Course summary
Nowadays, data plays a vital role in every private and public sector enterprise. The need to understand how to use data to inform decision making has never been more critical. 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. Additionally, you’ll learn relevant computing skills, including machine learning and artificial intelligence elements, and gain experience using statistical software.In a world that is increasingly turning to data for decision making, there’s a high demand for data scientists in a broad range of sectors, including commerce, finance, health, and information technology. 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.
Modules
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.
How to apply
To apply for this course you will be taken to the provider's website, where you can find out more information and make an application.
Points of entry
The following entry points are available for this course:
- Year 1
This course may be available at alternative locations, please check if other course options are available
Entry requirements
Qualification requirements
There are no qualification requirements for this course.
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.
Unistats information
Operated by the Office for Students
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
| EU | £20772 | Whole course |
| International | £20772 | Whole course |
| England | £20772 | Whole course |
| Channel Islands | £20772 | Whole course |
| Northern Ireland | £6624 | Whole course |
| Scotland | £6768 | Whole course |
| Wales | £7872 | Whole course |
| Republic of Ireland | £19944 | Whole course |
Additional fee information
The fee information provided is valid for modules starting before 31 July 2024. Fees normally increase annually. For further information about The Open University's fee policy, visit our website.
Provider information
Open University
Student Recruitment Team
PO Box 197
Milton Keynes
MK7 6BJ