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

Mathematics with Data Science

The University of Hull
Qualification
Degree
Length
4 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

Mathematics with data science is a combination that reflects the transformation of mathematical practice in the age of large-scale computation. Pure mathematics remains as demanding and fundamental as ever, providing the rigorous logical structures within which ideas about number, probability, and change are developed. Data science draws on those mathematical foundations to address the practical challenges of extracting insight from the vast quantities of data that modern science, business, and government generate.

Together, they give you a degree that is both intellectually rigorous and immediately applicable in a world where quantitative skills are in extraordinary demand.

At the University of Hull, this programme is offered as Mathematics with Data Science with a Foundation Year, making it a four-year degree in total. The foundation year provides a supported and structured introduction to the mathematical ideas and study skills needed to engage successfully with the degree, making it accessible to students who want to develop their mathematical preparation before tackling university-level content. As you move through the programme, you will study pure and applied mathematics alongside data science methods including statistical learning, machine learning, data visualisation, and computational thinking.

Hull's mathematics department offers a supportive and practically oriented learning environment where students develop both theoretical understanding and the computational skills increasingly expected of mathematicians in professional contexts.

Graduates from Mathematics with Data Science go on to careers in data science, data analysis, actuarial work, financial mathematics, statistical consultancy, software development, technology companies, the civil service, and research. The combination of mathematical rigour and data science expertise is particularly sought after by employers across finance, technology, healthcare analytics, and public sector research. Some graduates pursue postgraduate study in mathematics, statistics, data science, or machine learning.

Could you get in?
The grades students arrived with
64-79 pts5%
80-95 pts30%
96-111 pts30%
112-127 pts5%
128-143 pts15%
144-159 pts10%
160-175 pts5%
How they qualified
90% got in with A-levels. The rest came in a mix of ways:
A-levels90%
other higher education15%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
75%
In work or further study after
90%
Continue past first year
81%
Student satisfaction
What graduates earn over time
Β£21,500
3 years on
Β£25,000
5 years on
What students say National Student Survey
81%
of students are satisfied with the course overall
Teaching92%
Assessment & feedback85%
Academic support84%
Well organised92%
Learning resources69%
Student community78%
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 The University of Hull'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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