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MSc Applied Statistics And Datamining

  • DeadlineStudy Details:

    one year full time two years part time (MSc)

Course Description

 

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

 

Highlights

 

 

    • Commercially relevant course.

 

    • Course content is aligned to the requirements of the commercial analysis sector.

 

    • Dissertation topics are generated in part by commercial partners.

 

    • Teaching involves widely used commercial software packages (SAS, SPSS).

 

    • The popular open-source tool R is also used.

 

 

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 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.

 

Further particulars regarding curriculum development.

 

Entry Requirements

A 2.1 undergraduate Honours degree with good grades within a suitable quantitative component (for example, statistical analysistheory).

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Fees

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