Master of Data Science

Course overview

Study data science

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.

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.