Apply your technical skills and mathematical knowledge to translate complex data into meaningful insights that help shape our future.
Recent advances in technology give scientists the ability to collect and process more data than ever before.
Computational science combines fundamental principles from computer science, mathematics and statistics to solve scientific problems across any specialist field.
Develop your skills in computational thinking and apply computational problem-solving strategies to design algorithms for collecting, processing and analysing vast amounts of data from various sources.
Apply your programming skills to construct large-scale mathematical models and simulations to analyse and interpret real-world data and generate meaningful insights.
You’ll learn to create a range of data visualisations and graphics to communicate your findings to scientific and non-scientific audiences.
Skills in computational science are essential for all scientific disciplines and any career where computational techniques are required for problem-solving, forecasting, data analysis or data visualisation.
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:
- Bioinformatician
- Research officer
- Data scientist
Graduate salary
Science and mathematics (undergraduate)
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Institute of Modern Languages High School Enrichment Program
7 April
International Baccalaureate Research Skills Program
Stories
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Camila’s experience as a summer research scholar
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Meet the expert: exploring sports nutrition with Dr Brooke Devlin
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Stories
See all storiesUni life
Camila’s experience as a summer research scholar
5-minute read
UQ people
Meet the expert: exploring sports nutrition with Dr Brooke Devlin
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
- Laboratory work
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
- Introduction to Bioinformatics
- Visualization, Computer Graphics & Data Analysis
- Machine Learning
- High-Performance Computing
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