BSc Mathematics with Business
Entry requirements
A level: AAB IB: 34 points
About this course
BSc Honours in Mathematics and Business, combining quantitative methods with management theory. Core topics include Mathematical Modelling, Financial Analysis, Programming, Data Analysis, Statistics, and Entrepreneurship. Teaching draws on both the School of Mathematics, Statistics and Physics and the Newcastle University Business School, which holds triple-crown accreditation. An optional year in industry is available.
Modules
- Introduction to Accounting and Finance
- Introduction to Management and Organisation
- Introductory Algebra
- Real Analysis
- Introduction to Probability and Statistics
- Introductory Calculus and Differential Equations
- Multivariable Calculus
- Interpreting Company Accounts
- Human Resource Management
- Frontiers in Data Science A
- Linear Algebra
- Complex Analysis
- Groups and Rings
- Curves and Surfaces
- Coding Theory
- Numerical Methods with Python
- Statistical Inference
- Stochastic Processes
- Data Visualisation
- Probability
- Regression
- Principles of Quantum Mechanics
- Vector Calculus
- Differential Equations, Transforms and Waves
- Fluid Dynamics I
- Mathematical Biology
- Case Studies in Finance, Accounting and Business
- Enterprise and Entrepreneurship with Lean Innovation
- 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
- Stochastic Financial Modelling
- 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