DPT: Mathematics and Business BSc (Hons) (UTBSCMATBU1F)

Jump to: Year 1, Year 2, Year 3, Year 4

Year 1 Academic year: 2025/26, Starting in: September

Before selecting your outside courses, please refer to the course selection information at https://teaching.maths.ed.ac.uk/main/undergraduate/getting-started/course-selection-and-timetabling

Some compulsory courses 'must be passed' before students are permitted to progress to the next year of the programme. This condition is stated clearly in the information below.

Please note that, for students who are in Year 1 in 2025/26, subsequent Years' DPTs will differ from those displayed here. In particular, new courses will be delivered for Year 2 in 2026/27. Please see 'Year 2 Course Choices' on the Learn 'Getting started with your Maths Degree (2025-26)' page for further information.

Compulsory courses

Introduction to Mathematics at University

Must be passed and taken during Semester 1

Linear Algebra 1

Must be passed and taken during Semester 2

Introduction to Mathematical Analysis

Must be passed and taken during Semester 2

Global Challenges for Business

Must be taken during Semester 1

The Business of Edinburgh

Must be taken during Semester 2

Course options

Choose this course if you do not have Advanced Higher Mathematics; or you have Grade C or below in Advanced Higher Mathematics; or if you do not have A Level Further Mathematics.

Fundamentals of Algebra and Calculus

AND

Introduction to Data Science

AND

Students are *recommended* to take ECNM08004 Economic Principles (20 credits).
Students must consult course prerequisites and other requirements carefully when making course choices.

Year 2 Academic year: 2025/26, Starting in: August

Some compulsory courses 'must be passed' before students are permitted to progress to the next year of the programme. This condition is stated clearly in the information below.

Compulsory courses

Several Variable Calculus and Differential Equations

Must be passed and taken during Semester 1

Probability

Must be taken during Semester 1

Fundamentals of Pure Mathematics

Must be taken during Semester 2

Statistics (Year 2)

Must be taken during Semester 2

Facets of Mathematics

Must be taken during Semester 1

Computing and Numerics

Must be taken during Semester 2

Course options

It is recommended that students planning to undertake the BUST10158 Business Honours Dissertation enrol in BUST08056 BRMII: Research Design and Application in Year 2.

Business Research Methods 2: Research Design and Application

AND

Accounting for Business 2

Principles of Finance

Marketing

Business Economics

International Business: Globalisation and Trade 2A

International Business and the Multinational Enterprise 2B

Human Resource Management 2

Organisational Behaviour 2

Business Simulation

Business Analytics and Information Systems

Fundamentals of Programming for Business Applications

Understanding and Delivering Public Services

Planning for a start-up

Innovation and Enterprise

Strategic Marketing Insights

Year 3 Academic year: 2025/26, Starting in: August

Students wishing to undertake a non-compulsory Year Abroad in Year 3 should have achieved 'A' grades in the following courses:

- Introduction to Linear Algebra
- Proofs and Problem Solving
- Calculus and its Applications
- Several Variable Calculus and Differential Equations
- Fundamentals of Pure Mathematics

Compulsory courses

Honours Differential Equations

Must be taken during Semester 1

Course options

Honours Complex Variables

Honours Analysis

AND

Stochastic Modelling (Undergraduate)

Honours Analysis

Combinatorics and Graph Theory

Geometry

Statistical Methodology

Numerical Linear Algebra

AND

Financial Mathematics

Numerical Ordinary Differential Equations and Applications

Honours Complex Variables

Honours Algebra

Introduction to Number Theory

Linear Programming, Modelling and Solution

Statistical Computing

Applied Statistics

Metric Spaces

Classical Mechanics for Mathematicians

AND

BUST09007 Preparing for your Dissertation and CMSE1003 Business Research Methods II: Applications and Analysis are recommended for students intending to take BUST10158 Business Honours Dissertation.

Behavioural Finance and Market Efficiency

The Accounting Profession

Preparing for your Dissertation

Business Ethics

International Business in Emerging Markets

The Economics of Corporate Strategy

Futures and Options

Quality Management

Managing Employment Law

Operations Strategy

International Strategic Management in Practice

Managing Change

The Entrepreneurial Manager

Economic Aspects of Competition Policy

Applications of Human Resource Management

Decision Analytics

Mathematical Programming in Advanced Analytics

Management Science and Operations Analytics

Business and Society: The Impact of Globalisation

Global Creative Industries: The art of business and the business of art

Service Management in an International Context

Digital Business

The Future of Work

Global Business and the Sustainable Development Goals

Mergers, Acquisitions, and Corporate Restructuring

Eco-Innovation for a Circular Economy

Global Macro Investing

Marketing & Climate Change

Crisis Management for Organisations

Entrepreneurship and Business Growth

Managing in the third sector

Strategic Management

Business Research Methods II: Applications and Analysis

AND

This course is compulsory for students who intend to write the Business Honours Dissertation. If you did not take BUST08056 BRMII: Research Design and Application in Year 2, you should also audit this course.

Preparing for your Dissertation

Year 4 Academic year: 2025/26, Starting in: August

There are no compulsory courses in this year of this programme.

Course options

Taking Statistical Case Studies together with Mathematics Project is not recommended, as both are year-long courses with final deadlines very close together.

Business Honours Dissertation

Mathematical Education

Project in Mathematics (Double)

Mathematics Project

Statistical Case Studies

AND

Honours Complex Variables

Honours Analysis

Honours Algebra

AND

Probability, Measure & Finance

AND

Stochastic Modelling (Undergraduate)

Mathematical Biology

Commutative Algebra

Theory of Statistical Inference

Essentials in Analysis and Probability

Applied Stochastic Differential Equations

Fundamentals of Operational Research

Combinatorics and Graph Theory

Geometry

General Topology

Group Theory

Linear Analysis

Statistical Methodology

Numerical Linear Algebra

Entrepreneurship in the Mathematical Sciences

Introduction to Partial Differential Equations

Quantum Mechanics for Mathematicians

Statistics in Education

Introduction to Lie Groups

Topics in Noncommutative Algebra

Quantum Information

Theory of Elliptic Partial Differential Equations

Further Complex Variables

Differential Geometry

Category Theory

Classical Field Theory

Fluid Dynamics

AND

Financial Mathematics

Fourier Analysis

Numerical Ordinary Differential Equations and Applications

Multivariate Data Analysis

Introduction to Number Theory

Linear Programming, Modelling and Solution

Algebraic Topology

Galois Theory

Advanced Methods of Applied Mathematics

Statistical Computing

Applied Statistics

Metric Spaces

Classical Mechanics for Mathematicians

Algebraic Geometry

Geometry of General Relativity

Applied Dynamical Systems

Interactions in Algebra, Geometry, and Topology

Numerical Partial Differential Equations

Analytic Number Theory

AND

These Postgraduate Taught courses may be taken by Undergraduate students *without* requiring a concession. (NB. students on Postgraduate taught programmes are given priority in the allocation of places.)

Students must consult course prerequisites and other requirements carefully when making course choices. In particular, students are unable to take Financial Risk Theory (MATH11132) as they cannot meet the prerequisites.

Simulation

Finance, Risk and Uncertainty

Fundamentals of Optimization

Time Series

Financial Risk Theory

Large Scale Optimization for Data Science

Optimization Methods in Finance

Bayesian Data Analysis

Bayesian Theory

Topics in Applied Operational Research

Incomplete Data Analysis

Risk and Logistics