Masters (Coursework)
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.
The Master of Data Science is a 200-point program, made up of:
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 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.
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:
2021 mid-year intake
31 May 2021
2022 start-year intake
30 November 2021