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

Mathematics with French

Queen's University of Belfast Β· Belfast
Qualification
Degree
Length
4 yrs
UK fees / yr
Β£9,535
Study
full-time
Worth knowing: about 20% of students don't make it past first year here - ask the uni what support they offer.
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 is the discipline that underpins modern science, technology, finance, and much of the analytical life of the twenty-first century. It is also a subject of deep intrinsic interest, with its own aesthetic and its own kind of understanding that no other field quite replicates. Combining mathematics with French adds a linguistic and cultural dimension that opens professional and academic opportunities across the Francophone world and gives you a genuinely unusual portfolio of skills.

At Queen's University Belfast, this four-year full-time degree is specifically designed for mathematicians with an interest and background in French, offering rigorous mathematical training alongside serious engagement with the French language. The programme typically includes a year spent abroad studying mathematics through the medium of French, giving you both linguistic immersion and the rare experience of engaging with mathematical ideas in another language and academic tradition. This year abroad is a distinctive and demanding element of the degree, requiring you to function academically in French and to build relationships within a French-speaking university environment.

You will study the core areas of mathematics, developing both the pure mathematical reasoning and the applied mathematical skills that make well-qualified mathematicians so sought after across a wide range of industries and professions. The French component develops your language competence alongside the cultural understanding that professional life in a Francophone context requires.

Graduates go on to careers in finance, data science, actuarial work, engineering, technology, education, and the public sector, as well as in roles with an international or French-speaking dimension. The combination of mathematical rigour and French fluency is particularly valuable for careers in international financial institutions, European organisations, and research environments where Francophone collaboration matters. Many graduates also continue to postgraduate study in mathematics, statistics, or related fields.

Could you get in?
The grades students arrived with
112-127 pts5%
128-143 pts20%
144-159 pts40%
160-175 pts10%
176-191 pts10%
192-207 pts10%
224-239 pts5%
240+ 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
80%
In work or further study after
80%
Continue past first year
86%
Student satisfaction
What graduates earn over time
Β£28,000
After 15 months
What graduates actually go on to do % of leavers
Information Technology ProfessionalsHighly skilled20%
Secretarial and related occupations5%
Teaching and Childcare Support Occupation5%
Teaching ProfessionalsHighly skilled15%
Sales occupations5%
Natural and social science professionalsHighly skilled10%
Business, Research and Administrative ProfessionalsHighly skilled10%
Finance ProfessionalsHighly skilled10%
What students say National Student Survey
86%
of students are satisfied with the course overall
Teaching82%
Assessment & feedback85%
Academic support84%
Well organised87%
Learning resources82%
Student community86%
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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 Queen's University of Belfast'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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