DCU's MSc in Financial Mathematics equips you with the skills and knowledge needed for careers in quantitative finance and insurance. You'll master mathematics, finance fundamentals, pricing, hedging, portfolio optimization, risk management, data analysis, and machine learning, giving you a competitive edge in the financial sector.

Interested in learning more about the financial market and some of the mathematical techniques which are applied, in particular stochastic modelling?  In our MSc in Financial Mathematics programme, you will focus on the tools that allow you to develop pricing models, and learn about different financial securities and how they are used in risk management or asset management.

Understand the main aspects of quantitative finance – including general finance theory, finance models and programming for graduates with a science, engineering and mathematics background. Our course builds on Sussex’s strong foundation of interdisciplinary research. You’ll be taught by experts from both the Department of Mathematics and the University of Sussex Business School. The course also draws on expertise from industry professionals, so you’ll gain the knowledge and skills to succeed in the fast-paced world of finance.

MSc in Mathematics-Economics has taught you about how rates for a new mortgage loan should be fixed – with an interest-rate ceiling or as interest-only loans. In fact, it was mathematics–economics graduates who developed the model used for fixing the cost of such loans. All major companies face complex problems, and many turn to mathematics–economists when they do.

The progress of all master's candidates is monitored biannually by the supervisor and the postgraduate coordinator. A candidate's study may be terminated if the progress is unsatisfactory or if the candidate is unable to finish his/her studies during the prescribed period.

The MSc in Financial Mathematics is designed to equip students with the mathematical tools and models used in the finance industry. The program covers key topics such as financial derivatives, risk ma...

The MSc Financial Mathematics programme provides you with the advanced analytical training, quantitative knowledge and practical skill sets required to operate as a professional in modern financial institutions.

The Financial Mathematics MSc programme equips students with the mathematical and statistical knowledge to model and predict financial market behaviour. It offers flexibility with specialisms tailored to individual career aspirations in the financial services industry.

Financial Mathematics is the branch of applied mathematics concerned with the financial markets. It overlaps heavily with the fields of financial engineering and computational finance. Arguably, all three terms are synonymous. The subject naturally has a close relationship with the discipline of financial economics, but financial mathematics is narrower in scope and more abstract.

This course focuses on the mathematical modelling and computational techniques used in the financial industry, and on the required background in finance. Financial mathematics is a branch of mathematics where advanced mathematical and statistical methods are developed for and applied to financial markets and financial management. Its main aims are to quantify and hedge risks in the financial marketplace. Effective computational methods are crucial for the successful use of mathematical modelling in finance. This course is designed to reflect this combination of knowledge and skills so that graduates are well equipped to enter the competitive job markets of quantitative finance and related fields. Optional modules equip graduates with foundations of data analytics.

The depth of the mathematics taught in our Mathematical Finance MSc programme should equip you with the skills needed to succeed within the finance sector. It will also enable you to pursue a research career in stochastic analysis, financial mathematics and other relevant areas.

The MSc in Mathematical Finance is designed to give students a solid foundation in both the mathematics and financial theories used in markets today. The program covers key topics like derivatives, ri...

The MSc in Mathematical Finance is designed for those who want to develop a strong understanding of financial mathematics, risk management, and quantitative analysis. The program covers key topics lik...

The MSc in Finance program is designed to give students a strong foundation in financial theory and practice. It covers key areas like financial markets, investment analysis, corporate finance, and ri...

Our conversion programme offers a solid foundation in financial and mathematical theory for those with or without a prior specialist mathematics or finance education. Gain financial expertise from the University of Exeter Business School alongside mathematical skills from our internationally respected Mathematics department. Develop essential, complementary skills in areas such as probability and stochastic analysis, option pricing, risk analysis and extremes, computational methods using MATLAB/C++, financial management and investment analysis.