RMIT University
Master of Data Science
Nationally Recognised Higher EducationGain the skills to navigate huge volumes of data generated via social media, financial transactions, transportation and scientific discovery as a data scientist.
This interdisciplinary field of data science combines computer science with mathematical statistics and domain expertise to manage and analyse data. As a data scientist, you'll develop the capability to derive insight and opportunity from the vast repositories of information that organisations collect. Data science also puts an emphasis on the specialised computational skills required to manage and analyse big data from sources such as massive sensors, mobile and transaction data.
Through data science, businesses gain a competitive edge, governments deliver more targeted services and research teams make new discoveries.
Delivery mode
RMIT University offers this course through the following delivery modes:
On campus
Work with instructors and classmates in a supportive and collaborative environment.
- 124 La Trobe Street, Melbourne
Entry requirements
Domestic Students
- There are no mandated entry requirements.
You must have:
- An Australian bachelor degree in computing, science, engineering, or health, or statistics with a GPA of at least 2.0 out of 4.0, or equivalent.
OR
- You may also be considered if you have an Australian bachelor degree with a GPA of at least 2.0 out of 4.0, or equivalent and; relevant completed courses in programming and statistics in an undergraduate or postgraduate degree or a minimum three years’ of current, relevant work experience or professional practice as a programmer, statistician or equivalent.
If you wish to have industry or employment experience assessed as part of meeting the entry requirements you will need to provide a detailed CV/resume listing previous positions, dates of employment and position responsibilities; a statement from your employer confirming these details (or contact details of employer so RMIT can seek confirmation); and evidence of any relevant professional development undertaken.
International qualifications are assessed for comparability to Australian qualifications according to the Australian Qualifications Framework (AQF).
Additional requirements may apply.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 RMIT University
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