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Computers hold the key to fast and efficient analysis of complex scientific problems.

But computers are also digital systems, which require discrete inputs and outputs, while mathematical analysis often relies on continuous functions. Therefore, careful approximations are needed to allow computers to analyse complex mathematical functions.

You will study algorithms for mathematical analysis and graduate with skills used in various scientific endeavours across the public and private sectors, including in hospitals and university medical research, and big pharmaceutical and petrochemical companies.

Join a growing industry

  • Help solve the complex scientific problems of the future using mathematical analysis
  • The digital technology sector is one of the fastest growing parts of Australia’s economy
  • Data engineer was the #8 emerging job of 2020 (LinkedIn 2020 Emerging Jobs Report).

Highlights

1 in Queensland for computer science and information systems

QS World University Rankings 2021

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:

  • Software engineer
  • Technical business analyst
  • Algorithm specialist
  • Data engineer

Early-career salary

Data Scientist

$68K–$132K

payscale.com

Early-career salary

Business Analyst (Computer Systems)

$52K–$90K

payscale.com

How you'll learn

In 2022, we'll be teaching on campus, with online options (for most programs and plans) for students who can't attend in person. See the list of programs and plans you can't commence online.

Course delivery modes may change in future semesters.

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:

  • Numerical Methods in Computational Science
  • Visualization, Computer Graphics and Data Analysis
  • High-Performance Computing
  • Introduction to Bioinformatics

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