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

Mathematics and Statistics

The University of Manchester Β· Manchester
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 and statistics together form a discipline of remarkable scope. Mathematics provides the structural language of quantity, pattern and proof, while statistics supplies the tools for drawing reliable conclusions from data about the uncertain and variable world. Together they underpin fields from medical research to financial modelling, from engineering design to artificial intelligence, making the combination one of the most versatile and sought-after in higher education.

At Manchester, this programme builds a rigorous foundation in both pure and applied mathematics alongside the theory and practice of statistical inference. You will study analysis, algebra, probability, stochastic processes, regression, computational methods and more, developing the ability to move fluently between abstract reasoning and practical data work. The programme includes a foundation year, which provides additional preparation for students entering with non-standard qualifications or who benefit from a strengthened grounding before the main degree begins.

It also offers a sandwich year and work placement opportunities, meaning you can spend time working in a professional environment, applying mathematical and statistical methods in a real organisational context before returning to complete your studies. This practical experience deepens your understanding of how the discipline functions outside academic settings. The typical entry tariff is 72 UCAS points.

Graduates in mathematics and statistics are among the most employable in the UK. Careers span data science, actuarial science, financial analysis, operations research, public health statistics, government analysis and software development. Many graduates continue to postgraduate study in areas such as statistics, machine learning, econometrics or applied mathematics.

The analytical precision and quantitative confidence developed through this programme transfer across industries, and employers consistently report that mathematically trained graduates can solve problems that specialists in other disciplines cannot.

Could you get in?
The grades students arrived with
<48 pts10%
48-63 pts15%
64-79 pts5%
176-191 pts10%
224-239 pts5%
240+ pts10%
How they qualified
80% got in with A-levels. The rest came in a mix of ways:
A-levels80%
a foundation year15%
the IB5%
another degree5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
86%
In work or further study after
90%
Continue past first year
89%
Student satisfaction
What graduates earn over time
Β£30,000
After 15 months
Β£31,000
3 years on
Β£42,000
5 years on
What graduates actually go on to do % of leavers
Administrative occupations7%
Information Technology ProfessionalsHighly skilled26%
Finance ProfessionalsHighly skilled17%
Elementary occupations6%
Business, Research and Administrative ProfessionalsHighly skilled14%
Skilled trades occupations3%
Sales occupations2%
Teaching ProfessionalsHighly skilled8%
What students say National Student Survey
89%
of students are satisfied with the course overall
Teaching88%
Assessment & feedback85%
Academic support81%
Well organised91%
Learning resources89%
Student community81%
In students' own words
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Highly recommend
I was sceptical before starting β€” now I'd recommend it to anyone. The best part: the course strikes a good balance between theory and practical application. If I'm honest, first-year classes can be quite large. On the city β€” good transport …
Class of 2024 Β· Part-time
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Highly recommend
Honestly, one of the best decisions I've made. The best part: small-group tutorials really push your thinking. If I'm honest, first-year classes can be quite large. On the city β€” local cost of living is manageable if you share a house in se…
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 The University of Manchester'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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