Credit Hours: 3

Prerequisites: CYBR 2700 and INFO 2410 and University Advanced Standing; (INFO 3130 and INFO 3410 recommended

Introduces students to the concept of data analytics as applied to cyber security. Includes collection, aggregation, data mining, and analysis of various data sources. Utilizes data analytics tools that correlate data in order to identify security events that may go undiscovered by traditional detection and log analysis methods.