BSc Mathematics with Finance
Entry requirements
A level: AAB IB: 34 points
About this course
BSc Honours in Mathematics and Accounting and Finance. Core topics include Statistics, Mathematical Modelling, Financial Analysis, Accounting, Programming, and Artificial Intelligence & Machine Learning. The majority of modules are in mathematics and statistics, supplemented by accountancy and corporate finance. Financial modules include Asset Pricing and Portfolio Investment and Money and Banking.
Modules
- Introduction to Financial Accounting
- Introduction to Management Accounting and Finance
- Introductory Algebra
- Real Analysis
- Introduction to Probability and Statistics
- Introductory Calculus and Differential Equations
- Multivariable Calculus
- Responsible Corporate Finance
- Statistical Inference
- Regression
- Interpreting Company Accounts
- Frontiers in Data Science A
- Asset Pricing and Portfolio Investment
- Money and Banking
- Linear Algebra
- Complex Analysis
- Groups and Rings
- Curves and Surfaces
- Coding Theory
- Numerical Methods with Python
- Stochastic Processes
- Data Visualisation
- Probability
- Principles of Quantum Mechanics
- Vector Calculus
- Differential Equations, Transforms and Waves
- Fluid Dynamics I
- Mathematical Biology
- Case Studies in Finance, Accounting and Business
- International Financial Management
- Stochastic Financial Modelling
- Clinical Trials
- Decision Modelling for Health Data Science
- Topics in Medical Statistics and Health Data Science
- Curves and Surfaces
- Coding Theory
- Numerical Methods with Python
- Global Education in Mathematics and Statistics
- Group Theory
- Linear Analysis
- Matrix Analysis
- Metric Spaces and Topology
- Number Theory and Cryptography
- Matrix Representations of Groups
- Experimental Design
- Foundations of Machine Learning
- Extreme Value Theory
- Time Series
- Survival Analysis
- Statistical Genetics
- Mathematical Statistics
- Statistical Modelling
- Bayesian Statistics and Decision Theory
- Markov Processes
- Principles of Quantum Mechanics
- Mathematical Biology
- Advanced Quantum Mechanics
- Classical Fields
- Quantum Information
- Methods for Differential Equations
- Fluid Dynamics II
- Relativity and Fundamental Particles
- Hydrodynamic and Climate Instabilities
- Variational Methods and Lagrangian Dynamics
- Career Development for final year students