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Turn complex data into useful insight and support smarter, evidence-based decisions across every industry.

Data only creates value when people know how to interpret it, question it and turn it into useful insight. Studying Data Science at UQ gives you these skills.

You’ll learn how organisations collect, structure, manage and optimise data, building the technical capability to work with large-scale systems and understand how information moves through them. 

Your analytical skills will grow through mathematics and statistics, helping you recognise patterns, understand uncertainty and draw meaningful conclusions from complex datasets.

As you progress, you can broaden your expertise in areas such as machine learning, cloud computing, data mining, natural language processing and advanced analytical techniques. You’ll learn how to model information, communicate insights and apply data science to solve problems across different industries.

Highlights

1 in Queensland for computer science and information systems

QS World University Rankings 2026

Career possibilities

Our programs prepare you for your first job and beyond. Here are some of the careers you could be on your way to:

  • Data scientist
  • Business analyst
  • Statistical analyst
  • Database developer
  • Research analyst

Average annual salary range

Data Scientist

$115–$135K

seek.com.au

Average annual salary range

Business Analyst (Computer Systems)

$85K–$100K

seek.com.au

Next steps after graduation

You'll be equipped to help organisations turn their complex data into practical action, across industries including:

  • AI
  • finance
  • healthcare
  • environmental science
  • logistics
  • digital business
  • emerging technology.

How you'll learn

Your learning experiences are designed to best suit the learning outcomes of the courses you choose.

  • Lectures
  • Tutorials
  • Seminars
  • Workshops

What you'll study

At UQ, subjects are called 'courses'. Here's a sample of the courses you could study:

  • Fundamentals of Data Science
  • Machine Learning
  • Data Mining
  • Relational Database Systems

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