University of Western Australia

What you'll study

The Master of Data Science combines core modules in statistics, machine learning and programming with applied subjects in databases, big data technologies and data visualisation. Typical topics include probability and statistical inference for data, supervised and unsupervised learning, time series and forecasting, scalable data management, cloud and parallel computing for large datasets, and ethical, legal and social issues in data use.

Students normally complete a mix of compulsory core units and electives that allow specialisation in areas such as machine learning, data engineering, computational statistics, bioinformatics or business analytics. The degree includes practical, project-based assessment and often a major capstone or industry project that gives hands-on experience with real datasets and collaborative problem solving. A research stream or thesis option may be available for students interested in research careers or doctoral study.

Entry requirements

Applicants are expected to hold a recognised bachelor degree or equivalent. Admission is competitive and favours applicants with prior study or demonstrable experience in mathematics, statistics, computer science or another quantitative discipline. Programming skills (for example in Python, R or equivalent), basic knowledge of probability and linear algebra, and experience working with data are advantageous.

Domestic and international applicants must meet the University of Western Australia's general postgraduate entry and English language requirements. Additional academic documentation, a CV and evidence of relevant experience may be requested as part of the application assessment.

Career prospects

Graduates from this programme are prepared for a range of data-centred roles. Common job titles include data scientist, data analyst, machine learning engineer, data engineer, business intelligence analyst and analytics consultant. The skills developed are applicable across sectors such as finance, resources and energy, health and medical research, government, technology and consulting.

Alumni also use the degree as a pathway to doctoral research or specialist technical roles that require advanced capability in statistical modelling, algorithm development and large-scale data systems.

Why study at University of Western Australia

UWA offers a strong research environment in computing, statistics and data science, with academic staff engaged in applied and interdisciplinary projects across health, engineering, business and the resources sector. Students benefit from industry links and collaboration opportunities with local and national partners, providing pathways to real-world data projects and internship possibilities.

The University provides modern computing facilities and access to high-performance computing infrastructure, along with student support services, career development workshops and a research-active community that can help prepare graduates for both professional practice and further study.