Open University has participated in the Teaching Excellence Framework. These ratings were awarded in 2023, for four years.
Course summary
Data plays a vital role in every private and public sector enterprise: understanding 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 increasingly turning to data for decision-making, there’s a high demand for data scientists in various 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 software expertise, including in 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 many sectors
Modules
This degree has three stages, each comprising 120 credits: In Stage 1, you’ll study four 30-credit modules. In Stage 2, you’ll study four 30-credit modules. In Stage 3, you’ll study two 30-credit modules and choose two 30-credit option 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
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.
Student Outcomes
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
| England | £21816 | Whole course |
| Republic of Ireland | £20952 | Whole course |
| Scotland | £7128 | Whole course |
| Northern Ireland | £6954 | Whole course |
| Wales | £7872 | Whole course |
| EU | £22416 | Whole course |
| International | £22416 | Whole course |
| Channel Islands | £22416 | Whole course |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Fee information is valid for modules starting before 31 July 2025. Fees typically increase annually.
Provider information
Open University
Student Recruitment Team
PO Box 197
Milton Keynes
MK7 6BJ