Mathematics with Economics MSci

4 Years On Campus Accelerated-bachelors Program

University College London

Program Overview

This four‑year MSci programme integrates a strong foundation in pure and applied mathematics with modules in economics, giving students both deep analytical tools and a clear understanding of economic theory and practice. It’s ideal for students who relish quantitative thinking and also see themselves working at the intersection of mathematics, economics and data‑driven decision‑making.

Curriculum structure

Year 1
In the first year, students take core modules in mathematics: for example Analysis 1, Analysis 2, Algebra 1, Algebra 2 and Mathematical Methods 1 / 2. They also begin economics with a compulsory module Economics 1 (30 credits) that introduces micro‑ and macro‑economics fundamentals.
Year 2
In year two the mathematics stream deepens, with options such as Probability and Statistics, Computational Methods, Number Theory, Algebra 4: Groups & Rings, or Analysis 4. At the same time students continue economic studies with further modules like Basic Microeconomic Concepts or An Introduction to Applied Economic Analysis.
Year 3
In the third year, students choose advanced mathematics modules (e.g., Mathematics of Electromagnetism & Special Relativity, Curves and Surfaces, Real Analysis), and higher‑level economics modules (options dependent on availability). This allows a personalised path balancing mathematics and economics.
Year 4
In the fourth (MSci) year students engage in specialist mathematics modules at Level 7, and undertake a substantial independent research project. Meanwhile they continue with advanced economics modules, enabling them to apply their mathematical skills to economic problems, modelling and data‑rich contexts.

Focus areas

“Pure and applied mathematics (analysis, algebra, modelling, computation) + economic theory and policy (microeconomics, macroeconomics, applied economic analysis) + independent research project”

Learning outcomes

“Students will hone rigorous mathematical reasoning, apply quantitative and statistical tools to economic contexts, integrate mathematical modelling with economic decision‑making, conduct independent research, and become effective analysts able to communicate both quantitative and economic insights.”

Professional alignment (accreditation)

Although specific professional accreditation details for this MSci are not emphasised in publicly available sources, the programme’s design aligns strongly with careers in quantitative finance, consulting, economics, data analysis, and further research.

Reputation (employability / rankings)

This programme is housed within UCL’s highly ranked mathematics department and strong economics units. The MSci option offers an additional year of depth, making graduates distinctive. The degree is listed among UCL’s flagship quantitative options and benefits from the university’s strong reputation and employability in the UK and internationally.

Experiential Learning (Research, Projects, Internships etc.)

The Mathematics with Economics MSci at University College London — tailored from the official programme description to show how students will actively engage, build practical skills, and apply mathematics in real‑world economic contexts.

From your first year you’ll be more than a passive learner. At UCL you’ll study mathematics modules (analysis, algebra, methods) alongside economics modules, with hands‑on tutorials, computer‑based work, group tasks and a major project in your final year. You’ll have access to the Department of Mathematics’ computing labs and the UCL library’s software‑resource collection, benefit from small‑group tutorials and personalised supervision, and build both quantitative rigour and practical economic insight. The MSci year gives you deeper study and an independent research‑type project.

Here’s how that plays out in practice:

Experiential Learning – You will:

Use computer labs, tutorials and problem‑sheets for the mathematics core: In year 1 you will cover modules like Analysis 1/2 and Algebra 1/2, with programming introduced in the first year.
Work with economic modelling and data analysis tools: The economics portion introduces micro‑ and macroeconomics in years 1–2, and in years 3–4 you take modules like Asset Pricing in Continuous Time and Quantitative & Computational Finance (Level 7) which combine maths and economics.
Participate in group projects and presentations: In your second year you’ll engage in a group mathematics‑topic research project and present your findings to your peers.
Undertake a substantial independent project in year 4 (MSci year): Your fourth year includes a major project supervised by a member of academic staff, typically comprising a written report and an oral presentation, worth about 25 % of the Year 4 assessment.
Choose from advanced mathematics and economics modules in years 3 and 4: You’ll move beyond foundational mathematics into options like Number Theory, Financial Mathematics, and advanced economics topics — enabling you to tailor your study to your interests.
Benefit from dedicated software and library resources: UCL’s Mathematics library‑guide lists software like Mathematica, MATLAB, Maple, SAS for student use.
Receive mentoring and academic support: The teaching model includes lectures, tutorials, office hours for one‑to‑one follow‑up, and a Student Mentor scheme for first‑year support.

Progression & Future Opportunities

Graduates from the MSci Mathematics with Economics program at University College London (UCL) gain a powerful combination of advanced mathematical expertise and economic insight. This equips them to tackle complex quantitative problems in finance, consulting, policy analysis, and data-driven research. Typical career roles include: economic analyst, quantitative financial analyst, data scientist, and management consultant.

Students benefit from strong career support and industry connections:

Tailored Career Services: UCL Careers provides specialised guidance, workshops, and internships focused on economics and quantitative roles, helping students secure competitive positions in top firms.
Graduate Outcomes: Over 90% of graduates are in employment or further study within 15 months of graduation (Graduate Outcomes Survey, HESA).
Salary Potential: Graduates typically earn starting salaries ranging from £35,000 to £45,000, reflecting the demand for professionals with strong analytical and economic skills.
Industry Partnerships: UCL collaborates with leading organisations such as HM Treasury, Bank of England, Deloitte, and PwC, providing students with networking opportunities, internships, and applied project experiences.
Professional Recognition: The degree’s rigorous curriculum and interdisciplinary approach ensure long-term accreditation value and recognition among employers worldwide.
Alumni Success: Graduates often advance to influential roles in financial institutions, economic research centres, policy-making bodies, and international consultancy firms.

Further Academic Progression:
Graduates may continue their studies with MSc or PhD programs in Economics, Financial Mathematics, Data Science, or Quantitative Finance. UCL offers exceptional opportunities for advanced research through its Department of Economics and Department of Mathematics, supporting students who wish to deepen expertise in economic modelling and quantitative analysis.