Apply your technical skills and mathematical knowledge to translate vast amounts of 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:
- Data scientist
- Bioinformatician
- Risk analyst
- Research analyst
- Cyber security analyst
- Software engineer
- Biostatistician
- Quantitative analyst
- Data and insights analyst
- Applied statistician
Average annual salary range
Data Manager
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Average annual salary range
Mathematician
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Next steps after graduation
The Bachelor of Mathematics provides quantitative training that will set you apart in the job market and see you excel in mathematics or one of the many disciplines it influences.
With a degree in mathematics, you will be sought by industry for your excellent quantitative and problem-solving abilities, and gain a wide range of rewarding positions in the public and private sectors. This includes roles in:
- finance
- economics
- mathematical research
- statistics
- actuarial studies
- quantitative finance
- meteorology
- information technology
- data science
- teaching.
The problem-solving skills I developed during my mathematics degree have been so widely applicable to the range of projects I have worked on in my undergraduate research and in my role as a Data Analyst Consultant.
Mathematics is a broad field of study, and I enjoy being exposed to its many sub-fields and being able to work out mathematical solutions with my classmates to problems I've grappled with for hours or days.
The problem-solving skills I developed during my mathematics degree have been so widely applicable to the range of projects I have worked on in my undergraduate research and in my role as a Data Analyst Consultant.
Mathematics is a broad field of study, and I enjoy being exposed to its many sub-fields and being able to work out mathematical solutions with my classmates to problems I've grappled with for hours or days.
Events
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29 June
Queensland Biology Winter School, Year 12
1 July
International Baccalaureate Research Skills Program
Stories
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UQ people
Making the greatest mathematical discoveries
3-minute read
Stories
See all storiesUQ people
Making the greatest mathematical discoveries
3-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:
- Introduction to Software Engineering
- Bioinformatics 1: Introduction
- Numerical Methods in Computational Science
- Visualization, Computer Graphics & Data Analysis
- High-Performance Computing
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