PhD Statistics PHD Program By The University of Manchester |Top Universities
Subject Ranking

# 51-100QS Subject Rankings

Tuitionfee

72,000 GBPTuition Fee/year

Main Subject Area

Statistics and Operational ResearchMain Subject Area

Program overview

Main Subject

Statistics and Operational Research

Degree

PhD

Study Level

PHD

Opportunities for PhD research are available in a wide range of topics in Probability and Statistics. Students may enter the graduate programme in Statistics by initially taking the taught M.Sc. course over 1 year. This, subject to satisfactory progress, can lead to admission to the PhD programme. The Probability and Statistics group comprises 16 members of staff. 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 main statistical applications are in biological, environmental and medical practices. Research is also undertaken in stochastic epidemic models and MCMC, an interface area between Probability and Statistics. The Statistics subgroup is internationally recognised for its research in time series and longitudinal/clustered data modelling.

Program overview

Main Subject

Statistics and Operational Research

Degree

PhD

Study Level

PHD

Opportunities for PhD research are available in a wide range of topics in Probability and Statistics. Students may enter the graduate programme in Statistics by initially taking the taught M.Sc. course over 1 year. This, subject to satisfactory progress, can lead to admission to the PhD programme. The Probability and Statistics group comprises 16 members of staff. 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 main statistical applications are in biological, environmental and medical practices. Research is also undertaken in stochastic epidemic models and MCMC, an interface area between Probability and Statistics. The Statistics subgroup is internationally recognised for its research in time series and longitudinal/clustered data modelling.

Admission Requirements

3+
6+
90+

Jan-2000

Tuition fees

Domestic
13,221 GBP
International
72,000 GBP

Scholarships

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