Master of Science in Financial Mathematics Dublin City University, Ireland

The role of Global Finance in the world has never been more complex. Events have shown how critical it is to have an understanding of the theory and logic behind the practice of financial decision-making, risk management and market behaviour.

This course is about high-level mathematics applied to practical problems in finance and industry. The course combines the principles of maths, finance and computing to prepare you for a career in the Financial Services Industry.  The course is designed for students with an undergraduate degree in Mathematics or cognate area, who wish to gain the competitive advantage required for by high-level quantitative roles.

The aims of the programme are:

• To open up advanced career opportunities for graduates of traditional mathematics courses
• To give specialists in other numerate disciplines (e.g. engineers, scientists or economists) the opportunity to deepen their understanding of mathematics and to master powerful modern mathematical techniques

To achieve these aims it is intended:

• To introduce relevant problems and to explain the context in which they arise.
• To formulate these problems in mathematical terms.
• To instruct students in modern mathematical methods powerful enough to deal with these problems.
• To develop the student's ability to solve problems, by reformulating the problem and adapting mathematical methods.

On completion of the programme, students will be competent:

• To recognise, through discussion with the in that field, the essential features of a given industrial process or economic situation.
• To assign variables and to formulate relationships in the form of mathematical equations.
• To solve equations by appropriate analytical, numerical or approximate methods.
• To interpret the mathematical solution in the idealised situation based on the essential features recognised above.
• To validate the model in the real situation.
• To make adjustments to the model in the event that it does not validate.
• To communicate the implications of the model and advise on its implementation.