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

Mathematics with Statistics

University of Southampton
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

Mathematics with statistics is a degree that gives you the full rigour of a mathematics education alongside the specific tools and methods that statistics brings to the problem of reasoning under uncertainty. Pure mathematics develops your capacity for abstract thought, proof, and the rigorous manipulation of mathematical structures. Applied mathematics connects those structures to the physical and computational world.

Statistics provides the framework for drawing valid inferences from data, quantifying uncertainty, and designing experiments and studies that produce reliable knowledge. Together they equip you for the full breadth of careers where quantitative reasoning is valued.

At Southampton this three-year full-time programme gives you a thorough technical grounding in mathematics and builds substantial expertise in statistical thinking and method. You will study probability and statistical theory, linear models, time series analysis, and the computational tools used to implement statistical methods in practice, developing the ability to work with data in a rigorous and principled way. Clinical trials, quality control, environmental and medical research, and government statistical work are all areas where the skills you develop are directly applicable.

The combination of mathematical depth and statistical competence makes graduates highly sought after by employers who need people capable of working with quantitative evidence and communicating what it means.

Graduates move into careers as statisticians and data scientists in manufacturing, pharmaceutical research, environmental science, healthcare, finance, and government. The degree also provides an excellent platform for actuarial careers and for roles in data analytics, machine learning, and scientific research. Many graduates go on to postgraduate study in statistics, data science, or mathematics, building specialist expertise that opens doors to senior research and technical roles.

Could you get in?
The grades students arrived with
<48 pts30%
128-143 pts10%
160-175 pts25%
176-191 pts10%
240+ pts5%
How they qualified
80% got in with A-levels. The rest came in a mix of ways:
A-levels80%
other higher education20%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
88%
In work or further study after
90%
Continue past first year
84%
Student satisfaction
What graduates earn over time
Β£33,000
After 15 months
Β£32,000
3 years on
Β£42,500
5 years on
What graduates actually go on to do % of leavers
Business, Research and Administrative ProfessionalsHighly skilled25%
Elementary occupations5%
Finance ProfessionalsHighly skilled20%
Teaching and Childcare Support Occupation5%
Information Technology ProfessionalsHighly skilled15%
Business and public service associate professionalsHighly skilled10%
Artistic, literary and media occupationsHighly skilled5%
Teaching ProfessionalsHighly skilled5%
What students say National Student Survey
84%
of students are satisfied with the course overall
Teaching84%
Assessment & feedback80%
Academic support83%
Well organised86%
Learning resources82%
Student community91%
In students' own words
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Would do it again
This is the perfect place to study this subject. The best part: the teaching staff are genuinely world-class and accessible. If I'm honest, accommodation allocation was stressful in the first year. On the city β€” the city is a brilliant stud…
Postgraduate Β· Full-time
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A great decision
Honestly, one of the best decisions I've made. The best part: the teaching staff are genuinely world-class and accessible. If I'm honest, accommodation allocation was stressful in the first year. On the city β€” good transport links make it e…
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 Southampton'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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