The growth of quantitative and computational finance has led to an increased demand for professionals with skills in both finance and mathematics.
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.
In this degree, you will 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.
You will 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 you with first-hand knowledge from experts working in the field.
What you will study
Subjects include Multivariate and Vector Calculus, Differential equations: Analysis and Applications, Random Variables and Estimation, Statistical Inference and Introduction to Model Building, Managerial Finance, Stochastic Methods in Finance, and Applied Probability and Financial Risk.
You will learn about 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.
A three-year Australian Bachelors degree, or equivalent, with at least one year of Mathematics or Statistics and an equivalent average mark of 60%.