Mathematics with Placement

Course Summary

Mathematics is a fundamental subject that is critical to our understanding of the world. Through the study of mathematics you’ll advance your problem solving skills, develop your reasoning and increase your analytical thinking. Mathematical models underpin engineering, the applied sciences, computing and many aspects of management today. With the MMath you’ll study for a further year and bring your BSc degree to master’s standard. This means you’ll be able to get that competitive edge when you apply for jobs without having to go through the application process again after Level 3. You’ll study many aspects of pure and applied mathematics, together with general concepts of mathematical modelling. When it comes to the application of mathematics, we cover finance, statistics, operational research (how maths can be applied to commercial and industrial problems), numerical analysis (the approximate solution of very hard problems) and mechanics. In your final year you’ll be able to specialise in areas of mathematics that you’re particularly interested in. You’ll produce a substantial research project under the guidance of a tutor in Level 3 and have the opportunity to build upon this as a MMath student. Follow the five-year ‘Professional Placement’ degree programme and you‘ll benefit from our extensive experience in helping students to find well-paid work placements with blue-chip companies. Our sandwich students find that their mathematical and transferable skills are in demand in many sectors, both in the UK and abroad. Areas recently offering placements include: accountancy, aviation, banking, defence, finance, insurance, IT (software development, network management and design), management (public and private sector), marketing and telecommunications. This programme will meet the educational requirements of the Chartered Mathematician designation, awarded by the Institute of Mathematics and its Applications, when it is followed by subsequent training and experience in employment to obtain equivalent competences to those specified by the Quality Assurance Agency (QAA) for taught master's degrees.

Course Details - Modules

Year 1 Calculus Elements of Applied Mathematics Fundamentals of Mathematics Linear Algebra Probability and Statistics I Programming and Mathematical Projects Year 2 Algebra and Analysis Discrete Mathematics and Operational Research Elements of Applied Modelling Multivariable Calculus Probability and Statistics II Professional Development and Project Work Work placement year in industry Year 3 Compulsory: Complex Variable Methods and Applications Project Optional: Encryption and Data Compression Mathematics in Context Numerical Methods for Differential Equations Ordinary and Partial Differential Equations Risk and Optimisation for Financial Planning Statistics III Stochastic Models Year 4 Compulsory: Research Methods and Case Studies Advanced Project Optional: Advanced Mathematical Methods Dynamical Systems and Ordinary Differential Equations Financial Computing I Fundamentals of Machine Learning Mathematical Biology Network Models Probability and Stochastics Random Matrix Theory Time Series Modelling Topics in Combinatorics

Course Details – Assessment Method

Assessment Methods are not listed for this Course.

Course Details – Professional Bodies

Professional Bodies are not listed for this Course.

How to Apply

26 January This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application Codes

Course code: G101

Institution code: B84

Campus Name: Main Site

Campus code:

Points of Entry

The following entry points are available for this course:

Year 1

Entry Requirements for Advanced Entry (Year 2 and Beyond)

Entry Requirements for Advanced Entry are not listed for this Course.