Applied Statistics and Datamining

A good 2.1 undergraduate Honours degree in Mathematics, Statistics or in an area with substantive mathematical or statistical content.

The PGDip/MSc in Applied Statistics and Datamining is a commercially relevant programme of study providing students with the statistical data analysis skills needed for business, commerce and other applications. The course is a one-year taught programme run by the School of Mathematics and Statistics and is aimed at those with a good degree containing quantitative elements who wish to gain statistical data analysis skills.

Highlights

• The course is commercially relevant and has content aligned with the requirements in the commercial analysis sector. Dissertation topics are generated in part by commercial partners.
• Teaching includes widespread commercial software packages (SAS, SPSS) along with popular open-source tools (R).

Teaching format

The programme consists of two semesters with taught components which include a mixture of short, intensive courses with a large proportion of continuous assessment and more traditional lecture courses with end-of-semester exams.

For those on the MSc, the taught component will be followed by a 15,000-word dissertation project taking place during the last three months of the course.

The School of Mathematics and Statistics is well equipped with personal computers and laptops, a parallel computer and an on-site library.

Modules