Master of Data Science

Course Details

The program is professional in nature and industry oriented. Students will learn to understand and explore data using applied problem solving and computer practice. All learning will be underpinned by the required theoretical knowledge. The core courses cover foundational areas, such as data wrangling and visualisation, databases, predictive analytics, big data, and statistics. Students will complete a specialisation in either Computational Intelligence or Health Data Analysis. The Computational Intelligence specialisation is aligned to a computer science approach to data science, which includes further studies in data mining and machine learning. The Health Data Analysis specialisation focuses on medical statistics, biostatistics, and related areas, while providing transferrable data analysis skills also applicable to other domains.

Qualification: Master Degree (By Coursework)

Course structure: Students are required to complete a total of, but no more than, 120 units, comprised of the following: 40 units of Core courses, 10 unit Program Directed course, One 60 unit Specialisation, 10 unit Elective