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

Mathematics, Statistics and Economics

University of Strathclyde
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, statistics and economics is a combination that brings together three quantitative disciplines that, in the modern world, are deeply intertwined. Mathematics provides the formal language of rigorous argument and the toolkit of techniques, from calculus and algebra to proof and numerical methods, that all quantitative work depends on. Statistics provides the methods for collecting, analysing and drawing inferences from data, dealing with uncertainty in a principled way.

Economics uses both to study how resources are allocated, how markets and institutions work, and how the decisions of individuals and governments shape the economy and society.

At the University of Strathclyde, this four-year programme gives you a thorough grounding in all three disciplines. Each year contains compulsory modules in mathematics and statistics alongside economics, with opportunities to explore different areas of mathematics and to choose elective modules from other subject areas as you progress. You will develop both the theoretical understanding and the quantitative skills to engage with complex economic and statistical problems, progressing to more advanced material in all three disciplines as the degree unfolds.

A year abroad is part of the programme, giving you the opportunity to study at an international partner institution.

Graduates in mathematics, statistics and economics are exceptionally well placed in the jobs market. Careers in economic analysis, financial services, data science, actuarial work, management consultancy, central banking, government economic services and academic research are all natural destinations. The combination of mathematical precision, statistical competence and economic understanding is particularly powerful in roles that require the ability to model complex systems, interpret data and communicate findings clearly to non-specialists.

Postgraduate study in economics, mathematics, statistics, finance or data science is a well-supported route for those seeking further specialisation or academic careers.

Could you get in?
The grades students arrived with
80-95 pts2%
96-111 pts7%
112-127 pts11%
128-143 pts3%
144-159 pts12%
160-175 pts3%
176-191 pts8%
192-207 pts7%
208-223 pts5%
224-239 pts18%
240+ pts24%
How they qualified
77% got in with A-levels. The rest came in a mix of ways:
A-levels77%
other higher education13%
Other5%
no formal qualifications4%
an Access course1%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
90%
In work or further study after
84%
Continue past first year
90%
Student satisfaction
What graduates earn over time
Β£32,000
3 years on
Β£43,500
5 years on
What graduates actually go on to do % of leavers
Finance ProfessionalsHighly skilled35%
Sales occupations13%
Business, Research and Administrative ProfessionalsHighly skilled25%
Administrative occupations10%
Elementary occupations9%
Business and public service associate professionalsHighly skilled15%
Leisure, travel and related personal service occupations5%
Information Technology ProfessionalsHighly skilled11%
What students say National Student Survey
90%
of students are satisfied with the course overall
Teaching87%
Assessment & feedback90%
Academic support78%
Well organised89%
Learning resources89%
Student community92%
In students' own words
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Would do it again
Honestly, one of the best decisions I've made. 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€” the city is a brilliant student city …
Class of 2022 Β· Full-time
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A great decision
Coming here has changed how I think. The best part: the teaching staff are genuinely world-class and accessible. If I'm honest, some seminar groups were too big for meaningful discussion. On the city β€” the city is a brilliant student city w…
Class of 2022 Β· Full-time
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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 University of Strathclyde'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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