Mathematics and Economics BSc

Mathematics and Economics is a joint degree that combines the rigour of mathematical methods with the study of economic theory and policy. It is ideal for students who enjoy numbers, logic and problem-solving but also want to understand markets, growth, inequality and decision-making. This degree is particularly suited to those aiming for careers in finance, data science, consultancy or government policy.

Course Structure

Most Mathematics and Economics degrees last three years full time (BSc), or four years with a placement year, study abroad or an integrated master’s (MMath/MEcon). Some universities weight the course evenly between the two disciplines, while others lean more towards mathematics or economics depending on the programme design.

Teaching involves lectures, problem-solving classes, computer labs, tutorials and independent study. Assessment includes exams, problem sheets, essays, presentations, data projects and a final-year dissertation or extended research project.

Typical Modules

Year 1 – Foundations

Calculus and Linear Algebra

Probability and Statistics

Introduction to Microeconomics

Introduction to Macroeconomics

Mathematical Proof and Logic

Data and Computing for Economists

Year 2 – Core Development

Real and Complex Analysis

Differential Equations

Intermediate Microeconomics (consumer and producer theory)

Intermediate Macroeconomics (monetary and fiscal policy)

Econometrics and Applied Statistics

Game Theory and Mathematical Modelling

Year 3 – Advanced Study and Specialisation

Advanced Microeconomics or Industrial Organisation

Advanced Macroeconomics and International Finance

Stochastic Processes and Time Series

Financial Mathematics and Derivatives

Economic Policy Analysis and Political Economy

Dissertation or Independent Research Project (maths, economics, or combined)

Optional topics may include optimisation, behavioural economics, development economics, or machine learning for economics.

Useful A-Level or BTEC Subjects

• A levels: Mathematics (essential), Further Mathematics (strongly recommended), Economics, or Physics.

  
  

• BTECs: Rarely accepted unless combined with A level Maths.

  
  

• International Baccalaureate: Higher Level Maths is required; Economics is also useful.

What Makes a Strong Application

Universities look for students with excellent numeracy and logical reasoning skills, alongside an interest in real-world economic issues. A strong application should include:

• Top grades in Mathematics and (ideally) Further Maths.

  
  

• A personal statement demonstrating enthusiasm for both mathematical reasoning and economic analysis.

  
  

• Evidence of wider engagement, such as reading economic literature, following financial news, entering maths or economics competitions, or completing coding/data projects.

  
  

• Problem-solving ability shown through coursework or independent activities.

  
  

Transferable Skills You Will Develop

This degree develops a rare combination of quantitative and analytical skills highly valued across industries:

• Mathematical modelling – applying abstract methods to solve real-world problems.

  
  

• Economic reasoning – analysing policies, markets and decision-making.

  
  

• Statistical and econometric skills – handling large datasets and forecasting.

  
  

• Programming and data analysis – often using R, Python, MATLAB or Stata.

  
  

• Critical thinking and problem-solving – tackling complex theoretical and applied issues.

  
  

• Communication – explaining technical ideas clearly to diverse audiences.

  
  

Wider Reading: Recommended Books for Aspiring Students

Here are four engaging and relevant books:

“Freakonomics” by Steven D. Levitt and Stephen Dubner – An entertaining look at economics in everyday life.

“The Undercover Economist” by Tim Harford – Explains how economic principles shape the world.

“How Not to Be Wrong: The Power of Mathematical Thinking” by Jordan Ellenberg – A lively exploration of maths applied to real life.

“The Signal and the Noise” by Nate Silver – A guide to prediction and data analysis in uncertain environments.

Typical Pay After Graduation

Mathematics and Economics graduates are highly employable, especially in finance, consultancy, technology and government. Starting salaries are typically £28,000–£35,000. With experience, roles in investment banking, data science, economic consultancy or risk analysis can reach £45,000–£65,000. Senior positions in finance, consultancy or international organisations may exceed £80,000–£100,000+.