Birkbeck, University of London
This programme has been specially designed to meet the personal and career development needs of people who want to continue working, or gain valuable interning experience, while also studying in the evening. Many of our students, as part of their everyday work, are involved in data analysis, the interpretation of statistics, the optimal design and control of systems, and the modelling and prediction of time-dependent phenomena. They bring a wealth of knowledge and experience into the classroom, and you'll find yourself surrounded by committed, enthusiastic students from all backgrounds, careers and cultures. This programme is ideal if you are considering a career move into statistics, or if your work already involves aspects of data collection and exploration, the interpretation of statistics, or the modelling and forecasting of time-dependent phenomena. Over 2 years, in lectures and practical computing sessions, the course covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce and research. The programme proceeds from a strong theoretical background, but it is practically oriented, in order to develop your ability to tackle new and non-standard problems confidently. The mutual dependence of practice and theory is emphasised throughout the course.
Year 1 You take 2 core modules. These cover: probability and distribution theory; statistical inference; Markov Chains; introductory time series and forecasting; multiple linear regression; generalised linear modelling; experimental design. You will apply the theory and principles that you learn to the analysis and modelling of data in a wide range of contexts and gain experience in the use of a statistical package such as R. The first year corresponds to the Postgraduate Certificate in Applied Statistics. Year 2 Normally, you choose 4 modules worth 15 credits each, offered from the broad areas of: Further applied statistics (e.g. topics in Bayesian statistics, advanced multivariate analysis, computational statistics) Operational research (e.g. topics in optimisation, forecasting and stochastic methods of operational research) You also complete a project (60 credits): a sustained, independent investigation involving the application of statistical techniques to a specific problem. To gain an MSc in Applied Statistics and Operational Research, you must satisfactorily complete the compulsory modules in Operational Research.
Written examinations in May/June, assessed coursework throughout both years and a project to be completed by 1 September at the end of the second year.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Part-time||October 2018||GBP 7,425 per Year 1 (International)||2 Years|
|MSc||Part-time||October 2018||GBP 4,375 per Year 1 (Home/EU)||2 Years|
|Postgraduate Certificate - PgCert||Part-time||October 2018||GBP 4,950 per Year 1 (International)||1 Years|
|Postgraduate Certificate - PgCert||Part-time||October 2018||GBP 2,900 per Year 1 (Home/EU)||1 Years|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|Bloomsbury Campus||WC1E 7HX||London|
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Department of Economics, Mathematics and Statistics