Master of Data Science - MDataSc

Summary

Expand your expertise with the Master of Data Science, and apply a fusion of mathematics, computer science, statistics, artificial intelligence, and machine learning to solve real-world problems.

Interpret the rapidly changing world

Fifteen years ago, the role of data scientist was unheard of. Today, it’s an established role in business and government departments around the world. The nature of the role is constantly shifting as data sources, software tools, and techniques change. Equip yourself with the skills and knowledge to move and adapt to these changes.

Our graduates leave with an advanced understanding of techniques in data science, including machine learning and statistical methods and their uses in the world of big data. You will be able to critically analyse data requirements and sources in a variety of areas of application from the sciences, humanities, and social sciences to business and government.

Degree structure

The 240-point MDataSc comprises two parts.

In Part 1 (60 points), you will take courses that address fundamental techniques of data science, statistical methods, and machine learning.

Part 2 (180 points) includes a compulsory core of statistical methods and computational techniques; a research component made up of a research preparation course and an individual research project; and a five-week workplace practicum.

Course assessments include a combination of assignments, group work projects, oral presentations, a written research project report, term tests, written examinations, workplace reports, and self-reflections.