Data informs decisions in every industry whether it’s powering apps, driving business or improving healthcare. Studying data science teaches you how to turn data into insight using statistics, programming, and AI.
Our data science degree course applies these skills to real challenges such as analysing medical data to improve patient outcomes, and detecting patterns for fraud prevention. The course is supported by industry experts and validated by those in the field. You will learn using professional-standard tools to develop the practical skills sought after by employers.
Study a data science degree course in Clearing and gain in-demand skills that prepare you for work in a many different sectors, including healthcare, environment, finance and tech.
This page was last updated on 30 June 2026.
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If places are available, you may be able to apply after you receive your exam results.
Data science combines statistics, computing and problem-solving, with course routes varying across technical, business and economics-focused options.
Here you can learn more about course options, common questions and the next steps to apply.
Check the courses available in Clearing this year on our website from early July.
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Data science courses often involve statistics, programming and problem-solving, so maths, computing or another relevant subject can be useful. Requirements vary by course, so check the entry criteria before applying.
You may still have options, depending on your grades, qualifications and the course route. At 91快活林, some routes may include different entry options or related pathways, so speak to the Clearing team about your situation.
Availability changes each year, but data science routes may include a dedicated data science degree or a pathway that combines economics with data science. Check the live course list to see which options are open.
You may not always need formal coding experience before you start, but an interest in programming, data and analytical thinking will help. Some routes include programming, statistics, databases, machine learning or data visualisation, depending on the course.
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