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Objectives
Mathematics and statistics are highly regarded disciplines that, along with computing, increasingly underpin contemporary life. Mathematical expertise provides insight for decision making in business and industry, and plays an important role in diverse areas ranging from finance, transport and medical science through to digital communications and weather forecasting. Skills learned through the study and application of mathematics often prove invaluable in solving the complex problems arising in today£s workplace, and it is no coincidence that Surrey Mathematics graduates are in great demand.
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Entry requirements
Typical entry requirements BSc Mathematics: A level grades AAB (340 points), or ABB (320 points) including Further Mathematics BSc Financial Mathematics and BSc Mathematics with Music: A level grades AAB (340 points) All other BSc programmes: A level grades ABB (320 points) Grade A in A level Mathematics required for all programmes. For Mathematics with Music, grade A in A level Music required, with grade 8 ABRSM award required for the performance stream.
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Academic title
BSc Mathematics
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Course description
Programme Structure
Level 1
Real Analysis
Linear Algebra
Calculus
Classical Dynamics
Proof, Probability and Experiment
Data Analysis
Solo Performance
Ensemble
Knowledge of Instruments
Composition
Business Economics
Financial Accounting
Organisational Behaviour
Principles of Economics: Microeconomics, Macroeconomics and Tutorials
Programming Languages
Level 2
Algebra and Codes
Ordinary Differential Equations
Groups and Symmetry
Numerical and Computational Methods
Fluid Mechanics
Stochastic Processes
Operations Research and Optimisation
Mathematical Statistics
Theory of Finance
Business Finance
Marketing Principles
Database and Information Modelling
Computer Graphics
Computer Vision and Language
Film Music
Solo Performance
Composition
Intermediate Microeconomic Theory
Intermediate Macroeconomic Theory
Optional professional training year
Level 3
Galois Theory
Chaos and Fractals
Mathematics of Weather
Mathematical Economics
Mathematics Education
Statistical Methods for Business and Finance
Bayesian Statistics
Curves and Surfaces
Nonlinear Patterns
Function Spaces
Risk Management
Money and Banking
Corporate Financial Policy
Recital
Composition
Ensemble
Computer Security
Web Technologies
Artificial Intelligenc
