Here’s how to cash in on the decade’s hottest career

QUT Master’s Degree in Data Analytics

Data analytics has been the hottest career area since 2016 and just keeps growing. According to the 2018 Gemalto Data Security Confidence Index, 65% of businesses today don’t know what to do with their data.

We’re generating insights into everything from economic trends to global health trends every minute of every day. Data analysts are the key to unlocking these key insights from the overwhelming amount of information. But there’s a massive shortage of skills.

That’s where you come in.

Work anywhere

A QUT Master’s Degree in Data Analytics puts you at the forefront of this wave of information. Data analytics is a career area with limitless opportunities in just about any field. Plus, earning your QUT Master’s Degree in Data Analytics will increase your employability and offer you real-world challenges with industry-connected teachers.

What does that mean for you? Jobs offers, and lots of them – all over the world. In the United States, there’s a current shortage of 151,717 people with data science skills, according to the 2018 LinkedIn Workforce Report. That’s including a shortage of 34,032 people in New York City, 31,798 people in the San Francisco Bay Area, and 12,251 people in Los Angeles.

The data boom

Businesses have already begun to utilise big data, artificial intelligence (AI) and machine learning en masse.

Not only does the QUT Master’s Degree in Data Analytics give you global job prospects, you’re also an ideal candidate for diverse roles across every industry – including retail, marketing, construction, banking, transport or defence.

Professor Clinton Fookes heads up QUT’s Vision and Signal Processing research discipline in the Science and Engineering Faculty. Researchers in the faculty are using data analytics to build an algorithm that can accurately predict the pathway of a moving object, like a defence plane in flight.

Using data from air traffic control at Brisbane airport as well as radar and camera data from pedestrian traffic at QUT, the algorithm can crunch around 1000 predictions in a matter of seconds.

“In a defence environment, this tool could help provide greater situational awareness of both owned and enemy assets and airspace. It could be applied to airspace, military bases, public transport or shopping centres – anywhere you want to analyse movement,” says Clinton.

“Professionals with skills in the fundamentals of data analytics — statistical, computational and information sciences — are incredibly valuable across all industries,” says Professor David Lovell, Head of the Electrical Engineering and Computer Science School at QUT.

“QUT gives you this foundation along with strong connections to real-world practice.”

Why study with QUT?

The QUT Master’s Degree in Data Analytics is led by experts in the field and researchers who are applying data analytics to monitor the health of the Great Barrier Reef or to track declining literacy levels in Australian students, for example. The degree uses these real-world challenges to demonstrate practical uses for data analysis in industry, whether that’s in research or commercial roles.

Working across both theory and application, you’ll learn vital skills across advanced statistical data analysis, data mining techniques and applications, data manipulation, analytics for information professionals and advanced stochastic modelling.

“We are excited to offer our new data analytics courses to provide our graduates with state-of-the-art knowledge and skills to keep them at the cutting edge of this rapidly evolving field,” says Dr Helen Thompson, Senior Lecturer in Statistics at QUT.

Keen to learn more about the QUT Master’s Degree in Data Analytics? Visit the website and read about QUT postgrad scholar Naomi Paxton.


This article is brought to you in partnership with QUT.

Eliza Brockwell

Author: Eliza Brockwell

Eliza is the Digital Producer for Careers with STEM. Eliza is passionate about creating content that encourages diversity of representation in STEM.

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