Mathematics with Economics BSc

3 Years On Campus Bachelors Program

University of Sussex

Program Overview

The Mathematics with Economics BSc at the University of Sussex is a three-year undergraduate degree that combines core mathematical theory with economic analysis, helping students understand how quantitative methods are used to explain real-world economic behaviour. It is ideal for students who enjoy mathematics but also want to apply their skills to economics, policy, finance, and data-driven decision-making.

Curriculum Structure

Year 1 – Core Foundations
In the first year, students develop essential mathematical skills through modules such as Calculus of Several Variables, Ordinary Differential Equations, and Introduction to Probability. Alongside this, Microeconomics 2 introduces key economic concepts, enabling students to begin linking mathematical methods with economic reasoning from the outset.

Year 2 – Analytical Development and Economic Context
The second year strengthens theoretical understanding with modules including Probability and Statistics and Real Analysis, building precision and mathematical rigour. Students also study Global Economic History, gaining insight into how economic systems evolve and how quantitative analysis can be used to interpret long-term economic trends.

Year 3 – Advanced Topics and Independent Work
In the final year, students explore higher-level material such as Partial Differential Equations, International Trade, and Behavioural Economics, bringing mathematical modelling and economic theory together. The Maths Matters (Project) develops independent research and problem-solving skills, while optional modules allow students to tailor the degree toward areas such as Financial Mathematics, Data Science, or Machine Learning.

Focus Areas (in a string)

Mathematical analysis, probability and statistics, economic theory, differential equations, behavioural economics, quantitative modelling, data analysis

Learning Outcomes (in a string)

Strong quantitative and analytical skills, ability to apply mathematics to economic problems, statistical reasoning, independent problem-solving, effective communication of technical ideas, preparation for data-driven careers or postgraduate study

Professional Alignment (Accreditation)

The degree aligns with the academic standards set by the Institute of Mathematics and its Applications (IMA), supporting progression toward professional mathematical recognition and further study.

Reputation (Employability Rankings)

Mathematical Sciences at the University of Sussex achieved a strong performance in the Research Excellence Framework (REF 2021), with a high proportion of research rated world-leading or internationally excellent. Sussex also performs well for student satisfaction and graduate prospects in mathematics-related subjects across major UK league tables.

Experiential Learning (Research, Projects, Internships etc.)

This BSc degree is designed to give you strong mathematical foundations while showing you how those skills are used to understand real economic systems. From early in the course, you’ll apply mathematics to economics through problem-solving, data analysis, and modelling, rather than learning concepts in isolation. You’ll gain experience using programming and statistical tools such as Python and R, and you’ll regularly work on applied exercises that reflect how mathematics supports decision-making in economics, finance, and policy. As you progress, your learning becomes increasingly independent, preparing you for employment or postgraduate study.

Experiential learning on this course is built into your studies through practical application and academic facilities, including:

Programming and data analysis tools: You’ll use Python and R to carry out statistical analysis, economic modelling, and quantitative problem-solving relevant to real-world economic data.
Applied mathematical and economic modules: Core modules combine mathematical techniques with economic theory, covering areas such as statistics, econometrics, optimisation, and mathematical modelling for economics.
Problem-based learning: Many modules emphasise worked examples, exercises, and coursework that require you to apply theory to practical scenarios rather than relying only on exams.
Group work and collaboration: You’ll take part in group-based coursework and problem-solving activities, helping you develop teamwork and communication skills valued by employers.
Research-informed teaching: You’re taught by academics whose research feeds directly into the curriculum, helping you understand how mathematics and economics are used in current research and practice.
Computing and digital facilities: The university provides extensive computing resources, specialist mathematical and statistical software, and campus-wide high-speed Wi-Fi to support coursework and independent study.
Library and academic support: The University of Sussex Library offers access to key mathematical and economic resources, quiet study areas, group study spaces, and academic skills support throughout your degree.
Careers and employability guidance: You’ll receive tailored careers support, including help with CVs, interviews, and exploring internships or further study options related to economics and quantitative roles.

Why this degree stands out:
You graduate with a solid mathematical skillset, practical experience using analytical software, and a clear understanding of how mathematics underpins economics — a strong foundation for careers in economics, finance, data analysis, public policy, or progression to an integrated Masters.

Progression & Future Opportunities

Graduates of the Mathematics with Economics BSc at the University of Sussex build strong analytical careers or progress into advanced study by combining mathematical reasoning with economic understanding: common graduate roles include business/data analyst, economic analyst, financial analyst, and policy or research assistant. Many graduates move quickly into skilled employment or continue their studies, using the degree as a platform for higher-level quantitative careers.

University services that support employability
• Sussex’s Careers and Entrepreneurship team supports students from their first year with one-to-one career guidance, CV and interview coaching, and employer-led skills sessions.
• Through Career Lab, students can access paid internships, student consultancy projects, and short-term professional experiences that allow them to apply mathematical and economic theory in real-world contexts.
• Placement and internship guidance helps students secure relevant experience in finance, analytics, business, and public-sector organisations.
Employment outcomes and salary potential
• A strong majority of Sussex graduates are in work or further study within 15 months of graduation.
• Mathematics with Economics graduates commonly enter finance, business analytics, consulting, public policy, research, and technology-related roles.
• Early-career salaries typically start in the high £20,000s to around £30,000, with clear progression as graduates move into more specialised or senior analytical roles.
University–industry engagement
• Sussex connects students with employers through internships, consultancy projects, and employer insight events, helping them understand how quantitative economics is applied in professional settings.
• These experiences help students develop commercial awareness and transferable skills alongside academic knowledge.
Accreditation and long-term value
• The Mathematics with Economics BSc is aligned with professional expectations for mathematically focused degrees, ensuring strong recognition by employers and postgraduate institutions.
• The degree’s rigorous mathematical foundation supports long-term career flexibility and progression.
Graduation outcomes
• Graduates leave with skills in mathematics, statistics, economics, data handling, and problem-solving, making them adaptable across a wide range of analytical and data-driven careers.

Further Academic Progression:
After completing the Mathematics with Economics BSc, students can progress to postgraduate study, including Master’s degrees in economics, finance, data science, statistics, or applied mathematics. High-performing graduates may also progress to an integrated Master’s (MMath) or prepare for doctoral research, depending on career goals and academic interests.