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

Mathematics and Economics

University of Newcastle Upon Tyne Β· Newcastle
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 economics is a degree that positions you at the rigorous quantitative frontier of one of the most important social sciences. Pure mathematics develops your capacity for abstract logical reasoning, proof, and the manipulation of mathematical structures. Applied mathematics builds the tools for modelling real-world phenomena.

Economics uses these tools to understand how individuals and societies make decisions about scarce resources, how markets work, and what the effects of policy are on distribution and welfare. The combination produces graduates equipped to do economics as it is practised at the highest professional level.

At Newcastle University, you will combine both pure and application-driven mathematics, developing the capacity to use mathematics to solve practical problems. You will explore the relationship between mathematical modelling and economics, examining how societies attempt to make the best use of their scarce resources. The programme covers microeconomics, macroeconomics, econometrics, and a range of mathematical topics from analysis and algebra to optimisation and statistics.

It includes a sandwich placement year, a year abroad, and a work placement, and runs over three years full-time.

Graduates of mathematics and economics programmes are highly sought after in investment banking, economic consultancy, actuarial science, data science, the civil service, and policy research. The quantitative rigour the degree develops is directly applicable to the most analytically demanding roles in the graduate market. Many graduates go on to postgraduate study in economics, finance, or mathematics at leading universities, where the combination of mathematical depth and economic knowledge provides excellent preparation for advanced work.

Could you get in?
The grades students arrived with
80-95 pts5%
96-111 pts10%
112-127 pts15%
128-143 pts30%
144-159 pts25%
160-175 pts5%
176-191 pts5%
208-223 pts5%
How they qualified
95% got in with A-levels. The rest came in a mix of ways:
A-levels95%
other higher education5%
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
84%
In work or further study after
90%
Continue past first year
90%
Student satisfaction
What graduates earn over time
Β£30,000
After 15 months
Β£34,000
3 years on
Β£47,000
5 years on
What graduates actually go on to do % of leavers
Finance ProfessionalsHighly skilled42%
Administrative occupations15%
Elementary occupations5%
Business and public service associate professionalsHighly skilled24%
Teaching ProfessionalsHighly skilled20%
Skilled trades occupations2%
Information Technology ProfessionalsHighly skilled15%
Business, Research and Administrative ProfessionalsHighly skilled5%
What students say National Student Survey
90%
of students are satisfied with the course overall
Teaching88%
Assessment & feedback77%
Academic support67%
Well organised96%
Learning resources91%
Student community84%
In students' own words
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Highly recommend
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, would like to see more industry guest speakers in later years. On the city β€” local cost of living is m…
Class of 2024 Β· Full-time
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Exceeded expectations
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, some seminar groups were too big for meaningful discussion. On the city β€” the city is a brilliant st…
Postgraduate 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 Newcastle Upon Tyne'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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