Master of Data Science

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Graduate Coursework

Master of Data Science

1in Australia for Data Science and AI
19university in the world
Course code: MC-DATASC
CRICOS code: 092791B

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Duration

2 years full time

Mode (Location)

On campus (Parkville)

Intake

March\ Key dates

Fees

AUD $57,984 (2026 indicative first year fee)\ Learn more

English language requirements

IELTS 6.5: with no band less than 6.0\ View full entry requirements

How to apply

Enquire

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Student experience

Overview

Getting you career ready

The capstone project of the Master of Data science gives you a chance to prove that you’re ready to enter the workforce as a data science professional.

You’ll take what you’ve learned during the degree and use it to tackle a practical data science question. The question might relate to science, industry, commerce or society generally.

By presenting technically correct results in a client-ready format, you’ll showcase what you have to offer future employers.

Be part of an international community

As a Masters student you’ll mingle regularly with eminent researchers from the University of Melbourne and beyond at our seminars.

You’ll benefit from close proximity to these important research centres and organisations – all located on campus:

Get involved with the Melbourne University Mathematics and Statistics Society and the Statistics and Mathematics Postgraduate Society to network with other students with similar interests.

Career connections

There are many events that will connect you with industry and employers throughout the year. You’ll also have the opportunity to network with and learn from professionals in your field, and to join the STEM Industry Mentoring Program to develop your communication skills and employability.

Volunteering

While you’re studying with us, why not get involved with volunteering to extend your learning opportunities, connect with communities, and enhance your employability. One opportunity for volunteering is through the Science Student Ambassadors program.