Data Science in Quantitative Finance University of Technology Sydney (UTS)

Overview

The  Data Science in Quantitative Finance degree is delivered by the University of Technology Sydney (UTS) .

Key Facts

With the accelerating pace of technology-driven financial innovation, there is greater demand for professionals who can leverage quantitative skills in financial problem solving. If you want to broaden your mathematical and statistical skillset and launch a career in the ever-changing world of finance, the UTS Master of Data Science in Quantitative Finance is the course for you.

Designed by industry experts and leading academics, this program will shape you into an advanced quantitative finance professional, ready to apply your critical mathematical and statistical skills to pressing challenges in quantitative research and analysis, portfolio and asset management, risk management and more. You’ll be prepared to kick-start a lucrative future where you'll use mathematics and statistics to create innovative financial solutions.

You’ll undertake subjects in financial market instruments, derivative security pricing, risk management and more, underpinned by core competencies in probability theory, stochastic analysis, optimisation and financial econometrics. This is further supplemented by specialist studies in machine learning and Bayesian analysis. 

Going beyond theory, you'll apply your learning in industry-relevant practical assignments in the valuation and hedging of financial instruments and derivatives and the modelling and management of financial risk. You’ll also undertake a quantitative finance and data science research project under the supervision of one of our expert academics.