Computational science combines fundamental principles from computer science, mathematics and statistics to solve scientific problems across any specialist field.
Recent advances in technology give scientists the ability to collect and process more data than ever before.
You'll develop 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.
Study and apply forecasting, data analysis or data visualisation to complex problems and the creation of new technologies.
Learn to effectively leverage artificial intelligence and machine translation tools in authentic programming contexts.
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 graduate with the knowledge to create a range of data visualisations and graphics to communicate your findings to scientific and non-scientific audiences.
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
- Business intelligence analyst
- Machine learning scientist
- Data analyst
- Research officer
- Banking analyst
- Security architect
- Health policy analyst
- Machine learning engineer
- Bioanalytical scientist
Average annual salary range
Data Scientist
seek.com.au
Average annual salary range
Data Engineer
seek.com.au
Next steps after graduation
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.
Find employment in:
- business and finance
- engineering
- government
- health
- information technology.
Or work in research and analytical roles to solve problems in biological sciences, bioinformatics, genomics, molecular and microbial sciences, mathematics and computer science.
My degree offers 26 different majors, giving me the wonderful gift of flexibility to explore the different flavours of science. I've been able to change my major without losing any time, credits or experiences.
My degree offers 26 different majors, giving me the wonderful gift of flexibility to explore the different flavours of science. I've been able to change my major without losing any time, credits or experiences.
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UQ science scholarships to help fund your studies
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Uni life
What's it really like to study science at UQ?
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Careers
What can you do with a Bachelor of Science?
7-minute read
Stories
See all storiesStudy tips
UQ science scholarships to help fund your studies
8-minute read
Uni life
What's it really like to study science at UQ?
9-minute read
Careers
What can you do with a Bachelor of Science?
7-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 [Core course]
- Machine Learning [Core course]
- Visualization, Computer Graphics & Data Analysis [Core course]
- High-Performance Computing [Core course]
- Scientific Computing: Advanced Techniques & Applications [Elective]
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