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Computers hold the key for fast and efficient analysis of complex scientific problems.
However, computers are digital systems, requiring discrete inputs and outputs, while mathematical analysis often relies on continuous functions. Therefore, careful approximations are necessary to enable computers to analyse complex mathematical functions.
You will study algorithms for mathematical analysis and graduate with skills used in various scientific endeavours, including in hospitals and university medical research and big pharmaceutical and petrochemical companies across the public and private sectors.
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).
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
Average annual salary range
Data Engineer
seek.com.au
Average annual salary range
Business Analyst (Computer Systems)
seek.com.au
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30 June
Queensland Biology Winter School, Year 11
Stories
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UQ people
Meet the expert: exploring counselling with Dr Kate Witteveen
4-minute read
Stories
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Uni life
From classroom to practice: insights from my Master of Counselling placement
3-minute read
![Counselling expert Professor Kate Witteveen](/sites/default/files/styles/card_image/public/2024-09/meet-expert-counselling-teaser.jpg?h=a81fead4&itok=FjpXTDS_)
UQ people
Meet the expert: exploring counselling with Dr Kate Witteveen
4-minute read
How you'll learn
Your learning experiences are designed to best suit the learning outcomes of the courses you choose.
- Lectures
- Tutorials
- 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 & Data Analysis
- High-Performance Computing
- Introduction to Bioinformatics
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