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.
Further your understanding of the mathematical and statistical modelling of data to forecast trends and predict outcomes in a variety of industries including scientific and commercial sectors.
The program will develop your knowledge of statistical and operations research methodologies.
You’ll combine a theoretical foundation with practical applications of current techniques employed by practising engineers, scientists and other professionals in industry, research, consulting, teaching and business.
This is achieved using statistical software accompanied by an in-depth understanding of the statistical processes involved.
You will be particularly knowledgeable, creative and critical in the sense of how you interpret and analyse data. You will also be equipped with the ability to apply knowledge to solve a wide range of real-world problems.
You’ll be exposed to a wide variety of analytics tools including R, SQL, SAS Enterprise Guide, SAS Enterprise Miner, Python, Java, Julia, CPLEX, Gurobi and Arena.
The program includes an industry project component and/or minor thesis which will develop your consulting and research skills.
Based on your previous studies you may be eligible for exemptions that may shorten your program duration to one year full-time.
International student visa holders can only study full-time.
The program is offered through a flexible combination of lectures, tutorials and computer laboratory classes.
Classes are usually held once a week in the evenings. There are also opportunities for you to work as part of a team on projects and in consulting activities.
You'll apply your knowledge and skills via consulting and work-integrated learning (WIL). Your involvement with industry projects and data will give you the chance to build your theoretical capabilities in the context of practical problems.
The program is linked to industry through the Program Advisory Committee (PAC) and through various consulting and research projects undertaken by staff.
Members of the PAC provide valuable input and are a major driver for change in the program, particularly with regard to industry trends and future graduate capabilities, the use of state-of-the-art software, the introduction of specialisations and, most importantly, support for the use of work-integrated learning (WIL).
WIL will be visible in each year of the program through guest speakers, industry projects, and when available, student placements/internships in industry.
Demand for statistical and operations research skills is growing in a data-driven world.
Graduates are employed by a variety of scientific, commercial and government enterprises, most commonly as data scientists, statisticians, business analysts, consultants, modellers and researchers.
Professional recognition and accreditation
Graduates are eligible for membership of the following organisations:
Program and course information
Develop your consulting and research skills
Further your knowledge of statistical and operations research methodologies.