Masters (Coursework)
A competitive edge in data science
Data is "the new oil" of the 21st century. Big data and data science are revolutionising many fields-from science and engineering to economics, the tech sector, and digital humanities.
Our Master of Data Science places you at the forefront of this new field.
We give you the knowledge and skills to discover patterns and generate insights from complex datasets. Our flexible program structure lets you customise your study to the areas you care about. You'll be taught by international research leaders in data science and machine learning. Finally, you'll apply your skills in a research project and data science industry internship, to launch you into your next career.
What will you do during a Master of Data Science?
How will you study?
This program is able to be studied in either part-time, standard full-time or accelerated mode-enabling you to undertake your studies at a pace and level of commitment that suits you. For further information, see the Degree Structure section.
Where could a Master of Data Science take you?
You might help large or small businesses use data to make more informed decisions in the face of uncertainty. You could analyse data to forecast trends and predict risk in industry, government, or science. Perhaps you'll come up with innovative big data management systems as a data architect. Whatever you do, you'll be at the cutting edge of one of the most rapidly-growing fields in the workforce right now.
This program is accredited by the Australian Computer Society (ACS) .
^ARWU, 2022
Study mode
This program is able to be studied in either part-time, standard full-time or accelerated mode-enabling you to undertake your studies at a pace and level of commitment that suits you*.
You can even choose the study load that works best for you at different times of the year.
Whatever mode you choose, our interactive blend of online and face-to-face learning supports you in fitting your study around other commitments-without compromising on authentic and immersive learning experiences.