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Applied Statistics and Datamining MSc

Applied Statistics and Datamining MSc

Different course options

Study mode

Full time

Duration

1 year

Start date

09-SEP-24

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Analysis Applied Statistics

Course type

Taught

Course Summary

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 information

The 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.

Careers

Graduates from this programme typically seek employment as analysts within a company, research body, government, or as statistical consultants.

Recent graduates have found employment in:

  • large consulting firms and major financial institutions including Scottish and Southern Energy, RBS, Aviva, Lloyds, TSB, PwC, Capital One, Vodafone, American Express, Goldman Sachs, Tesco Bank and many others
  • biomedical research, clinical trials and pharmaceuticals
  • wildlife and conservation managers including the Wildlife Conservation Society (WCS).

Modules

Knowledge Discovery and Datamining: covers many of the methods found under the banner of "datamining", building from a theoretical perspective but ultimately teaching practical application.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£11,680

International fees
Course fees for EU and international students

For this course (per year)

£25,880

Entry requirements

Students need to have a good 2.1 undergraduate Honours degree in mathematics, statistics or in an area with substantive mathematical or statistical content.