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University of Melbourne

  • 37% international / 63% domestic

Master of Data Science

  • Masters (Coursework)

The Harvard Business Review has labelled data science the ""sexiest job of the 21st century"".

Key details

Degree Type
Masters (Coursework)
Duration
2 years full-time, 4 years part-time
Course Code
092791B
Study Mode
In person
Intake Months
Mar, Jul

About this course

The Harvard Business Review has labelled data science the "sexiest job of the 21st century".

If they meant that jobs in data science are increasing dramatically, that data scientists can work in fields as diverse as health, retail or ecology, and that data scientists are commanding high salaries, then they were spot on.

After all, we're creating more than 2.5 exabytes of data every day. Someone needs to make sense of it all.

Entry requirements

Study locations

Parkville

What you will learn

Course structure

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

  • Core statistics subjects (50 points)
  • Core computer science subjects (50 points)
  • Elective subjects (75 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.

If you are coming from the Graduate Diploma in Data Science or a University of Melbourne Data Science undergraduate major (or equivalent), you may be eligible for an accelerated 1.5-year (150-point) program, receiving up to 50 points of credit.

Once you've taken care of any prerequisites, you can choose from a diverse list of data science or professional skills electives. If you'd like to gain experience in a science and technology workplace or with research, you can do an 80-100-hour internship subject or take on an additional research project.

All students undertake a data science capstone project, over one academic year, working on a practical data science research question either individually or as part of a team.

Career pathways

Career outcomes

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.

How to apply

Application closing dates

2021 mid-year intake
31 May 2021

2022 start-year intake
30 November 2021

Graduate outcomes

Graduate satisfaction and employment outcomes for Computing & Information Systems courses at University of Melbourne.
74.8%
Overall satisfaction
83%
Skill scale
65.7%
Teaching scale
80.7%
Employed full-time
$75k
Average salary