The University of Melbourne
Master of Data Science
Nationally Recognised Higher EducationThe Harvard Business Review has labelled data science the "sexiest job of the 21st century". If they meant that jobs in data science are increasing dramatically, that data scientists can work in fields as diverse as health, retail or ecology, and that data scientists are commanding high salaries, then they were spot on. After all, we're creating more than 2.5 exabytes of data every day. Someone needs to make sense of it all.
Delivery mode
The University of Melbourne offers this course through the following delivery modes:
On campus
Work with instructors and classmates in a supportive and collaborative environment.
- Grattan Street, Parkville
Entry requirements
Domestic Students
- There are no mandated entry requirements.
To be considered for entry, you must have completed:
- An undergraduate degree with a major in a relevant discipline (computer science, data science or statistics) with a weighted average mark (WAM) of at least 65 per cent, and
- 12.5 points (one subject) of university-level computer science (or equivalent) with content focused on computer programming, and
- Both the following subjects (or their equivalents):
- MAST10006 Calculus 2
- MAST10007 Linear Algebra
English language requirements
- IELTS: you need a score from a minimum of 6.5 or more in the Academic International English Language Testing System (IELTS), with no bands less than 6.0.
- TOEFL: you need a score from a minimum of 577+ including a score of at least 4.5 in the Test of Written English for a paper-based test. Or a score of at least 79 and scores of at least 21 for writing, 18 for speaking, 13 for reading, 13 for listening for an internet-based test.
- Pearson Test of English: you need an overall score from a minimum between 58-64 inclusive and achieve no PTE communicative skills score below 50.
- Cambridge English, Advanced/Certificate in Advanced English (CAE): you need a Cambridge English Score from a minimum 176 with no skill below 169.
Course fees
For more information about this course and payment options please enquire now.
Career opportunities
The Master of Data Science will prepare you for the following roles.
Data Scientist
A Data Scientist looks for trends in data to provide information that guides organisational decisions. You might work for a retail business to prov...
Data Architect
A Data Architect manages data collection and management for a business or organisation. You’ll design management systems for organising and storing...
Analytics Manager
An Analytics Manager oversees the collection and analysis of data to support business decisions. You might work in various industries, including fi...
Big Data Engineer
A Big Data Engineer is responsible for designing and implementing robust data processing systems that facilitate the handling and analysis of large...
Machine Learning Engineer
A Machine Learning Engineer develops and implements machine learning models and algorithms to solve complex problems. You might work in technology...
Data Manager
A Data Manager oversees an organisation's data management processes, ensuring data integrity and accessibility. You may work in various sectors, fo...
Computational Physicist
A Computational Physicist applies computational methods and algorithms to solve complex physical problems. You might work in a research facility, u...
AI Specialist
An AI Specialist is a professional focused on the development, implementation, and optimisation of artificial intelligence systems within various i...
Computer Vision Engineer
A Computer Vision Engineer develops systems that enable computers to interpret and understand visual information from the world. You might work in...
AI Consultant
An AI Consultant is responsible for guiding organisations in the adoption and implementation of artificial intelligence technologies to enhance bus...
AI Ethicist
An AI Ethicist examines the ethical implications of artificial intelligence technologies. You might work within technology companies, research inst...
AI Architect
An AI Architect is responsible for designing and implementing advanced artificial intelligence solutions that align with the strategic goals of an...
Bioinformatics Scientist
A Bioinformatics Scientist analyses complex biological data using computational tools and methods. You might work in research institutions, pharmac...
Predictive Modeller
A Predictive Modeller analyses data to forecast trends and outcomes that support decision-making processes in various industries. You might work in...
Sports Analyst
A Sports Analyst evaluates and interprets data related to sports performance and strategy. You might work with sports teams, media outlets, or rese...
Biomathematician
A Biomathematician applies mathematical principles and techniques to solve complex problems in biology and medicine. You might work in research ins...
About The University of Melbourne
Australia's leading university.
Our distinctive Melbourne experience helps graduates become well-rounded, thoughtful and skilled professionals – making a positive impact across the globe.
Our research contributes to solving social, economic and environmental challenges the world is facing today and into the future. We’re tightly connected with our communities, at home and abroad, which only enriches our learning, teaching, and research.
