Sorry, this program is not available for local students.
Please contact Info Corner to discuss other study options.
Sorry, this program is not available for international students intending to study on a student visa.
If you hold a different visa type, you may be eligible. Please contact us for more information.
Statistics is the mathematical science of collecting and analysing data to draw conclusions and make predictions.
Statisticians contribute to scientific enquiry by applying their technical knowledge to the design of surveys and experiments; the collection, processing, and analysis of data; and the interpretation of the results.
If you choose to study statistics at RMIT, you’ll learn to use several industry-relevant computer packages and gain the skills and knowledge to apply statistics to a broad range of industries.
Statisticians apply problem-solving and data analysis skills to fields including:
- banking and finance (maximising profit and minimising risk)
- medical research (treatment and drug efficacy)
- environmental modelling (resources, biodiversity, weather and climate)
- marketing (market segmentation and clustering).
A wide variety of companies rely on statistics for reporting, data modelling and forecasting operational results.
This program - one of only a few stand-alone statistics programs offered in Australia - is highly regarded for its industry engagement and employment focus.
RMIT statistics graduates are prized for their hands-on IT literacy, problem-solving skills and exposure to real-world statistical problems throughout their studies.
This program is for you if you're interested in:
- solving problems through data analysis
- predicting future trends in the environment, economy and finance
- sports statistics
- the practical application of mathematics and statistics theory.
Statisticians must know more than statistics. A statistician who works in medicine or in a manufacturing plant or in market research must learn enough about medicine or engineering or marketing to understand the data in their setting.
Statisticians need the ability to work with other people, to listen, and to communicate.
International student visa holders can only study full-time.
Classes are taught through a combination of lectures, seminars, tutorials, online reading, workshop, practical and laboratory sessions. These are primarily in English.
You'll have access to online resources through the myRMIT student portal.
Ongoing assessment throughout the semester includes examinations, essays, reports, oral classes, presentations, group projects, research projects, laboratory projects and practical assignments.
During third year you'll undertake a project that's linked to industry and the real problems you'll face in the workforce.
Students have worked on industry projects in organisations including VicRoads, Victorian Institute of Sport (Melbourne Vixens), Badminton Australia, Bureau of Meteorology, Australian Bureau of Statistics, National Australia Bank, Dairy Innovation Australia, Deloitte Australia, Florey Institute of Neuroscience and Mental Health, Crown Melbourne Limited, Red Cross Blood Bank, The Smith Family, and Biarri Commercial Mathematics, to name just a few.
More and more professions, from the everyday to the exotic, depend on data and numerical reasoning.
There is a chronic undersupply of statistics graduates, and the Australian Government forecasts a 33% growth in demand for statisticians over the next three years. There has never been a better time to study statistics.
Graduates work in sports statistics at the AIS Australian Institute of Sport and the Australian Football League (AFL) and in the public service for organisations like such as Australian Security Intelligence Organisation (ASIO), Australian Bureau of Statistics (ABS), Bureau of Meteorology and Australia Post. They also enter many banking and finance careers.
Program and course information
Make predictions, analyse and interpret data
Statistics is part of everyday life. Questions like ‘What are the chances that it will rain today?’ and ‘What’s the likelihood that my football team will win?’ are common.