Graduate Certificate
The Graduate Certificate in Data Science in Quantitative Finance is designed to meet the evolving "modelling needs" of the quantitative finance industry in data science and analysis. The program, comprising of machine learning theory and applications and advanced quantitative methods, provides participants with additional specialised skill sets - specifically in data science - that are in high demand, even among the more traditional financial organisations.
This data science program also enables Master of Quantitative Finance graduates to extend the specialist skills and expertise of the quantitative finance specialisation through completion of the Graduate Certificate in Data Science in Quantitative Finance as a standalone graduate certificate.
The subjects in this course are technical in nature and focus on quantitative finance applications through examples and case studies. The course aims to extend technical skills acquired in quantitative finance or other technical specialisations.
Career options include data analyst, data scientist, forecaster, market risk analyst, credit risk analyst, data modeller and data engineer.
Students are required to complete 24 credit points of core subjects.