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MSc Mathematics and Data Science

Different course options

Full time | University of Stirling | 12 months | OCT

Study mode

Full time

Duration

12 months

Start date

OCT

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Mathematics (General) Informatics

Course type

Taught

Course Summary

Overview

The field of Data Science has seen rapid growth in recent years, with vast amounts of data now being generated by major companies and service providers.

At the same time, it’s recognised that there’s a shortage of qualified analysts, both in the UK and globally, to make the most of this data. Crucially, there’s now a shortage of mathematics graduates with the data analysis skills needed to meet the demands of industry.

Our MSc Mathematics and Data Science is one of the first courses to link the two key areas of mathematics and data science, making it uniquely positioned to help you meet this demand.

The course will provide you with a solid foundation in the mathematical analysis of data-driven systems and help you develop your computing skills to apply the techniques you learn on a large scale. You’ll learn the techniques used to approach data using computational analysis and understand the mathematics underpinning these techniques.

Stirling is a member of The Data Lab, an Innovation Centre that aims to develop the data science talent and skills required by industry in Scotland. It facilitates industry involvement and collaboration, and provides funding and resources for students. Students can also exit with PGCert and PGDip awards.

Course objectives

The aim of the course is to teach you the techniques for approaching data sets using computational analysis, and to help you understand the mathematics underpinning these techniques.

On successful completion of the MSc Mathematics and Data Science, you'll be able to:

  • analyse and solve real-world problems using different mathematical approaches
  • expand mathematical methods to approach more complex problems
  • analyse small and large-scale data sets using mathematical and computational approaches
  • apply the research skills and self-learning approaches relevant to data science
  • evaluate different approaches to analysing a problem
  • demonstrate skills in data analytics and machine learning

Modules

Students will be able to understand the nature of Data Science projects in industry and in academia. They will gain an appreciation of the advantage gained for companies and researchers from Data Science projects, and also an understanding of the difficulties and issues involved in creating such projects. They will be exposed to a wide variety of Data Science applications.

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£8,500

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£20,750

Average for all Postgrad courses (per year)

£12,227

Entry requirements

A minimum of a second class Honours degree, or equivalent, in either a mathematics (joint or single honours) or other numerate subject, e.g. physics. Other degrees will also be taken into account, if it can be shown that some mathematical study took place and you have taken and passed advanced mathematics modules in at least some of calculus, algebra, statistics and numerical analysis.