Curriculum: Data-Driven Cybersecurity Certificate

This course introduces students to the field of cybersecurity by discussing the evolution of information security into cybersecurity, cybersecurity theory, and the relationship of cybersecurity to nations, businesses, society, and people. Students will be exposed to multiple cybersecurity technologies, processes, and procedures, learn how to analyze the threats, vulnerabilities and risks present in these environments, and develop appropriate strategies to mitigate potential cybersecurity problems.

In today enterprise networks the challenge of a cybersecurity analyst is not lack of data for analysis, but too many data from too many network sources. Visualizing and analyzing vast amount of data from cyber space is a critical skill for protecting data network. This course explores different types of network data from text-based log files to complex and proprietary binaries. Students will have hands-on practice using scripting languages and software tools to visualize and process network data and identify threats and malicious activities on networks. This course intends to convert cybersecurity challenges into data science challenges that can be solved using modern data science techniques such as modern data visualization and machine learning programming libraries.

This course is designed to provide students with the advanced concepts needed to establish network security strategies to ensure adequate protection for the organization's environment and yet provide accessibility for its community.

This course introduces machine learning and data mining techniques. The course focuses on using applied methods and software tools to discover hidden patterns or identify anomalies in the data generated in modern IT networks.