Mathematics with Economics BSc

3 Years On Campus Bachelors Program

University College London

Program Overview

This programme merges a broad foundation in mathematics with substantive study in economics, making it ideal for a student who thrives on analytical thinking and also wants to understand economic systems and business dynamics. It suits someone aiming to build rigorous quantitative skills and apply them to financial, economic or policy environments.

Curriculum structure:

Year 1:
In the first year, students undertake compulsory mathematics modules such as Analysis 1, Analysis 2, Algebra 1, Algebra 2, and Mathematical Methods 1 and 2. At the same time they begin economics study via an introductory Economics 1 (Combined Studies) 30 credits module, introducing core concepts in micro‑ and macro‑economics.

Year 2:
In the second year the mathematics stream deepens further (for example, Number Theory, Probability & Statistics, Geometry and Groups), while the economics stream builds with a module such as Economics 2 (Combined Studies) which brings in game theory, macro‑growth theory and economic modelling. Students also gain the option to choose from mathematical and outside‑department modules to tailor their interests.

Year 3:
In the third year, students are free to choose from a wide range of advanced mathematics modules (such as Combinatorics, Financial Mathematics, Mathematical Biology) as well as advanced economics modules that may include topics in financial economics, econometrics or economic history. This gives them flexibility to align their final year with career goals or further study.

Focus areas:
Mathematics (both pure and applied) + Economics (microeconomics, macroeconomics, economic modelling, business and policy applications).

Learning outcomes:
Graduates will be able to apply advanced mathematical reasoning; analyse data and mathematical models; understand economic systems and apply economic theory; solve problems in finance/business/industry contexts; and adapt their quantitative and economic expertise to diverse career paths.

Professional alignment (accreditation):
While the programme does not list a specific professional accreditation, the modules emphasise development of skills highly valued by employers: numeracy, modelling, economic reasoning and analytical thinking. These are directly relevant to sectors such as finance, banking, consulting, government and data‑analysis.

Reputation (employability rankings):
UCL’s Mathematics department enjoys a strong reputation — for example the subject is ranked 6th in the UK in the QS World University Rankings by Subject 2024. Graduates from the programme have secured positions with major organisations such as Deloitte, Goldman Sachs, JP Morgan, Amazon and Deutsche Bank.

Experiential Learning (Research, Projects, Internships etc.)

Students in the Mathematics with Economics programme engage actively with rigorous mathematics and economic theory from the outset — they don’t just listen to lectures—they work through problem sheets, attend computer‑laboratories, participate in small‑group tutorials, and experience applied economics alongside their mathematical studies. The Department of Mathematics provides computing facilities and computer‑labs where students complete modules such as “Introduction to Coding” and “Mathematical Methods”, embedded in the first year. The economics component brings in micro‑economics, macro‑economics and game‑theory in the second year, through case‑studies and group tasks.

From these foundations the experiential elements include:

Specialist computing and mathematics labs: In the first year students undertake work in computer labs (e.g., coding, mathematical methods modules) as part of the curriculum.
Small‑group tutorials and problem‑sessions: Lectures are supported by regular problem‑sheets, tutorials and labs—particularly in mathematics—to ensure active, hands‑on problem solving.
Group project and presentation work: During the second year students complete a group project in mathematics (on a topic linked to their syllabus) culminating in a presentation.
Choice of advanced optional modules: In the third year students may select from advanced mathematics and economics topics (e.g., number theory, combinatorics or advanced micro‑economics) giving them the chance to design their own practical interests.
Cross‑discipline integration of economics and mathematics: The programme includes core economics modules (micro, macro, growth theory) alongside mathematical modules (analysis, algebra, methods) in the early years. This means students apply mathematical tools within economic contexts.
Access to library and study resources: Being at UCL means students have full access to its libraries and digital learning tools, enabling independent research, group work and extended learning beyond lectures.
Dedicated tutor support and one‑to‑one opportunities: ‘Office hours’ for each module and the Student Mentor scheme give students the opportunity to deepen understanding, ask questions and refine their learning.

Progression & Future Opportunities

Graduates of the Mathematics with Economics BSc at UCL are highly sought after for roles that combine quantitative analysis with economic insight. Typical career paths include positions in financial analysis, economic consulting, data science, and policy advising:

UCL Careers Services: Students benefit from UCL Careers’ tailored support for economics and finance, including one-to-one guidance, CV and interview workshops, and access to internships with global financial institutions and consultancies.
Employment stats and salary figures: Over 90% of UCL mathematics graduates are employed or in further study within six months. Starting salaries for quantitative and economics-focused roles typically range from £30,000–£45,000.
University–industry partnerships: UCL maintains strong collaborations with banks, investment firms, think tanks, and policy organizations, offering students hands-on project experience, networking events, and summer placements.
Long-term accreditation value: This interdisciplinary degree is internationally respected, providing graduates with a robust analytical foundation and economic expertise valued in both private and public sectors.
Graduation outcomes: Alumni often take up roles as financial analysts, economic consultants, data scientists, policy advisors, or investment analysts.

Further Academic Progression:
Graduates can pursue advanced studies in Economics, Finance, Data Science, or Quantitative Social Science. Options include MSc programs at UCL or other top universities, PhD research in Economics or Applied Mathematics, or professional qualifications in finance, actuarial science, or business analytics.