Master of Data Science

The Master of Data Science at Federation University Australia is designed to equip students with advanced analytical, computational, and research skills in the expanding field of data science. Students will engage with data-driven methodologies, including statistics, machine learning, big data management, and data visualisation, all contextualised within the Australian industry setting. The curriculum addresses both the technical and practical aspects of data science, preparing graduates for diverse roles requiring complex data analysis and insight generation.

This master's degree is structured over two years of full-time study and consists of a series of units of study, each contributing to the required total of credit points for completion. Students work through core, elective, and capstone units, culminating in a research project or dissertation that allows them to synthesise and apply their learning to real-world problems. The programme often integrates opportunities for professional placement or work-integrated learning, connecting students to Australian organisations and offering valuable workplace experience in sectors like health, finance, technology and government.

Core topics include statistical modelling, data mining, programming for data science, machine learning, and big data analytics. The course also fosters soft skills such as problem-solving, critical thinking, communication, and project management. Students gain experience using leading data science software and cloud-based tools, providing a technological foundation relevant for evolving workplace demands. Federation University’s industry links and research collaborations ensure students have access to current best practices and real-world case studies, particularly relevant in Australia’s rapidly growing data science sector.

This course is ideally suited to graduates from quantitative backgrounds such as mathematics, statistics, computing, or engineering, and early-career professionals seeking to upskill in data science. International students benefit from post-study work opportunities through the Temporary Graduate visa (subclass 485) and are eligible to work up to 48 hours per fortnight while completing their degree. Prospective students should confirm admission requirements, including English proficiency, on the official programme page.

• Data Scientist in sectors like finance, healthcare, government, and technology
• Business Intelligence Analyst supporting Australian corporations and agencies
• Machine Learning Engineer in industry and research innovation
• Data Analyst in consulting, public policy, or academic research
• Big Data Engineer in utilities, retail, and digital companies
• Work-integrated roles across diverse Australian organisations