Maths technology

Get techie, get the job

Tech-minded maths types are in demand!

Thinking logically and solving problems is essential in a technology career. That’s why it’s such a good fit for people with mathematical skills.

“Maths gives you a bunch of useful tools, like how to think about abstractions in a meaningful way,” says Daniel Nadasi, Engineering Director at Google Maps.

“It’s a way of thinking that makes you well-suited to working with big systems like large server networks and cloud applications.”

Daniel studied pure mathematics at the Australian National University before joining Google as a software engineer. Now he looks after the data infrastructure that powers Google Maps, used to check directions, traffic conditions and find local businesses.

Statistician Patricia Kavinksi got her start in big data as a data mining analyst at a large marketing company in Brazil. Now she’s doing an internship at the NSW Department of Finance, Services and Innovation while studying a Masters in Data Science and Innovation at the University of Technology Sydney.

Patricia says being part of the second place-winning team at the SydneyHack 2016: Pedestrian Safety Hackathon at the University of Sydney helped her internship application stand out.

Data scientists slice and dice huge chunks of data to identify trends. It’s a big growth area that can command even bigger salaries – and Patricia says data science can apply to nearly everything. “Every company has lots of data and wants to improve it.”

Cyber security is another area demanding fresh, analytical minds. The Australian Government Cyber Security Review found that Australia faces major threats to online security through malware infections and cyber-crime.

Areas like cryptography, which protect private data like passwords and banking details – require a solid grounding in mathematical theory to compose tough-to-break algorithms.

To nail a career in technology, spend some time honing your coding abilities. Languages like R, Python and Ruby make good companions to general maths and statistics skills, and hackathons can offer a great place to practice.

Before you know it, you could be on your way to a super colossal career in big data.

– Chloe Walker


Check out some work and study options…


YouTube: Intro to machine learning

Facebook: @lifeatgoogle

Twitter: @CyberSecMonth

Facebook: @bigdatauniversity


Mathematical Sciences, University of South Australia

Computer Science, Australian National University

Technology (Computing Studies), RMIT University

Diploma of Software Development, Homesglen

Data Science, Udacity


Data scientist *$89,578

Actuary *$80,429

Corporate executive *$70,252

*median salary correct at March 2017 via payscale


Google | Telstra | Cisco | ASIO

Geoscience Australia | Scientific Games

Chloe Walker

Author: Chloe Walker

Chloe is a freelance writer and editor from Melbourne. She loves talking to people about their passions, whether that’s STEM, arts, business, or something else entirely!