41180 Data Analytics in Cybersecurity

6cp; 3hpw
Requisite(s): 48730 Cybersecurity OR 41181 Information Security and Management OR 41182 System Security OR 41084 Fundamentals Studio A
Fields of practice: Cybersecurity and Privacy program

Undergraduate

Description

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. Data Analytics for Cybersecurity introduces learners to the machine learning technologies for cybersecurity and the most common approach to standard process for data analytics. This subejct offers practice in the technologies of data analytics in cybersecurity, identifying security risks, threats and vulnerabilities to the corporate computers and networks.

Typical availability

Autumn session, City campus

Detailed subject description.

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.