BSc Economics and Mathematics
Royal Holloway, University of London
Entry requirements
A level: AAB-BBB (Required subjects: A-level Mathematics at grade A We require English Language and Mathematics GCSE at grade 4 (C)) IB: 6,6,5 - 5,5,5 at Higher Level or 34-30 points overall including 6 in Maths at Higher Level.
About this course
BSc in Mathematics and Economics, combining mathematical methods with economic theory. Core topics include Statistics, Mathematical Modelling, Programming, Artificial Intelligence & Machine Learning, Policy Analysis, and Data Analysis. This joint honours degree offers optional modules in financial and industrial economics in later years.
Modules
- Principles of Economics
- Applied Economics and Policy
- Academic Integrity
- Statistical Methods 1
- Calculus
- Calculus II
- Introduction to Pure Mathematics
- Linear Algebra I
- Employability 1
- Microeconomics
- Macroeconomics
- Econometrics 1
- Statistical Methods 2
- Probability Theory
- Employability 2
- Financial Markets and Institutions
- Industrial Growth and Competition
- Personnel Economics
- Introduction to Economic Growth
- Vector Calculus
- Ordinary Differential Equations and Fourier Analysis
- Linear Algebra II
- Ring Theory
- Group Theory
- Further Linear Algebra and Modules
- Complex Analysis
- Machine Learning and Data Mining
- Industrial Economics 1
- Financial Economics 1
- Financial Economics 2
- Advanced Econometrics I
- Advanced Econometrics II
- Understanding Financial Crises
- Environmental Economics
- Behavioural Economics
- Monetary Economics
- Topics in Game Theory
- Advanced Economic Theory
- Financial Econometrics with Data Science
- Labour Economics
- Philosophy of Economics
- Public Economics
- Topics in Economic History
- Data Presentation and Visualisation
- Advanced Topics in Game Theory
- Economics of Inequality
- Dissertation in Economics
- Mathematics Project
- Number Theory
- Complexity Theory
- Quantum Theory 1
- Non-Linear Dynamic Systems
- Inference
- Time Series Analysis
- Channels
- Mathematics of Financial Markets
- Combinatorics
- Cipher Systems
- Electromagnetism
- Applications of Field Theory
- Mathematics in the Classroom
- Computational Number Theory
- Principles of Algorithm Design
- Dynamics of Real Fluids
- Quantum Theory 2
- Markov Chains and Applications
- Quantum Information and Coding
- Financial Mathematics I
- Financial Mathematics II
- Error Correcting Codes
- Cryptography
- Topology
- Introduction to Optimisation