Social Statistics (Statistics pathway)

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This programme trains you in the theory and methods of social statistics, exposing you to cutting-edge social statistical practice, to equip and prepare you for carrying out research in social science disciplines and to contribute to developments in the area. It has a particular focus on statistical methodology and the underlying theory, equipping you with the skills to undertake research in social statistics methodology or to take up a career as a professional social statistician.

The programme is recognised by the ESRC as satisfying postgraduate training course requirements. You register initially on the PG Dip and, depending on your success and requirements, can continue to work towards the MSc. The pathway meets the training needs of postgraduate researchers in social statistics methodology.

Compulsory modules: Generalised linear models; Modelling longitudinal data; Modelling multilevel data; Multivariate analysis; Research skills, strategy and design; Social science data: sources and measurement; Survey methods 1 and 2

Optional modules: Bayesian methods; Computer intensive statistical methods; Demographic methods 1 and 2; Design of experiments; Epidemiological methods; Introductory qualitative methods; Measurement errors; Population, poverty and policy; Survival analysis; Understanding population change

Plus: Dissertation (12,50015,000 words; MSc only)

We welcome applications from students who have, or expect to have, a 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 backgroundThis 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 English Language Requirements IELTS band: 6.5 CAE score: (read more) Cambridge English: Advanced (CAE) is part of the Cambridge English suite and is targeted at a high level (IETLS 6.5-8.0). It is an international English language exam set at the right level for academic and professional success. Developed by Cambridge English Language Assessment - part of the University of Cambridge - it helps you stand out from the crowd as a high achiever. 75 (Grade B) TOEFL paper-based test score : 580 TOEFL iBT® test: 92 IMPORTANT NOTE: Since April 2014 the ETS tests (including TOEFL and TOEIC) are no longer accepted for Tier 4 visa applications to the United Kingdom. The university might still accept these tests to admit you to the university, but if you require a Tier 4 visa to enter the UK and begin your degree programme, these tests will not be sufficient to obtain your Visa. The IELTS test is most widely accepted by universities and is also accepted for Tier 4 visas to the UK- learn more.