Program Overview

Overview

Data analysis and statistical models support many aspects of the modern world, from science and technology to fiNAce and business. They allow us to overcome scientific, industrial and social problems and an advanced understanding of them is beneficial in many careers.

Our PGDip in Statistics follows the same taught course structure as our Royal Statistical Society (RSS) accredited Masters programme, but without the dissertation component that comprises the final part of the Masters year. As with the Masters programme, the PGDip combines a blend of theoretical study with real-world application. You will develop advanced statistical skills and knowledge, while having the opportunity to put what you learn into practice and gain valuable, real-world experience. In addition to acquiring advanced technical knowledge, you will also develop project management and communication skills.

A carefully structured approach will enable you to develop and strengthen your essential core skills in both classical and modern statistical methods and inference before progressing to the ore advanced and specialist modules. The specialist modules cover a diverse range of statistical topics reflecting both areas of Departmental research expertise and the requirements of leading employers of statisticians. You will be supported in selecting those specialist modules that best reflect your own interests and career aspirations.

Alongside the technical modules, you will undertake a module to advance key transferable skills in programming and communications. Programming, and the confident use of statistical software, enables the analysis of large and complex data sets, whilst communication is an essential skill for all statisticians, who must be able to engage in dialogue with members of the project team, stake holders and end-users.

You will be based in the Department of Mathematics and Statistics, where you will have access to specialist software and equipment. You will have the opportunity to engage with academic staff members, all of whom are active statistical researchers, and to participate in departmental research colloquia and seminars should you choose to do so.

Your department