ 15,400 per Academic year (overseas fees)||12 months|
|PhD||Full-time||£ 3,828 per Academic year (home fees)||36 months|
|PhD||Full-time||£ 15,400 per Academic year (overseas fees)||36 months|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|University of Manchester||Manchester||M13 9PL||North West|
Postgraduate Admissions Enquiries
0161 275 4740