Taught course

Applied Statistics and Datamining

University of St Andrews · School of Mathematics and Statistics

Entry requirements

An undergraduate 2:1 degree (or equivalent) containing quantitative elements.

Months of entry


Course 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.

Course highlights

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

Teaching format

The PGDip/MSc in Applied Statistics and Datamining is a one-year taught programme run by the School of Mathematics and Statistics. The programme is aimed at those with a good degree containing quantitative elements who wish to gain statistical data analysis skills.

The programme consists of two semesters with taught components which include a mixture of short, intense 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.

Information for international students

A minimum of IELTS 7.0 or equivalent

Fees and funding

UK students
International students


Qualification and course duration


part time
24 months
full time
12 months

Course contact details

Postgraduate Secretary
+44 (0)1334 462344