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
26 February 2024
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 per cent.
English language requirements:
IELTS (academic English Only): 6.5 (no band less than 6.0);
TOEFL (paper-based test): 577 +, TWE 4.5;
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.
Application closing date: Start-year (March) intake - apply by 31 October.
*There may be different IELTS requirements depending on your chosen course.
The University of Melbourne is Australia’s leading university, enabling students to develop sustainable learning and in-demand employability skills.
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