Master's Degree in Statistics in Kent in United Kingdom

Search Masters Programs in Statistics 2017 in Kent in United Kingdom

Statistics

A masters is the first level of graduate coursework and can be obtained after you receive a bachelor’s degree. Earning a masters usually requires two years of full-time study, which amounts to 36 to 54 semester credits.

 

Statistics is a highly relevant field with applications in many different academic disciplines, such as medicine, natural sciences, education, psychology, and education. It is also a desirable skill for workers in industry, business, and government.

UK, United Kingdom is more than 300 years old and comprises four constituent nations: England, Scotland, Wales, and Northern Ireland. The UK has been a centre of learning for the past 1,000 years and possesses many ancient and distinguished universities. Foreign students make up a significant proportion of the student body at UK universities.

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MSc, MPhil, PhD - Statistics

University of Kent, School of Mathematics, Statistics & Actuarial Science
Campus Full time Part time 1 - 6 years August 2017 United Kingdom Canterbury + 1 more

With ongoing activities in areas like biological applications, statistical ecology, and nonparametric statistics, research students joining SMSAS will become part of a thriving and vibrant research community. [+]

Masters in Statistics in Kent in United Kingdom. MSc, MPhil, PhD - Statistics With ongoing activities in areas like biological applications, statistical ecology, and nonparametric statistics, research students joining SMSAS will become part of a thriving and vibrant research community. There's a well-established system of support and training, with a high level of contact between staff and research students. A very active research seminar programme further enhances the Statistics research experience. Course structure Staff 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 has strong connections with a number of prestigious research universities such as Texas A&M University, the University of Texas, the University of Otago, the University of Sydney and other research institutions at home and abroad. The research interests of the group are in line with the mainstream of statistics, with emphasis on both theoretical and applied subjects. The group regularly receives research grants. The EPSRC has awarded two major grants, which support the National Centre for Statistical Ecology (NCSE), a joint venture between several institutions. A BBSRC grant supports stochastic modelling in bioscience. Research areas Biometry and ecological statistics Specific interests are in biometry, cluster analysis, stochastic population processes, analysis of discrete data, analysis of quantal assay data, overdispersion, and we enjoy good links within the University, including the School of Biosciences and the Durrell Institute of Conservation and Ecology. A recent major joint research project involves modelling the behaviour of yeast prions and builds upon previous work in this area. We also work in collaboration with many external institutions. Bayesian statistics Current work includes non-parametric Bayes, inference robustness, modelling with non-normal distributions, model uncertainty, variable selection and functional data analysis. Bioinformatics, statistical genetics and medical statistics Research covers bioinformatics (eg DNA microarray data), involving collaboration with the School of Biosciences. Other interests include population genetics, clinical trials and survival analysis. Nonparametric statistics Research focuses on empirical likelihood, high-dimensional data analysis, nonlinear dynamic analysis, semi-parametric modelling, survival analysis, risk insurance, functional data analysis, spatial data analysis, longitudinal data analysis, feature selection and wavelets. Fees As a guide only, the 2014/15 annual tuition fees for this programme are: Statistics - MSc by Research at Canterbury: Full-time: £3996 UK/EU; £12450 Overseas Part-time: £1998 UK/EU; £6240 Overseas Statistics - MPhil at Canterbury: Full-time: £3996 UK/EU; £12450 Overseas Part-time: £1998 UK/EU; £6240 Overseas Statistics - PhD at Canterbury: Full-time: £3996 UK/EU; £12450 Overseas Part-time: £1998 UK/EU; £6240 Overseas Key facts Subject area: Statistics Award: MSc, MPhil, PhD Course type: Research Location: Canterbury Mode of study: Full-time or part-time Attendance mode: Campus Duration: MSc one year full-time, two years part-time; MPhil two years full-time, three years part-time; PhD three to four years full-time, five to six years part-time Start: September [-]