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

Data Science

Nottingham Trent University · Nottingham
Qualification
Degree
Length
4 yrs
UK fees / yr
£9,535
Study
full-time
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 is the interdisciplinary field that extracts knowledge, insight, and decision-relevant information from large and complex datasets, using methods drawn from statistics, computer science, and applied mathematics. It has become one of the most in-demand disciplines in modern economies, as organisations across every sector seek professionals who can collect, clean, analyse, model, and communicate data effectively. The combination of technical skill and domain knowledge that data scientists bring is increasingly treated as a strategic organisational asset.

At Nottingham Trent University, this four-year programme includes an integrated foundation year that builds the programming, scientific reasoning, and mathematical foundations you need before moving on to the full data science degree. The foundation year is designed specifically for students who have the aptitude and motivation for data science but need additional preparation in these areas, and it provides a genuine platform for the degree that follows. In the main programme, you will develop skills in programming, statistical analysis, machine learning, data visualisation, database management, and the practical methods used to work with real datasets in professional contexts.

Data science graduates are in demand across finance, technology, healthcare, retail, logistics, media, government, and research. Roles in data analysis, machine learning engineering, business intelligence, research science, and data engineering are common destinations. NTU's emphasis on applied learning means graduates have practical experience that complements their theoretical knowledge, which employers value.

Further study at master's level in data science, statistics, artificial intelligence, or a domain-specific applied field is open to those who wish to specialise further.

Could you get in?
The grades students arrived with
<48 pts1%
48-63 pts5%
64-79 pts11%
80-95 pts14%
96-111 pts18%
112-127 pts19%
128-143 pts7%
144-159 pts9%
160-175 pts3%
176-191 pts1%
How they qualified
65% got in with A-levels. The rest came in a mix of ways:
A-levels65%
other higher education20%
Other8%
another degree3%
no formal qualifications2%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
88%
In work or further study after
83%
Continue past first year
84%
Student satisfaction
What graduates earn over time
£26,500
3 years on
£34,500
5 years on
What graduates actually go on to do % of leavers
Information Technology ProfessionalsHighly skilled49%
Sales occupations6%
Skilled trades occupations3%
Science, engineering and technology associate professionalsHighly skilled15%
Elementary occupations3%
Business and public service associate professionalsHighly skilled6%
Artistic, literary and media occupationsHighly skilled3%
Administrative occupations2%
What students say National Student Survey
84%
of students are satisfied with the course overall
Teaching84%
Assessment & feedback84%
Academic support84%
Well organised81%
Learning resources82%
Student community86%
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Where this degree can lead
Like the look of it?
When you're ready, the full entry requirements and application are on Nottingham Trent University'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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