Cybersecurity (MS) with an Emphasis in Artificial Intelligence

Upon completion of the program, students will be able to:

• Defend Networks and Systems: Develop and implement cybersecurity techniques to effectively defend against cyber threats and attacks.
• Analyze Cyber Attacks: Conduct detailed analyses of cyber attacks to understand methods and implications.
• Perform Forensic Evaluations: Apply forensic techniques to investigate and resolve cybersecurity incidents.
• Apply AI and Machine Learning: Utilize AI and Machine Learning, including Python and Deep Learning, to address cybersecurity challenges.
• Understand Social Engineering: Recognize and counteract social engineering techniques used in cyber threats.
• Enhance Critical Infrastructure Protection: Implement strategies to protect critical infrastructure from cyber threats.
• Combat Fraud and Theft: Identify and prevent fraud and theft within digital environments.
• Conduct Digital Forensics: Execute digital forensic processes to gather and analyze evidence in cybersecurity investigations.
• Develop Threat Detection Strategies: Design and implement effective threat detection systems to safeguard digital assets.

This comprehensive program equips students with the skills and knowledge necessary to excel in the evolving field of cybersecurity with a strong foundation in artificial intelligence and machine learning.

Education at the graduate level builds on undergraduate knowledge, fostering advanced skills, theoretical understanding, and critical thinking in cybersecurity. This program focuses on mastering cybersecurity techniques to protect networks and systems, analyze attacks, and conduct forensic evaluations.

To enter this degree program, students need an undergraduate degree in Computer Science, Management Information Systems, Information Technology, or a related field, with a foundation in software programming, network management, and systems operations. Professional experience may also be considered. Proficiency in written and oral communication is essential.

The Master of Science (MS) in Cybersecurity with an emphasis on Artificial Intelligence prepares students for roles in both public and private sectors, focusing on the analysis, management, and protection of critical systems, information, networks, and infrastructures.

Students will gain expertise in various areas including social engineering techniques, network defenses, malware methods, critical infrastructure protection, fraud prevention, digital forensics, and threat detection.

The program also covers Artificial Intelligence (AI) and Machine Learning, with practical applications in cybersecurity. Students will use Python to address AI-related challenges and explore Deep Learning to support diverse disciplines.

Please note, students cannot pursue dual majors due to the program’s technical demands, but may apply for sequential degrees provided they do not overlap core courses.