Mathematics MMath Placement offered

Level 1

• Essential Mathematics
• Advanced Mathematics I
• Mathematical and Computational Skills
• Geometry and Applications
• Computing Projects and Mechanics
• Probability and Statistics I.

Level 2

• Multivariable Mathematics
• Advanced Mathematics II and Numerical Methods
• Algebra and Analysis
• Vector Calculus and Applications
• Operational Research, Probability and Statistics
• Probability and Statistics II
• Numerical Analysis Project
• Statistics Project.

Level 3 compulsory

• Project
• Complex Variable Methods and Applications.

Level 3 options

• Ordinary and Partial Differential Equations
• Encryption and Data Compression
• Numerical Methods for Differential Equations
• Financial Mathematics
• Statistics III
• Stochastic Models
• Risk and Optimisation for Financial Planning.

Level 5 compulsory

• Advanced Project
• Advanced Mathematical Methods
• Numerical and Variational Methods for Partial Differential Equations.

Level 5 options

• Probability and Stochastics
• Option Pricing Theory
• Financial Computing I
• Mathematical Theory of Dynamic Asset Pricing
• Financial Computing II
• Time Series Modelling
• Topics in Combinatorics
• Spectral Theory
• Fluid Mechanics
• Solid Mechanics
• Dynamical Systems and ODEs
• Mathematical Biology
• Random Matrix Theory
• Computer Intensive Statistical Methods
• Modern Regression and Classification
• Network Models.

Level 3 Major Project

This is a very valuable feature of this MMath programme – a substantial piece of individual, course-related work, personally supervised by a staff member. Project work accounts for about one third of your Level 3 study load, and will often be connected to staff research areas – it may also be in response to industry demands.

Students usually select from a list of projects offered by staff members. During 2014-15, over 150 project titles were available. These covered a wide range of mathematical areas and applications including, for example:

• The very famous ‘travelling salesman problem’ (also known as ‘the lazy waiter’!)
• Simulations of iterated Prisoner’s Dilemma and game theory
• The mathematics of complex networks such as the web or Facebook
• Applications of statistics to the Premier League, police complaints data and climate change
• Modern theories in quantitative finance – in particular, the highly influential financial derivatives (e.g. options) industry. (The ‘Black-Scholes theory’ is most famous for winning a Nobel Prize, and its misapplication is often blamed, rightly or wrongly, for the recent worldwide financial crisis.)

Students can work to their strengths and emphasise real applications or abstract theory, using theoretical and/or computational tools. Furthermore, students who have completed a work placement may choose to focus on a project associated with their work experience.

Read more about the structure of undergraduate degrees at Brunel and what you will learn on the course.