Mathematics, Statistics and Quantitative Finance

Leverage the power of numbers to solve real challenges

Today, professionals with the skills to gather, interpret and understand numbers are in high demand. UTS’s Maths, Statistics and Quantitative Finance degrees are your passport to a lucrative future where you’ll use maths to create real change.

With an emphasis on practical skills, you’ll not only learn advanced theories, but learn to apply them in real professional scenarios. As a graduate, you’ll have what it takes to unearth meaningful insights from complex information for any setting, industry or organisation.

payments

Industry outlook
$360.6 billion

Australia’s finance sector is booming, and needs professionals with mathematical, statistical and quantitative know-how to keep up with demand.

IBISWorld 2024
trophy

Internationally recognised
#10 in Australia

UTS is among the country’s top 10 universities for Mathematics.

QS World University Rankings by Subject 2024
workspace_premium

Student experience
5 stars

We’ve received five stars for student Skills Development and Teaching Quality.

Good Universities Guide 2024

Study options

Why study Mathematics, Statistics and Quantitative Finance?

Leverage the potential of mathematics and data science to solve real-world challenges

If data is the new corporate currency, then professionals with mathematics and data science expertise are set to lead the way in an increasingly digital era. At UTS, our postgraduate mathematics and finance program draws together combinations of three specialist disciplines — mathematics and statistics, data science and quantitative finance — with an emphasis on real-world application for business, government and the community.[1]

[1] Australian Financial Review

Get inspired

Our highly applied Mathematics and Statistics degrees will equip you with the skills to translate mathematical theory into practical applications.

Become proficient in core mathematical skills that have real relevance in the wider world — including predictive modelling, programming, data analysis and more — and prepare to unearth meaningful insights from complex numerical information that offers value to government, research, the finance industry and more.