Master of Data Science

About the course

The Master of Data Science develops advanced technical and analytical capability for working with large, complex data sets, combining statistics, machine learning and programming. Students can tailor their study through specialisation streams and complete a substantial capstone data science project to apply tools and methods to practical problems.

What you might learn

Students learn to design and implement data science workflows, including data mining, database systems, computational statistics and machine learning methods. The course builds the ability to produce technically robust analyses and communicate results in a client-ready format through project-based learning and a final capstone experience.

Career outcome

Graduates can pursue roles applying data-driven methods across industry and research, including data scientist, machine learning practitioner, data analyst and statistical/quantitative analyst. Skills are relevant to sectors such as technology, finance, health and biosciences, government, and any organisation working with large-scale data for decision-making and product development.

Entry requirements

Enter with a background in computer science or statistics, or complete core subject prerequisites if coming from a different background. English language requirement: IELTS 6.5 with no band less than 6.0.

Living Costs in Melbourne**

Restaurant (Meal, Inexpensive Restaurant) A$ 15 - 20	Rent per Month (1 bedroom in City Centre) A$ 1,583 - 2,094	Rent per Month (1 bedroom Outside of Centre) A$ 1,207 - 1,596
Transportation (Daily) A$ 7 - 9	Utilities per Month (Electricity, Mobile & Internet) A$ 240 - 318

Average Salary***

*Source: QS World University Subjects Rankings (2026)

**Source: numbeo.com

***Source: PayScale.com (2026)