Data science courses

Discover how to collect big data that feeds into valuable analysis

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Introduction to Data science

Study data science and learn how to evaluate large volumes of data using techniques rooted in computer science, programming and mathematics.

With the right qualification, you can become a big data expert who wrangles the data that guides organisations to solve business challenges.

David studied information technology with Swinburne University through Open Universities Australia

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Online data science subjects and short courses

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Data science study FAQs

What you'll learn in a data science course

Data science is a multidisciplinary field that combines maths, science, data analytics, statistics and sometimes even artificial intelligence to collect data from a number of different sources.

A data science course will provide you with an understanding of the research principles and methods underpinning the practice of data science. You’ll learn how to work with complex bodies of unstructured data, deduce findings and make recommendations that can help solve business problems.

Why should you study a data science degree?

If you have an affinity for maths, statistics or computer science, then a data science degree could be just the course for you. The world of data is expanding at a phenomenal rate, and a background in data science will provide you with the skills and knowledge you need to navigate it.

Use principles from mathematics, stats, programming and coding to help solve issues businesses face on a daily basis and guide their decision making.

If this sparks your interest, you can get started by studying data science online with one of Australia’s leading universities through Open Universities Australia. Whether you’re keen to start with an undergraduate qualification or move into postgraduate studies, we’ll guide you there. Explore our selection of online courses, compare your options using our comparison tool or draw on the knowledge of our friendly student advisors to find the right course for you.

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