Online BSc Mathematics and EconomicsOnline BSc Mathematics and EconomicsOnline BSc Mathematics and Economics

Awarded by the University of London
Academic Direction from the London School of Economics and Political Science
Awarded by the University of London
Academic Direction from the London School of Economics and Political Science
Awarded by the University of London
Academic Direction from the London School of Economics and Political Science

The online BSc Mathematics and Economics programme from the University of London is designed for students who are passionate about mathematics, particularly its applications in economics, finance and other social science specialisms. This programme is directed by the London School of Economics and Political Science (LSE), one of the foremost social science universities in the world.

Apply mathematics proofs, techniques and theories to a variety of economic issues.

Formulate and use quantitative models arising in social science, business and other contexts.

Apply economic principles and quantitative techniques to the analysis of economic data.

Programme Structure

This programme enables students of strong mathematical ability to move beyond discrete calculations and basic numeracy. Designed by leading academics from the LSE Departments of Economics and Mathematics, your courses will help you analyse the root causes and mathematical underpinnings of economic issues. You’ll also cultivate a deeply analytical approach to thinking, reasoning and problem solving – one you’ll be able to apply to advanced degrees and professional paths alike.

Build your quantitative base.
Deepen your study of mathematics with linear algebra and calculus courses, and establish a robust foundation in economics and statistics.

Formalise your methods.
Explore abstract mathematics and intermediate economics, and use mathematical models and techniques to prove results and analyse theories.

Apply your knowledge.
Learn how data and statistics are used in diverse economic contexts, market research, machine learning and advanced abstract mathematics.

View this programme on the University of London website.
View the Programme Specification.

Admissions Deadlines

Early Priority Deadline

1 October 2021

Priority Deadline

29 October 2021

Final Application Deadline

26 November 2021

Programme Starts

7 February 2022

Learn about admissions process.

Sample Course Sequence

The maximum period of registration for this programme is six years, but we suggest you aim to complete your programme within three to four years. To complete the programme in as few as three years, students must take four full courses (or equivalent) each year.

The table below shows the suggested course sequence for a three-year completion timeline. All full courses are 30 credits and take 20 weeks of learning. Half courses are 15 credits and include 10 weeks of learning.

Year One

MT1186 Mathematical Methods

ST104A Statistics 1*

ST104B Statistics 2*

EC1002 Introduction to Economics

MT1173 Algebra

Year Two

EC2066 Microeconomics

EC2065 Macroeconomics

MT2116 Abstract Mathematics

MT2176 Further Calculus*

MT2175 Further Linear Algebra*

Year Three

EC2020 Elements of Econometrics 
OR
EC3099 Industrial Economics
OR
EC3115 Monetary Economics

ST3189 Machine Learning
OR
ST3188 Statistical Methods for Marketing Research

EC3099 Industrial Economics
OR
EC3115 Monetary Economics
OR
IR3026 International Political Economy

Open Choice**

* Half course
** Open choice courses: Choose a) one 100-, 200- or 300-level course (or two half courses) from the course selection list (PDF 1.3 MB) or b) two LSE summer school courses.

View the Programme Regulations.

Course Spotlight: Abstract MathematicsCourse Spotlight: Abstract MathematicsCourse Spotlight: Abstract Mathematics

This course, an introduction to formal mathematical reasoning, addresses the fundamental concepts, underlying principles and constructions of mathematics. Using discrete mathematics, algebra and real analysis, you’ll learn how to formulate, prove and disprove mathematical statements in precise terms – a vital skill set as you prepare for more advanced courses in mathematics, statistics and economics.This course, an introduction to formal mathematical reasoning, addresses the fundamental concepts, underlying principles and constructions of mathematics. Using discrete mathematics, algebra and real analysis, you’ll learn how to formulate, prove and disprove mathematical statements in precise terms – a vital skill set as you prepare for more advanced courses in mathematics, statistics and economics.This course, an introduction to formal mathematical reasoning, addresses the fundamental concepts, underlying principles and constructions of mathematics. Using discrete mathematics, algebra and real analysis, you’ll learn how to formulate, prove and disprove mathematical statements in precise terms – a vital skill set as you prepare for more advanced courses in mathematics, statistics and economics.

Why Earn a BSc Mathematics and Economics?

Studying mathematics in conjunction with economics prepares you to solve practical problems through abstract reasoning – an increasingly valuable skill in professional and academic settings.

Graduates of this programme are well-suited to pursue further study in disciplines such as economics and econometrics, finance and financial mathematics, computer science, operational research and management. While many graduates enter fields like finance and consultancy, they’re also highly qualified for technical fields like data science and information technology. A mathematics and economics qualification equips you with the skill set needed to pursue employment in:

  • Accountancies
  • Consultancies
  • Financial services
  • Information technology
  • Insurance firms
  • Retail and commercial banks
  • Tech companies

With transferable quantitative skills and social science knowledge, you can consider a variety of roles, including:

Economist

Advise organisations on economic issues and trends by examining existing policies and creating mathematical models to predict future developments.

Data Analyst-Statistician

Use data to identify trends, patterns and relationships, effectively communicate results, and help organisations translate your findings into informed decisions.

Investment Analyst

Advise traders and fund managers on investment decisions by researching new opportunities and staying abreast of economic developments that may affect financial markets.

Management Consultant

Help organisations navigate existing and emerging challenges, improve efficiency, analyse performance, assess risk and identify opportunities for growth.

Operational Researcher

Use statistics, data science and mathematics to analyse organisations and help leaders identify ways to increase productivity and mitigate operational hurdles.

Modern Economics with a Mathematical Perspective

Complete our brief form to connect with a dedicated admissions counsellor and learn more about the online BSc Mathematics and Economics.