About the course
Develop advanced data science and analytics capability across the full data lifecycle, turning complex information into insights for strategic decisions. You’ll build strong foundations in maths, statistics and programming, then progress to data management, modelling, wrangling and modern techniques such as machine learning, AI and predictive analytics. The course includes industry-engaged learning and culminates in an honours research project in data science. The programme builds programming, systems thinking, and data skills for technology-driven industries and startups.
Career outcome
Graduates can pursue roles where advanced analytics and modelling are required, applying data management, machine learning and AI techniques to real-world problems. Potential pathways include data scientist, data analyst, analytics consultant, machine learning/AI analyst, business intelligence specialist, or research-focused roles. Opportunities span technology, finance, government, health, retail and other data-intensive sectors for Bachelor (Honours) study in data science. Preparing graduates for software development, IT support, data analysis, and technology consultancy entry roles.
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 |

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