The theoretical application of mathematics to the world of finance allows you to make good, informed decisions in the face of uncertainty. With the growth and progression of business across the globe, the need for those who can understand quantitative financial methods are becoming increasingly lucrative, sought-after individuals. For those with a strong mathematical background, and a wish to pursue a finance career, this programme is the ideal introduction to this exciting and expanding field.To understand, apply and develop these sophisticated methods requires a good understanding of both advanced mathematics and advanced financial theory. By combining the financial expertise in the University of Exeter Business School with our internationally respected Mathematics department, this comprehensive MSc programme will prepare you for careers in areas that require expert skills in mathematical and financial modelling, computational analysis and business management.
You will gain essential, complementary skills in multiple areas of study such as probability and stochastic analysis, option pricing, risk analysis and extremes, computational methods using MATLAB/C++, financial management and investment analysis. In addition, you will branch into a specialist area of study as you conduct a substantial project in a field of your choosing. The project will allow you to develop your research, computational and modelling skills with support from staff who have extensive experience working in multiple financial services and insurance industries.
Read more at https://www.exeter.ac.uk/postgraduate/taught/mathematics/finmathsmsc/
Programme structure
The taught element of the programme takes place between October and May and is arranged into two 12-week teaching semesters.
Compulsory modules
The compulsory modules can include:
- Methods for Stochastics and Finance
- Analysis and Computation for Finance
- Mathematical Theory of Option Pricing
- Fundamentals of Financial Management
- Research Methodology
- Advanced Mathematics Project
Optional modules
Some examples of the optional modules are as follows:
- Topics in Financial Economics
- Investment Analysis
- Banking and Financial Services
- Derivatives Pricing
- Domestic and International Portfolio Management
- Investment Analysis II
- Financial Modelling
- Advanced Corporate Finance
- Alternative Investments
- Quantitative and Research Techniques
- Advanced Econometrics
- Dynamical Systems and Chaos
- Pattern Recognition
- Introduction to C++
- Advanced Probability Theory
- Level 3 Mathematics Modules
The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.
Learning and teaching
Teaching is by lectures, example classes, computer classes, tutorials, set work, project work, reading and self-study. The exact form and number of the lectures and tutorials varies from module to module and is chosen according to the material to be covered.
You will use the computer programming language Matlab and online financial databases such as Bloomberg and Datastream.
You will be allocated a Personal Tutor who is available for advice and support throughout your studies, along with support and mentoring from graduates who are now placed in industry. There is also a Postgraduate Tutor available to help with further guidance and advice.
A research- and practice-led culture
We believe every student benefits from being taught by experts active in research and practice. You will discuss the very latest ideas, research discoveries and new technologies in seminars and in the field and you will become actively involved in a research project yourself. All our academic staff are active in internationally-recognised scientific research across a wide range of topics. You will also be taught by leading industry practitioners.
Read more at https://www.exeter.ac.uk/postgraduate/taught/mathematics/finmathsmsc/#vaDcTLTYEesIFksj.99
Visit the
MSc Financial Mathematics
page on the University of Exeter website for more details!
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