The growth of quantitative and computational finance has led to an increased demand for professionals with skills in both finance and mathematics. In particular, skills in stochastic processes, numerical methods, partial differential equations and optimisation are crucial in industries such as banking, insurance, utilities, investment and any company affected by international exchange rates. Learn practical skills to lead the formulation, implementation and evaluation of models used by the financial sector to structure transactions, manage risk and construct investment strategies. The degree will be a valuable asset if you are seeking to further your career in managerial roles in the finance sector. This degree You’ll receive training in the high demand area of quantitative financial analysis, giving you first-hand experience in the way in which this discipline is used in this field. The Practitioners' Seminars component of the course will provide students with first-hand knowledge from experts working in the field. What you will study You’ll learn quantitative financial analysis and a range of analytical, statistical, computational and modelling skills. These are needed for the formulation, implementation and evaluation of models in the financial sector to structure transactions, evaluate financial derivatives, manage risk and construct investment strategies. Course Learning Outcomes Students graduating from the Master of Financial Mathematics will be able to: Demonstrate advanced and integrated understanding of a complex body of knowledge in mathematics, statistics and finance. Exhibit expert, specialised cognitive and technical skills in mathematics, statistics and finance to independently analyse, critically reflect on and synthesise complex information, problems and theories. Interpret and transmit financial, mathematical and statistical knowledge, skills and ideas to specialist and non-specialist audiences. Employ mathematical and statistical knowledge to professional practice in finance. Apply knowledge and skills ethically to demonstrate autonomy and expert judgement as a financial mathematician.