Curriculum: Data-Driven Cybersecurity Certificate

Next Term Application Deadline

05.01.2025

Total Credits

Next Term Starts

05.12.2025

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Program requires the completion of an associate degree program. Have you earned an associate degree?*
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Program requires the completion of a BSN degree program. Have you earned a BSN degree?*
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*This program is now enrolling for Summer 2025.

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Curriculum at a Glance

Students graduating from this certificate program will be able to merge cybersecurity concepts and data analytic solutions. Students will receive a dedicated graduate certificate upon successful completion of the program.

For students interested in IT: All twelve graduate credits earned in the certificate are transferable into the Master of Science in Information Technology (MS IT) and Ph.D. in Information Technology degrees.

CURRICULUM AT A GLANCE

Required Courses

Course	Title / Description	Credit
IT7020C	Principles of Cybersecurity Course: IT7020C Credit: 3 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.	3
IT7075C	Data Driven Cybersecurity Course: IT7075C Credit: 3 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.	3
IT7021C	Enterprise Security and Forensics Course: IT7021C Credit: 3 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.	3
IT7071C	Machine Learning and Data Mining for IT Course: IT7071C Credit: 3 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.	3