Financial 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. This is why mathematics forms a basis to so many careers. Yes – it is a discipline in its own right, but it is also the thinking behind countless commercial, industrial and technological activities. Mathematical models underpin engineering, the applied sciences, computing and many aspects of management today. With the Financial Mathematics 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. Two-thirds of your course is shared with the MMath in Mathematics. This covers several application areas – finance, statistics, operational research (i.e. how maths can be applied to commercial and industrial problems) and numerical analysis. The remaining third covers the key principles of finance. 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; Compulsory - Elements of Investment Mathematics, Discrete Mathematics and Operational Research, Multivariable Calculus Mathematics of Deep Learning, Probability and Statistics II, Professional Development and Project Work. Year 3; Compulsory - Mathematical Finance, Risk and Optimisation for Financial Planning, Financial Mathematics Final Year Project. Optional - Numerical Methods for Differential Equations, Ordinary and Partial Differential Equations, Statistics III, Stochastic Models. Year 4; Compulsory- Advanced Project, Option Pricing Theory, Probability and Stochastics, Research Methods and Case Studies. Optional - Advanced Mathematical Methods, Cryptocurrencies and Blockchain Technology, Financial Computing I, Fundamentals of Machine Learning, Interest Rate Theory, Network Models, Time Series Modelling.

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: GN1J

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.