Graduate Certificate in Data Science in Quantitative Finance

Program Overview

The Graduate Certificate in Data Science in Quantitative Finance equips students with specialized data science skills in high demand within the quantitative finance industry. The program consists of 24 credit points of core subjects, focusing on technical applications through case studies. Graduates can pursue careers as data analysts, scientists, risk analysts, and data engineers.

Program Outline

Degree Overview:

The Graduate Certificate in Data Science in Quantitative Finance is designed to cater to the evolving "modelling needs" of the quantitative finance industry in data science and analysis. The program provides participants with additional specialized skill sets - specifically in data science - that are in high demand, even among the more traditional financial organizations. It also enables Master of Quantitative Finance graduates to extend the specialist skills and expertise of the quantitative finance specialization 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 specializations.

Outline:

Careers:

Potential career options for graduates include data analyst, data scientist, forecaster, market risk analyst, credit risk analyst, data modeller, and data engineer.