Open up a world of opportunity with careers in financial organisations, fintech, hedge funds, banks, insurance companies and many more. If you have a strong undergraduate background in mathematics, economics, finance (or other programmes such as engineering, computer science and physics with a strong mathematical component) this programme will help you develop a specialisation in financial mathematics. You will learn technical skills that will help you pursue a future in quantitative financial analysis.
Financial mathematics is a highly specialised and rapidly growing area requiring a strong mathematical background alongside appropriate training in finance and computer programming. This MSc degree is both technical and practical. Students will acquire in-depth mathematical knowledge and skills applied to the area of finance, advanced skills and knowledge in computational and programming techniques as well as experience of extended project work.
Why study Mathematical Finance MSc in Dubai?
- Develop your ability to apply mathematical and scientific knowledge to financial analysis, identifying, critically analysing and evaluating scenarios within the sector
- Learn to use software packages to analyse financial data and to implement numerical models
- Train specifically in independent study and research, which is an essential skill for a quantitative analyst
- Learn at an internationally-recognised university ranked in the top 100 in the 2021 QS World University Rankings
Programme Learning Outcomes
By the end of their programme, you will have gained a knowledge and understanding of:
- The theory and application of financial modelling and data analysis.
- The theory of Stochastic or random processes and their modern application within finance.
- Portfolio management and hedging.
- The theory of risk analysis and risk management and their applications within finance.
- Modern and emerging computational techniques as applied to the financial services sector.
By the end of their programme, you will have developed the following skills:
- The ability to use mathematical tools to explore and understand real-world applications in finance.
- The ability to model financial processes and to analyse and interpret associated data.
- Proficiency in utilising computational and programming techniques and tools employed in a variety of modern financial applications and scenarios.
- The ability to undertake a critical analysis of a problem based upon the fundamental principles of finance and determine appropriate solution pathways.