Taught course

Applied Statistics

University of Southampton · Social Statistics / Population Sciences and Demography

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Entry requirements

Selection process: We welcome applications from students who have, or expect to have, an Upper second-class honours degree involving a substantial statistical theory component as outlined below. Your application will be considered on its merits, with motivation and postgraduate experience in a statistical environment potentially important factors. Non-graduate qualifications, in particular the Graduate Diploma of the Royal Statistical Society, may be accepted in place of an undergraduate degree. Full details of previous statistical training in the form of syllabuses, reading lists and, in particular, examination papers will be helpful in assessing your suitability for the programme.

Academic background: This pathway is suitable for statisticians, mathematicians, econometricians, engineers and other science graduates whose training equips them to study applied statistics at graduate level. It is also suitable for social scientists with a good training in statistics.

Past students have held first degrees in subjects such as mathematics, economics, statistics, and statistics and psychology.

The main prerequisite for the programme is a good grounding in the basic theory and methods of statistics, to the level of texts such as: AM Mood, FA Graybill and DC Boes (3rd ed, 1974), Introduction to the Theory of Statistics, McGraw-Hill; MH DeGroot (2nd ed, 1986), Probability and Statistics, Addison-Wesley; HJ Larson (3rd ed, 1982), Introduction to Probability Theory and Statistical Inference, Wiley.

Months of entry


Course content

MSc Applied Statistics provides postgraduate instruction in the theory and methods of applied statistics. The programme is for students whose interests lie in the theory and application of statistical methods, and in methods for designing, collecting and analysing large –scale data.

You will benefit from the cutting-edge research conducted in the research centres in which professors from our department hold leading positions: the Southampton Statistical Sciences Research Institute and the ESRC National Centre for Research Methods. Our main areas of expertise include sampling, small-area estimation, census and administrative data and the analysis of 'big data'.

Information for international students

Language requirements: Competency in English language is essential for this master's degree. You should have an IELTS score of at least 6.5 overall, with at least 5.5 in each component, or equivalent. Students who do not have a degree from a British University, or who are from a country that is not on the list of those exempt from testing, will be required to present evidence of IELTS score or equivalent. Further details are available in English language proficiency page (https://www.southampton.ac.uk/studentadmin/admissions/admissions-policies/language.page). All language evidence should be less than two years old. Intensive pre-Masters postgraduate pre-sessional summer course in English language is available at the University if required.

Fees and funding

UK students
International students

A variety of scholarships, grants and bursaries may be available to help you fund your master’s study, both from the University and from other organisations. Please check the website for more information.

Qualification, course duration and attendance options

  • MSc
    part time
    27 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Social Sciences
+44 (0)23 8059 7342