Program Overview

Master of Data Science

Overview

The Master of Data Science is a graduate coursework program that develops in-demand data science skills, including advanced statistics, machine learning, and programming. The program allows students to 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, working individually or in a group, and present technically correct results in a client-ready format.

Why Study Data Science at Melbourne?

Combine a strong theoretical foundation with practical skills and tailor learning to suit career goals. Graduates will have a 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 from a different background.
• Solve real-world challenges: Apply 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 University research institutions and partner organisations.
• Mathematics and Statistics Society: Engage with like-minded students through mathematically inspired events, study groups, and seminars.
• Statistics and Mathematics Postgraduate Society (StAMPS): Designed specifically for postgraduate students, offering academic and social support through events, study sessions, and seminars.

Course Details

• Course code: MC-DATASC
• Duration: 2 years full-time / 4 years part-time
• Location: On campus (Parkville)
• Intake: March
• Fees: Commonwealth Supported Places (CSPs) available

Student Testimonial

"There is data everywhere, and you can make an impact if you have the right tools. If you can uncover insights within data, you can help make decisions and reshape strategies in all businesses. My advice is to embrace both the challenges and opportunities offered by the program. The University of Melbourne is always fostering an environment with a global perspective it's really impressive how you can collaborate with peers from different parts of the world and reshape your mindset." - Mayra Bornacelly, Master of Data Science

Related Study Areas

• Computer science
• Data and analytics
• Data science
• Information technology and computer science
• Mathematics and statistics
• Science