Master of Data Science
- CRICOS Code: 092791B
Where will this take me?
IBM predicts that demand for US data scientists will grow 28% by 2020, and there’s a similar trend worldwide.
Our graduates go on to work as:
- Data scientists and analysts
- Software engineers
- Data infrastructure engineers
- Business intelligence analysts
Employers in this field include:
- Consulting firms such as EY, KPMG and Accenture
- Financial services companies including ANZ, CBA and NAB
- IT corporates such as IBM, Microsoft and Telstra
- Academic and public research institutions such as universities and the CSIRO.
Technical and professional skills
On graduating from the course you’ll have a sound knowledge of modern statistical methodology and computing that will equip you for a career in data science and enable your career to develop as data science evolves.
- have the ability to demonstrate advanced independent critical enquiry, analysis and reflection;
- have a strong sense of intellectual integrity and the ethics of scholarship;
- have in-depth knowledge of modern statistical methodology and computing
- reach a high level of achievement in writing, research or project activities, problem-solving and communication;
- be critical and creative thinkers, with an aptitude for continued self-directed learning;
- be able to examine critically, synthesise and evaluate knowledge across a broad range of disciplines;
- have a set of flexible and transferable skills for different types of employment; and
- be able to initiate and implement constructive change in their communities, including professions and workplaces.
At the end of the course, if you completed the additional research project, you will be well-placed to begin a PhD in the data science field if you choose.