Data plays a vital role in almost all private and public sector employment. The need to understand how to use data to inform decision making has never been more important. This degree equips you with the skills to explore and analyse complex data sets. And to solve practical problems using applied mathematics, statistics and computing. You’ll gain a good grounding in mathematical and statistical methods, which provide the foundation for data analysis. You’ll learn relevant computing skills, including programming, elements of machine learning and artificial intelligence, and gain experience of using statistical software. **Key features of the course** - Develop familiarity with mathematical, statistical and computational data modelling techniques. - Build your expertise in a range of software, including the widely used Python and R languages. - Gain experience in communicating and critically commenting on data analysis results. - Increase your employability – data scientists are highly sought after in a wide range of sectors.

This degree has three stages, each comprising 120 credits. Stage 1 has one 30-credit mathematics, one 30-credit statistics and two 30-credit computing & IT modules. Next, in Stage 2, you’ll study one 30-credit applied mathematics module, two 30-credit statistics modules and one 30-credit computing & IT module. Finally, in Stage 3, you’ll study one 30-credit statistics module and one 30-credit computing & IT module, and choose two more 30-credit modules from a selection of computing & IT, statistics and applied mathematics modules.

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Institution code: O11

Campus Name: Distance Learning

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The following entry points are available for this course:

Year 1

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There are no formal entry requirements to study this qualification, but it’s very important you’re well prepared to study mathematics at this level, and are able to read and write to a good standard of English. Ideally, you’ll also have some basic knowledge of computing. You do need experience in mathematics – you should have a working knowledge of all of the following topics: algebraic manipulation and solving equations quadratics and parabolas geometry and trigonometry exponentials and logarithms.

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Milton Keynes
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