University course · real outcomes from HESA / Discover Uni · part of Careermash
University degree

Data Science

University of Keele
Qualification
Degree
Length
3 yrs
UK fees / yr
£9,535
Study
full-time
Worth knowing: about 20% of students don't make it past first year here - ask the uni what support they offer.
Robin · your guide
Here's the honest picture on this course - what you'd study, whether you'd likely get in, what it pays, and where it leads. Everything's real data.
About this course

Data science has become one of the defining disciplines of the twenty-first century, reshaping how organisations in every sector make decisions, understand their customers, and create value. At its core it combines statistical reasoning, computational skills and domain knowledge to turn large and complex datasets into meaningful insight. It draws on computer science, mathematics, artificial intelligence and machine learning, and applies them to real-world problems in business, healthcare, government, research and beyond.

At the University of Keele you will study data science taught by leading researchers in the field, exploring the mathematical and computational foundations of the discipline alongside practical work with AI, machine learning and analytics in realistic contexts. You will learn to clean, analyse and visualise data, build and evaluate predictive models, and communicate findings clearly to varied audiences. The programme runs over three years full time and includes a sandwich year in industry, a year abroad and work placement opportunities, giving you substantial professional and international experience alongside your technical development.

The demand for data scientists is broad and growing. Graduates work in technology companies, financial services, healthcare, retail, logistics, the public sector and scientific research, in roles including data analyst, machine learning engineer, data engineer, business intelligence specialist and research scientist. The ability to combine technical fluency with the judgement to ask the right questions and interpret results responsibly is rare and highly valued.

Postgraduate study in data science, machine learning, artificial intelligence or statistics is a natural further step for those who wish to develop deeper expertise or move into more specialist research roles.

Could you get in?
The grades students arrived with
80-95 pts15%
96-111 pts25%
112-127 pts25%
128-143 pts15%
160-175 pts10%
208-223 pts10%
How they qualified
100% got in with A-levels.
A-levels100%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
80%
In work or further study after
80%
Continue past first year
85%
Student satisfaction
What graduates earn over time
£26,500
3 years on
£37,000
5 years on
What graduates actually go on to do % of leavers
Sales occupations5%
Information Technology ProfessionalsHighly skilled45%
Science, engineering and technology associate professionalsHighly skilled20%
Elementary occupations5%
Administrative occupations5%
Teaching ProfessionalsHighly skilled5%
Business and public service associate professionalsHighly skilled5%
What students say National Student Survey
85%
of students are satisfied with the course overall
Teaching77%
Assessment & feedback78%
Academic support79%
Well organised83%
Learning resources87%
Student community88%
More courses like this
Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on University of Keele's own site.
Apply on uni site
Careermash · real course data from HESA / Discover Uni, in plain English.

Career data: role, pay and progression profiles built for Careermash's careers engine; AI-impact estimates from Anthropic's observed AI-usage telemetry and OpenAI's AI Jobs Transition Framework. Course data: HESA / Discover Uni, including Graduate Outcomes, LEO and the National Student Survey. Apprenticeships: IfATE-published standards, approved only.

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