Type of institution: University/Higher Education Institution
Level: Postgraduate
CRICOS: 00126G

The Master of Data Science gives you the knowledge and skills to understand and apply appropriate analytical methodologies to transform the way an organisation achieves its objectives, to deal effectively with large data-management tasks, to master the statistical and machine-learning foundations on which data analytics is built, and to evaluate and communicate the effectiveness of new technologies.As the rise of data science is a global phenomenon, the course prepares you for an international career. You will gain a detailed knowledge of contemporary data management and analysis technologies, including those for data collection and storage, visualisation, internet-based applications, and software project management.You will also acquire essential skills in high performance computing.As well as undertaking advanced units in computing and statistics, you can choose from a range of units from diverse fields and understand how to apply your data science knowledge and skills across interdisciplinary domains.The course is designed with the current and future needs of industry in mind and is ideal for graduates with a background in engineering and IT or students from other areas who wish to pursue a career in this exciting field.

Subjects

  • Problem Solving and Programming, Relational Database Management Systems, Computer Analysis and Visualisation, Statistics for Science, Economic and Business Statistics, Analysis of Experiments, Analysis of Observations

Standard entry requirements

To be considered for admission to this course an applicant must have—(a) a bachelor's degree, or an equivalent qualification, as recognised by UWA;and(b) the equivalent of a UWA weighted average mark of at least 65 per cent;and(c) completed ATAR Mathematics Applications, or equivalent, as recognised by UWA.

Study information

CampusFeesEntryMid year intakeAttendance
Crawley Domestic: $59,400
International: $87,600
No
  • Full-time : 2 years
  • Part-time : 2 years

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