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

Mathematics with Finance

University of Sussex
Qualification
Degree
Length
4 yrs
UK fees / yr
£9,535
Study
Full-time
Ottalie · 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

Use your passion for maths to succeed in today’s financial industries. Learn from the latest research and graduate with essential research and industry skills. Use your passion for maths to succeed in today’s financial industries.

Learn from the latest research and graduate with essential research and industry skills. If you’re passionate about mathematics and also want to explore today’s financial industries, this integrated Masters course is for you. The course is particularly relevant if you’re interested in a career in research at a university or in industry.

You’ll build on your core knowledge of pure and applied mathematics and statistics, while discovering the world of mathematics tailored to financial analysis. You’ll learn from experts in both disciplines. Our modules are based on the latest research.

You’ll experience contemporary concepts in mathematics and gain a solid grounding in how they apply outside of the classroom. Early on in your degree you take core modules.

Could you get in?
The grades students arrived with
<48 pts1%
64-79 pts3%
80-95 pts1%
96-111 pts6%
112-127 pts28%
128-143 pts17%
144-159 pts5%
160-175 pts6%
176-191 pts2%
192-207 pts1%
How they qualified
Could I get in? Try your grades
120 UCAS pts
Pay & prospects
89%
In work or further study after
65%
In professional / skilled jobs
What graduates earn over time
£28,000
After 15 months
£30,000
3 years on
£38,500
5 years on
More courses like this
Like the look of it?
When you're ready, the full entry requirements and application are on University of Sussex's own site.
Apply on uni site
Careermash · 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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