Masters (Coursework)
The Master of Data Science in Quantitative Finance provides students with cutting-edge skills, knowledge and tools allowing them to tackle data problems on a new scale and complexity for tasks in portfolio optimisation, market modelling and credit risk. Data science techniques including machine learning have already transformed the world of asset management, changing how sophisticated investors approach portfolio construction and risk management. This course combines an internationally recognised quantitative finance program with skills and knowledge in financial data science and statistical modelling.
Career opportunities for graduates include quantitative analyst, data scientist, data analyst, quantitative analyst, quantitative structurer, quantitative developer, forecaster, trader, model verification, financial engineer, market risk analyst, credit risk analyst, data engineer, data modeller, and investment analyst and financial engineer across investment banks, trading banks, hedge funds, investment management firms, consulting companies, energy and mining companies, regulatory bodies and government organisations
The course comprises 96 credit points of core subjects.