Course summary

Develop the skills and knowledge a professional statistician needs to solve problems in a range of industries. Course description Our Statistics MSc will teach you the theories behind a variety of statistical techniques, and how to apply them in scenarios that professional statisticians face every day. You’ll develop a detailed working knowledge of important statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics, time series and machine learning. Our Statistics MSc includes modules on how to collect data and design experiments, and the role of statistics in clinical trials. You’ll learn how to analyse and draw meaningful conclusions from data, and develop your programming skills using the statistical computing software R. Around one-third of the course is devoted to your dissertation. This may focus on investigating a data set, or a more theoretical or methodological topic. You’ll gain skills to help you stand out in the graduate job market, such as planning and researching a project, data acquisition, problem specification, analysis and reporting your findings. External clients, such as pharmaceutical companies or sports modelling organisations, often provide dissertation topics. Distance learning students often come with projects designed by their employer. Recent examples of dissertation topics include:

• Probabilistic Topic Modelling

• Spatio-temporal Modelling of Social Phenomena

• Feature selection for high dimensional data

• Modelling Football Results