You'll enter the Master of Data Science with a background in computer science or statistics (or both), and the course will be tailored to build your skills in the other discipline.
Core subjects will give you a solid grounding in data science, so you’ll have the technological and analytical abilities that are vital for managing and interpreting large, complex collections of data.
Beyond the core subjects, elective subjects give you the freedom to dive deeper into a specialist area of data science.
The Master of Data Science is a 200-point program, made up of:
Career outcomes
Our graduates go on to work as data scientists and analysts, software engineers, data infrastructure engineers, business intelligence analysts and statisticians.
*Price shown is for indicative purposes, please check with institution
3 March 2025
The University of Melbourne
Parkville Campus,
Grattan Street,
UNIVERSITY OF MELBOURNE,
Victoria,
3010, MELBOURNE, Australia
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 percent
English language requirements:
IELTS (academic English Only): 6.5 (no band less than 6.0)
TOEFL Internet-based test: 79 + ; Writing 21; Speaking 18; Reading 13; Listening 13;
Pearson Test of English Academic: 58 + no communicative skill below 50
Cambridge English: Advanced/ Certificate of Advanced English (CAE): 176 + no skill below 169.
*There may be different IELTS requirements depending on your chosen course.
The University of Melbourne offers unparalleled industry-integrated teaching and learning to set students up for success.