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

Data Science

University of Chester
Qualification
Degree
Length
3 yrs
UK fees / yr
Β£9,535
Study
full-time
Robin Β· 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 is one of the most consequential disciplines of our time, concerned with extracting meaningful insight from large and complex datasets to inform decisions in business, government, healthcare, science, and beyond. It sits at the intersection of mathematics, statistics, computer science, and domain knowledge, requiring practitioners who can not only build and evaluate models but also communicate what those models mean to people who need to act on them. The field is evolving rapidly, and a strong foundation in both theory and practice is essential for anyone who wants to work effectively within it.

At the University of Chester, this three-year full-time programme includes a sandwich year, giving you an extended period of professional placement between your second and final years. You will develop skills in statistical analysis, machine learning, data visualisation, programming, and database management, alongside the critical thinking needed to evaluate the quality and limitations of data and the models built from it. The placement year is a significant feature of the programme, allowing you to apply your skills in a real working environment and to build professional networks before you graduate.

A typical entry tariff of 120 points reflects the programme's position as a rigorous but accessible route into the field.

Data science graduates are among the most sought-after in the current job market, with strong demand across finance, technology, healthcare, retail, logistics, public sector analytics, and scientific research. Common roles include data analyst, data scientist, machine learning engineer, and business intelligence specialist, and the placement year frequently leads to a direct job offer. Further study is a well-trodden path for those who want to deepen their expertise in areas such as artificial intelligence, statistical modelling, or a specific application domain.

The degree also provides a strong foundation for research-focused careers in academia or industry.

Could you get in?
The grades students arrived with
48-63 pts1%
64-79 pts8%
80-95 pts5%
96-111 pts11%
112-127 pts16%
128-143 pts8%
144-159 pts12%
160-175 pts9%
192-207 pts2%
208-223 pts1%
How they qualified
83% got in with A-levels. The rest came in a mix of ways:
A-levels83%
other higher education10%
Other7%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
85%
In work or further study after
83%
Continue past first year
85%
Student satisfaction
What graduates earn over time
Β£23,000
3 years on
Β£27,500
5 years on
What graduates actually go on to do % of leavers
Information Technology ProfessionalsHighly skilled45%
Sales occupations10%
Engineering professionalsHighly skilled10%
Customer service occupations10%
Business and public service associate professionalsHighly skilled10%
What students say National Student Survey
85%
of students are satisfied with the course overall
Teaching78%
Assessment & feedback83%
Academic support84%
Well organised84%
Learning resources83%
Student community90%
In students' own words
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Genuinely worthwhile
I was sceptical before starting β€” now I'd recommend it to anyone. The best part: the lecturers include people actively shipping research to industry. If I'm honest, would like to see more industry guest speakers in later years. On the city …
Third year Β· Full-time
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A great decision
This is the perfect place to study this subject. The best part: you finish with a portfolio that recruiters take seriously. If I'm honest, first-year classes can be quite large. On the city β€” good transport links make it easy to visit other…
Class of 2024 Β· Full-time
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 Chester's own site.
Apply on uni site
Careermash Β· 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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