A good 2.1 undergraduate Honours degree in Mathematics, Statistics or in an area with substantive mathematical or statistical content.
Months of entry
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.
- 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).
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.
The modules in this programme have varying methods of delivery and assessment. For more details of each module, including weekly contact hours, teaching methods and assessment, please see the latest module catalogue which is for the 2018-2019 academic year; some elements may be subject to change for 2019 entry.
Fees and funding
Qualification and course duration
Course contact details
- Postgraduate Secretary
- +44 (0)1334 46 2344