MSci Mathematics with Business Management
Entry requirements
A Level: A*AA to include A-level grade A in Mathematics or Further Mathematics.. IB: 7,6,6 at Higher Level, including a 6 in Mathematics, with a minimum of 32 points overall.. BTEC: only considered when combined with other qualifications.
About this course
Master in Science in Mathematics with Business Management, a mathematics and business management degree focusing on quantitative methods and commercial strategy. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Financial Analysis, Entrepreneurship, and Artificial Intelligence & Machine Learning. Students complete a final-year project in the fourth year. The first year covers core topics through Introduction to Economics and Finance, Introduction to Management and Marketing, and Mathematical Foundations, Calculus and Linear Algebra. The second year introduces International Economics and Financial Decision Making, Marketing & New Technology, and Applied Linear Algebra and Optimisation. The third year advances into Corporate Finance and Supply Chain Management, Strategic and Innovation Management, and a Mathematical Project alongside various advanced options. The fourth year concludes with specialized study including Advanced Business Economics, Small Business and Entrepreneurship, and the Project in Mathematics with Business Management (MSci).
Modules
- Introduction to Economics and Finance
- Introduction to Management and Marketing
- Mathematical Discovery: Problem Solving and Programming
- Mathematical Foundations, Calculus and Linear Algebra
- Probability, Data and Statistics
- International Economics and Financial Decision Making
- Mathematical Challenge: Problem Solving and Programming in Business and Industry
- Marketing & New Technology
- Human Resource Management
- Applied Linear Algebra and Optimisation
- Differential Equations and Mechanics
- Graphs and Algorithms
- Groups, Rings and Fields
- Mathematical Modelling with Differential Equations
- Multivariable and Vector Calculus
- Real Analysis
- Statistics
- Corporate Finance and Supply Chain Management
- Mathematical Project
- Strategic and Innovation Management
- Combinatorics and Computation
- Continuum Mechanics
- Data Science and Machine Learning
- Galois Theory and Coding Theory
- Game Theory
- Graph Theory and Applications
- Mathematics in Biology and Medicine
- Mathematics of Financial Derivatives
- Medical Statistics
- Metric Spaces and Geometry
- Number Theory and Cryptography
- Numerical Analysis
- Optimisation
- Partial Differential Equations and Applications
- Real and Complex Analysis
- Statistical Machine Learning
- Statistical Modelling
- Topology
- Advanced Business Economics
- Project in Mathematics with Business Management (MSci)
- Small Business and Entrepreneurship
- Advanced Management Mathematics
- Bayesian Inference and Computation
- Combinatorics and Communication Theory
- Graph Theory
- Advanced Mathematical Finance
- Advanced Mathematical Modelling
- Advanced Topics in Combinatorics
- Advanced Topics in Mathematics
- Applied Statistics
- Continuum Mechanics
- Group Theory
- Mathematical Finance
- Medical Statistics
- Methods in Partial Differential Equations
- Numerical Methods and Numerical Linear Algebra
- Randomness and Computation
- Stochastic Processes
- Number Theory
- Statistical Methods in Finance and Economics