Master of Data Science
Source: https://study.unimelb.edu.au/find/courses/graduate/master-of-data-science/ Parent: https://study.unimelb.edu.au/study-with-us/graduate-courses/information-technology-and-computer-science
Master of Data Science
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1in Australia for Data Science and AI
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19university in the world
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Course code: MC-DATASC
- CRICOS code: 092791B
International student Change
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
Master of Data ScienceHow to applyEnquire
Overview
Course overview
Overview
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.
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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.
- 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.
Stop 1 offers support across the full range of student services. Attend a workshop, visit in-person (on Swanston Street), or submit an enquiry online.
- Course planning and academic skills advice. Meet with an advisor or attend a workshop to make the most of your studies.
- Mentoring opportunities. Learn more about academic and peer mentoring opportunities.
- Global exchange and overseas study support. Explore overseas study opportunities with a wide range of global partners.
- Fees and scholarship information. Get on top of your finances and learn about scholarships.
- Visa information. Have your visa questions answered.
- Wellbeing and accommodation. Understand options for financial support, accommodation, and counselling.
- Student administration. Help with all aspects of student admin, including organising your student cards and IT.
What students say
“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
Learn more
Learn more about graduate study in the School of Mathematics and Statistics.
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