Skip navigation
You are viewing our beta course page.

Data Science (R38)

1 Study option · UndergraduateDistance Learning
Awarded by:
The Open University

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 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

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.

Application codes

Institution code:
O11

This course may be available at alternative locations, please check if other course options are available.

Course options

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Fees and funding

Choose a specific option to see funding information.

Course options
Like this page