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About the course
Swinburne’s Master of Data Science builds advanced capability in extracting value from complex data using modern analytics, machine learning and computing tools. You’ll develop practical skills through applied projects and industry-relevant problem solving, learning to manage data pipelines and communicate insights for decision-making. The course is designed for postgraduate students aiming to deepen expertise in data-driven technologies within IT and computer science. The programme deepens expertise in software architecture, data systems, and emerging technologies for advanced IT leadership.
Career outcome
Graduates can pursue roles where organisations need advanced analytics and machine learning expertise, including data scientist, machine learning engineer, data analyst, business intelligence specialist and analytics consultant. Career paths span technology, finance, health, government and other data-intensive sectors, with opportunities to work on predictive modelling, data engineering and insight-driven strategy. This is a master’s-level pathway into professional data science and advanced computing careers.
Living Costs in Melbourne**
Restaurant (Meal, Inexpensive Restaurant) A$ 15 - 20 |
Rent per Month (1 bedroom in City Centre) A$ 1,583 - 2,094 |
Rent per Month (1 bedroom Outside of Centre) A$ 1,207 - 1,596 |
Transportation (Daily) A$ 7 - 9 |
Utilities per Month (Electricity, Mobile & Internet) A$ 240 - 318 |
Average Salary***
