Overview

Develop in-demand data science skills

Join the rapidly evolving field of data analytics and build your advanced statistics, machine learning, and programming skills. Build foundational technical and analytical skills for working with large, complex collections of data. And dive deeper with specialisation streams and a dedicated major data science project.

Key features

• Build industry connections. Build connections with researchers from on-campus partners like the Australian Mathematical Sciences Institute and Melbourne Integrative Genomics.
• Flexible study options. Choose from four data science specialisations: foundational, statistical, computational, and computational and statistical.
• Showcase your skills. Apply data science tools to a practical problem in the final year capstone subject. Work individually or in a group and present your technically correct results in a client-ready format.

Learn more

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Why study data science at Melbourne?

Combine a strong theoretical foundation with practical skills, and tailor your learning to suit your career goals. You will graduate with detailed technical understanding of advanced data science tools, including expertise in machine learning methods, advanced data mining, database systems, and computational statistics.

• Flexible entry. Enter with a computer science or statistics background, or complete core subject prerequisites if you’re coming from a different background.
• Solve real-world challenges. Apply your knowledge using public and private data sources.
• Go beyond technical skills. Choose an elective like science communication, or build job-ready skills with a science or technology internship.

Student support

The School of Mathematics and Statistics offers Master of Data Science students dedicated support from experienced academic advisors and peers.

• Research seminars. Learn from leading academics from the University research institutions, as well as partner organisations.
• Data Science Peer-to-Peer Mentoring. Connect with current students and build personal and supportive networks across the data science program. After your first year, take the opportunity to become a mentor yourself.
• Mathematics and Statistics Society. Engage with like-minded students through mathematically inspired events, study groups and seminars.
• Statistics and Mathematics Postgraduate Society. Designed specifically for postgraduate students, StAMPS offers academic and social support through events, study sessions, and seminars.

As a Melbourne student, you'll be supported to succeed — in your studies, your wellbeing and your finances.

• International student support. Visa and arrival help when you need it.
• Academic skills and advice. Meet an advisor or join a workshop to get the most from your studies.
• Global exchange. Study overseas through our network of global partners.
• Mentoring and community. Explore student life and student and alumni mentoring programs.
• Wellbeing and accommodation. Access health, counselling and accommodation support.
• Fees and scholarships. Find scholarships you're eligible for and manage your finances.

See all the ways Melbourne supports our students

What students say

AI is moving so quickly, how do we stay ahead? Jiani Xie answers this question through her Master of Data Science research project on AI model robustness.

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About the faculty

Visit the School of Mathematics and Statistics to learn more about the school's degrees, research and career planning support.