The Master of Data Science will further develop your technical and analytical skills needed to manage and interpret useful insights from massive data sets.

This qualification complements the following multi-disciplinary areas:

• Computer science
• Information technology
• Information systems
• Statistics
• Mathematics
• Engineering or a program with substantial quantitative competencies

Your coursework will also include a project-based assessment freeing you up to focus on what you are passionate about.

Professional recognition

The Master of Data Science is accredited by Australia Computer Society at the level of professional and therefore recognised internationally under the Seoul Accord.

Course structure

The course consists of core units, thesis research units, specialist elective units and general elective e core units of this program will allow you to explore a range of data science concepts.

Research units will allow you to complete an individual research thesis in a chosen area under the guidance of an academic supervisor. The thesis can be carried out within a university, industry, or government setting. Specialist electives will grow your knowledge in areas such as advanced research methods, decision making and biostatistics.

General elective units will allow you to study complimentary courses or explore other areas of interests.

The course stresses both the importance of theory and the application of theory in practice through projects and practical exercises.

You can study a Master of Data Science online or on campus. Access to the internet is required for distance learning, with access to high speed broadband highly recommended.

A candidate must successfully complete units totalling 160 credit points (cp) as detailed below. All units are valued at 10 credit points unless indicated.