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This course is accredited by the Royal Statistical Society
The MSc Statistics offers a modern advanced curriculum in statistics which will enable you to broaden and deepen your understanding of the subject and its applications.
The programme will provide you with specific techniques and skills suitable for a professional career in statistics or as a solid basis for research in the area.
Optional topics typically include generalised linear models, Markov Chain Monte Carlo, the bootstrap, multivariate analysis, spatial statistics, time series and forecasting, multilevel models, stochastic finance, and shape and image analysis.
International Student Satisfaction Awards
Second place ranking
The University of Nottingham has been ranked amongst the top universities in the UK for international student experience.
Nottingham enters the league table at number two in theInternational Student Satisfaction Awards 2014 and is one of only five UK universities to receive a rating of outstanding. The rankings are compiled by StudyPortals, an independent study choice platform covering more than 1400 universities in 40 European countries.Key facts
* This course is informed by the work being carried out in the Statistics and Probability research group.
* The School of Mathematical Sciences is one of the largest and strongest mathematics departments in the UK, with over 50 full-time academic staff.
* In the latest independent Research Assessment Exercise, the School ranked 8th in the UK in "research power" across the three subject areas within the School of Mathematical Sciences (Pure Mathematics, Applied Mathematics, Statistics and Operational Research).
* This course is accredited by the Royal Statistical Society.
The course is taught mostly through lectures, backed up with smaller seminar groups which are used to revisit more complex topics. The course is taken full-time over one year and is made up of compulsory and optional modules to give you the flexibility to study your topics of interest.
Course Modules include:
* Fundamentals of Statistics
* Medical Statistics
Optional - students must choose three of the following:
* Advanced Stochastic Processes
* Applications of Statistics
* Computational Statistics
* Topics in Biomedical Statistics
* Time Series and Forecasting
Please note that all module details are subject to change, and that there are some restrictions regarding choices of modules.
Over the summer period towards the end of the course, you will undertake a maths dissertation of 15,000-25,000 words. In this module, a substantial mathematical investigation will be carried out on a topic in statistics (stats) or probability. The study will be largely self-directed, although a supervisor will provide oversight and input where necessary. The maths topic will be chosen by agreement between yourself and your supervisor. The topic could be based on the statistical analysis of a substantial dataset, an investigation into statistical methodology or an investigation into a topic of applied probability or probability theory. It is expected that most projects will contain an element of statistical computing.
The MSc Statistics is intended for students with a degree in mathematics (or a related subject with a substantial mathematical content). Some knowledge of probability and statistics would be helpful to start the course.
The course is offered on a full-time basis over 1 year and comprises 180 credits, split across 120 credits worth of taught modules and a 60-credit research project.
Modules are mainly delivered through lectures and example and /or problem classes for smaller groups. You will typically be assessed by an examination or coursework at the end of the semester in which a given module is taught. The course is designed such that the module `Fundamentals of Statistics' is either a pre- or a co-requisite for all other modules offered in the course, whereas the recommended books to meet the prerequisite for this module are: * Ross, S.M. (1976) A First Course in Probability (or any of the newer editions - most recent is the 8th edition, 2010), Collier-MacMillan.
* Mann, P.S. (2010) Introductory Statistics, John Wiley & Sons
* Entry requirements:2:2 (lower second class honours degree or international equivalent) in mathematics or a closely related subject with substantial mathematical content.
* IELTS:6.0 (no less than 5.5 in any element)
* Pearson Test of English (PTE) Academic:55 (minimum 51)
IMPORTANT NOTE: Per 6 April 2015 only the English language tests from IELTS and Trinity College London are accepted for Tier 4 Visa applications to the United Kingdom. Other tests (including TOEFL, TOEIC, Pearson, City & Guilds) 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. Since the Trinity College London language tests must be taken in one of their exam centres in the UK, IELTS is now the only language test accepted for Tier 4 visas to the UK that can be taken worldwide.
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