University of Technology, Sydney

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31005 Advanced Data Analytics

Requisite(s): ((31040 Data Mining and Knowledge Discovery OR 31250 Introduction to Data Analytics) AND 31251 Data Structures and Algorithms)
Recommended studies: knowledge of database technologies



Data analytics is an exciting new field combining databases, artificial intelligence, machine learning and visualisation among others. It is applied in many fields of business, industry and science to discover new information and knowledge. At the heart of data analytics are the knowledge discovery algorithms. This subject builds on previous data analytics subjects to give an understanding of how both basic and more powerful algorithms work. It takes a research-inspired approach so that students learn to apply state-of-the-art algorithms to their professional practice. It also introduces data analytics approaches for specific domains such as social network analysis and text mining.

Typical availability

Spring session, City campus

Detailed subject description.

Fee information

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Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.