AQF level 7 bachelors qualification in a related discipline or recognised equivalent.
Master of Data Science
ProviderMacquarie UniversityCourse overview
Data underpins how contemporary organisations identify challenges, shape strategy and make decisions, yet Australia faces a significant shortage of people who can work confidently with it. As datasets grow in scale and complexity, the field demands people who can handle diverse data sources, build reliable models and communicate insights clearly – capabilities that have become essential across business, tech, health, finance and government. The interdisciplinary Master of Data Science will build your expertise in computer science, statistics and mathematics, and offer extensive opportunities for practical application. You’ll study within our state-of-the-art computing precinct designed for experimentation and technical development, and refine your skills through an industry internship or supervised research project. With our location in the Connect Macquarie Park Innovation District – home to a dynamic mix of tech-driven organisations such as Domain Holdings, truuth and Orbyte – you’ll make connections with organisations looking for people who can translate complex data into insight that informs decisions.
Entry requirements
Postgraduate and higher courses usually use academic prerequisites, degree equivalence and English-language requirements.
Postgraduate entry
If your current English result is below direct entry, consider the university-recognised English language pathway or ELICOS package; successful completion at the required level can usually satisfy English entry without another English test.
Past Offers
Current-course cases first, supplemented by same-institution scored cases.
Course curriculum
Course structure, credit points and subject sequence
Refer to the institution course handbook.
References
Official course, fees, admissions, English, curriculum and related sources.
