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Sciences degrees

Mathematics and Statistics degrees


Whether it's for developing models to predict the financial markets, determining product quality, weather patterns and environmental changes, detection of disease or breaking complex security codes, the world needs more mathematicians and statisticians. Our Mathematics and Statistics degrees are the only degrees of this kind offered via online education in Queensland. 

Explore UniSQ's Mathematics and Statistics degrees

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What is the difference between a math degrees and statistics degrees?
A degree in mathematics focuses on the study of abstract mathematical concepts, theories, and principles. It covers topics such as algebra, calculus, geometry, number theory, and mathematical proofs. 

A statistics degree focuses on the collection, analysis, interpretation, and presentation of data. It includes topics such as probability theory, statistical modelling, experimental design, and data analysis techniques. Our statistics and math courses at UniSQ are part of our Sciences study area and provide a comprehensive foundation in both pure mathematics and applied statistics. 
Can I combine mathematics and statistics in my course?
Yes, UniSQ offers degrees that include mathematics and statics majors together allow you to gain a comprehensive understanding of both specialisations and explore the synergies between mathematics and statistics. By pursuing a combined math and statistics course, you can develop a strong foundation in mathematical concepts and techniques while also acquiring essential statistical knowledge and skills. This interdisciplinary approach will equip you with a versatile degree and open doors to a wide range of career opportunities in fields such as data science, finance, research, and more.
What skills are important for success in mathematics and statistics careers?
  • Strong analytical and problem-solving abilities: Mathematics and statistics professionals must possess the capability to analyse complex problems, identify patterns, and develop innovative solutions using logical and systematic approaches.
  • Proficiency in mathematical and statistical techniques: A solid understanding of mathematical concepts and statistical methods is crucial for conducting accurate data analysis, constructing models, and making informed decisions based on quantitative information.
  • Critical thinking and logical reasoning: The ability to think critically, evaluate evidence, and apply logical reasoning.
  • Attention to detail and accuracy in data analysis: Precise attention to detail ensures accurate data collection, proper application of statistical methodologies, and reliable interpretation of results, contributing to sound decision-making.
  • Computational skills and familiarity with programming languages: Proficiency in programming languages such as R or Python enables efficient data manipulation, modelling, and simulation, supporting advanced data analysis and algorithm development.
  • Ability to work with large datasets and apply appropriate statistical methods: Being skilled in handling and analysing large datasets, selecting suitable statistical techniques, and interpreting results allows professionals to draw meaningful insights and make evidence-based decisions. 
How can I apply mathematics and statistics in real-world contexts?

Mathematics and statistics have a wide range of real-world applications. In fields such as finance, economics, engineering, data science, allied health, market research, and social sciences, mathematical and statistical methods are used to analyse data, make predictions, solve problems, and inform decision-making. They are also applied in areas like risk analysis, quality control, optimisation, cryptography, actuarial science, and scientific research.

By developing a strong foundation in mathematics and statistics, you can apply these disciplines to address real-world challenges and contribute to various industries and research fields.

What are the career opportunities for graduates with mathematics and statistics degrees?

A mathematics and statistics degree from UniSQ can lead to a range of career options, including:

  • Data analyst
  • Actuary
  • Financial analyst
  • Operations research analyst
  • Research scientist
  • Statistician
  • Quantitative analyst
  • Data scientist
  • Mathematics educator. 
Are flexible study options available?

UniSQ understands the need for flexibility to balance your education with other commitments. We provide a range of study options, including on-campus, external, and online math courses which gives you the option to learn your subject theory where and when it suits you.  As an external student, you’ll experience the same level of support and opportunity to connect with others.

You can also adjust your math degree enrolment to meet your needs. Take one subject at a time, or study extra subjects when life allows it.

Why study Mathematics and Statistics at UniSQ?

A degree in mathematics and statistics at UniSQ provides a comprehensive understanding of mathematical concepts, statistical methods, and data analysis. When you study a mathematics degree or degree in statistics at UniSQ you will benefit form valuable opportunities for career advancement across diverse fields, practical relevance in today's data-driven world, and meaningful industry connections.

Our math courses focus on theoretical foundations and real world applications, whilst our statistics major provide students with a solid grounding in statistical methodologies and data analysis techniques. By acquiring a strong foundation in mathematics and statistics at UniSQ, you can work on projects from developing financial market models, assessing product quality, analysing weather patterns, detecting diseases, or solving intricate security codes. The possibilities are endless at UniSQ.

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