Graduate · Data Science
Master of Data Science
University of Wollongong, Wollongong, NSW, Australia
About this program
Housed in the School of Computing and Information Technology, this is a conversion-friendly degree: people with a quantitative but non-CS background (maths, engineering, science, even some commerce graduates) can enter through the foundation stream. Coursework runs through statistics, machine learning, big data systems, and data visualisation, with more weight put on applied projects using real or realistic datasets than on pure theory.
UOW markets this partly on Wollongong's growing data-analytics employer base and partly on affordability relative to Sydney's data science masters programs, a genuine consideration for the international cohort making up a large share of enrolments.
Cost & duration
English test scores
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Course structure
4 terms of coursework
- Foundation session (background-dependent): Programming for Data Science, Statistics for Data Science
- Core: Machine Learning, Big Data Management, Data Visualisation, Data Mining
- Electives: deep learning, natural language processing, business analytics (varies by session offering)
- Capstone: applied data science project, industry or research-based, final session
Admissions
Bachelor's degree in a related discipline
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