Master of Data Science

at University of Melbourne

Course structure
The Master of Data Science is a 200-point program, made up of:

• 3 Core statistics subjects (37.5 points)
• 3 Core computer science subjects (37.5 points)
• Elective subjects (50 points), including prerequisite subjects if needed (up to 50 points), data science or professional skills subjects or a research project.
• Capstone data science project (25 points)
• Your elective subjects will be tailored to you, depending on your previous academic background and your interests.

First, you’ll need to look at whether you need any prerequisite subjects:

• If you have a statistics background, you’ll complete computer science prerequisite subjects.
• If you have a computer science background, you’ll complete statistics prerequisite subjects.
• If you meet both the computer science and statistics prerequisites, no prerequisite subjects are needed.

To be considered for entry, you must have completed:

• An undergraduate degree with a major in a relevant discipline (computer science, data science or statistics) with a weighted average mark (WAM) of at least 65 per cent, and
• 12.5 points (one subject) of university-level computer science (or equivalent) with content focused on computer programming, and
• Both the following subjects (or their equivalents):
• MAST10006 Calculus 2
• MAST10007 Linear Algebra

Indicative first year fee
AUD$37,984

Indicative total course fee
AUD$77,867

Our graduates go on to work as data scientists and analysts, software engineers, data infrastructure engineers, business intelligence analysts and statisticians.

Employers in this field include:

• Consulting firms such as EY, KPMG and Accenture
• Financial services companies including Citibank, ANZ, CBA and NAB
• IT and telecommunication companies such as IBM, Microsoft and Telstra
• Government departments and organisations, such as the Australian Bureau of Statistics
• Universities and public research institutions such as the CSIRO.