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

Mathematics

University of Southampton
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 at master's level is the sustained, rigorous engagement with pure and applied mathematical ideas that takes you from the fundamentals of the discipline to its research frontiers. The four-year MMath at Southampton allows you to develop in depth across pure mathematics, applied mathematics, and statistics, working with leading researchers who introduce you to the full range of what contemporary mathematics encompasses, from cryptography to black holes, from fluid dynamics to algebraic topology. The extra year beyond a standard undergraduate degree is not an incremental addition but a transformation in the level and sophistication of what you engage with.

At Southampton, which has a strong research tradition in both pure and applied mathematics, this four-year full-time programme develops your mathematical maturity alongside your technical skills. You will cover advanced topics in analysis, algebra, differential equations, probability, and statistics, and you will have the opportunity to specialise in areas that interest you as the programme progresses. The MMath qualification is recognised by employers and academic institutions as evidence of mathematical depth, and it provides an ideal preparation for doctoral study in mathematics or a related quantitative field.

The typical entry tariff of 168 points reflects the academic demands of the programme.

MMath graduates are among the most highly valued in the graduate market. The combination of technical mathematical skills and the problem-solving mindset the degree develops is sought after in finance, investment banking, data science, software engineering, actuarial work, aerospace, and research across virtually every quantitative discipline. The master's-level qualification gives graduates an advantage in competitive graduate schemes and research programmes.

Postgraduate study leading to a PhD in mathematics, statistics, or a related field is the natural route for those with academic ambitions.

Could you get in?
The grades students arrived with
128-143 pts5%
144-159 pts30%
160-175 pts30%
176-191 pts20%
208-223 pts5%
240+ pts10%
How they qualified
100% got in with A-levels.
A-levels100%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
90%
In work or further study after
90%
Continue past first year
85%
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
Information Technology ProfessionalsHighly skilled35%
Sales occupations5%
Business, Research and Administrative ProfessionalsHighly skilled20%
Finance ProfessionalsHighly skilled10%
Business and public service associate professionalsHighly skilled10%
Welfare and housing associate professionalsHighly skilled5%
What students say National Student Survey
85%
of students are satisfied with the course overall
Teaching90%
Assessment & feedback93%
Academic support80%
Well organised90%
Learning resources82%
Student community95%
In students' own words
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Highly recommend
The course has exceeded my expectations. The best part: small-group tutorials really push your thinking. If I'm honest, would like to see more industry guest speakers in later years. On the city β€” local cost of living is manageable if you s…
Class of 2022 Β· Full-time
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A great decision
This is the perfect place to study this subject. The best part: the opportunity to do independent research in the final year is a highlight. If I'm honest, would like to see more industry guest speakers in later years. On the city β€” the cit…
Final year 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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