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.
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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:
Optional - students must choose three of the following:
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:
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.
No work experience is required.
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Studying at Nottingham is an experience that goes far beyond traditional lectures. A flexible approach to teaching combines established teaching methods, such as tutorials, with interactive and web-based methods.