University of Technology Sydney

42896 Advanced Data Analytics for Cybersecurity

Anti-requisite(s): 41180 Data Analytics in Cyber Security


Advanced Data Analytics for Cybersecurity combines big data capabilities with threat intelligence to help detect, analyse and alleviate the insider threats, as well as targeted attacks from external bad actors and persistent cyber threats. It includes a number of IT areas, such as statistical methods for identifying patterns in data and making inferences, and other intelligent technologies that derive cybersecurity issues from data. Advanced Data Analytics for Cybersecurity introduces students to the machine learning technologies for cybersecurity and the most common approach to standard process for data analytics. This subject offers practice in the advanced technologies of data analytics in cybersecurity, identifying security risks, threats and vulnerabilities to the corporate computers and networks.

Detailed subject description.

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