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Minor

Computational Science

Diploma in Science
Overview Study details

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.

Highlights

1 in Queensland for computer science and information systems

QS World University Rankings 2024

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 analyst
  • Scientific consultant

Graduate salary

Science and mathematics (undergraduate)

$40K–$85K

compared.edu.au

How you'll learn

Your learning experiences are designed to best suit the learning outcomes of the courses you choose.

  • Lectures
  • Tutorials
  • Laboratory work
  • 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
  • Introduction to Computer Systems
  • Algorithms & Data Structures
  • Visualization, Computer Graphics & Data Analysis
  • High-Performance Computing

See courses and program structure

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