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

Economics and Mathematics

University of St Andrews
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

Economics and mathematics is a combination that gives you two of the most powerful analytical toolkits available in the social and formal sciences. Mathematics provides the logical rigour, abstraction, and formal reasoning that underpin modern economic theory, while economics provides a rich domain of substantive questions about how markets, incentives, policies, and institutions shape human behaviour and material welfare. Studied together, the two disciplines reinforce each other: mathematics sharpens your ability to construct and solve formal economic models, while economics gives mathematical skills a meaningful and consequential area of application.

At the University of St Andrews, this four-year programme leads to an MA (Hons) and gives you a structured and cumulative grounding in both disciplines. In economics you will develop your understanding of microeconomic and macroeconomic theory, learn the quantitative and model-based methods that economists use to analyse behaviour and policy, and build your ability to engage with empirical evidence. The programme includes a year abroad, giving you the opportunity to study in another country and gain an international academic perspective.

In mathematics you will develop rigour in analysis, algebra, and applied mathematics, building the formal skills that support advanced economic thinking.

Graduates from economics and mathematics degrees are among the most versatile in the job market. Finance and investment, economic consulting, government economic analysis, data science, and academic research are among the most common destinations. The combination of formal mathematical training with substantive economic knowledge is particularly prized in roles that require building or evaluating quantitative models.

Many graduates go on to postgraduate study in economics, finance, mathematics, or statistics, deepening their expertise for research or specialist professional careers.

Could you get in?
The grades students arrived with
<48 pts2%
64-79 pts1%
96-111 pts1%
112-127 pts1%
144-159 pts4%
160-175 pts4%
176-191 pts6%
192-207 pts3%
208-223 pts9%
224-239 pts11%
240+ pts27%
How they qualified
81% got in with A-levels. The rest came in a mix of ways:
A-levels81%
the IB9%
a foundation year6%
another degree4%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
92%
In work or further study after
95%
Continue past first year
92%
Student satisfaction
What graduates earn over time
Β£33,500
After 15 months
Β£39,000
3 years on
Β£59,000
5 years on
What graduates actually go on to do % of leavers
Business, Research and Administrative ProfessionalsHighly skilled35%
Administrative occupations10%
Finance ProfessionalsHighly skilled30%
Information Technology ProfessionalsHighly skilled20%
Business and public service associate professionalsHighly skilled15%
Engineering professionalsHighly skilled5%
What students say National Student Survey
92%
of students are satisfied with the course overall
Teaching94%
Assessment & feedback89%
Academic support82%
Well organised94%
Learning resources91%
Student community92%
In students' own words
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Highly recommend
Coming here has changed how I think. The best part: the accounting and finance streams are taught by practitioners, not just academics. If I'm honest, would like to see more industry guest speakers in later years. On the city β€” good transpo…
Class of 2022 Β· Full-time
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Genuinely worthwhile
The course has exceeded my expectations. The best part: the accounting and finance streams are taught by practitioners, not just academics. If I'm honest, the timetable has some awkward 9am / Friday afternoon slots. On the city β€” the city i…
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 St Andrews'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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