A 10-course graduate program designed to develop strategic cybersecurity leaders with expertise in governance, analytics, AI-driven security, and digital forensics.
10
Courses
36
Credit Hours
M.S.
Degree
This course provides a foundational understanding of cybersecurity systems, governance models, and policy frameworks that define the cybersecurity landscape. Students will examine how governmental and organizational cybersecurity policies influence infrastructure security, data protection, and incident response strategies. The course emphasizes systems analysis, compliance frameworks such as NIST, ISO 27001, and HIPAA, and the use of policy-driven approaches to secure enterprise systems.
This course focuses on the application of data analytics and visualization techniques within the field of cybersecurity. Students will learn how to collect, analyze, and interpret cybersecurity data using statistical tools and programming languages. Emphasis is placed on identifying threats, visualizing attack patterns, and leveraging analytics for predictive security modeling and decision-making.
This course provides an applied data analytics approach to financial management within cybersecurity operations. Students will learn quantitative methods for cybersecurity budgeting, cost-benefit analysis, and risk forecasting. Using analytical tools such as Python, R, and Power BI, students will model financial risks, estimate losses from cyber incidents, and develop strategies for optimizing cybersecurity investments and resources.
This course introduces the core principles of cybersecurity and information assurance, covering the concepts, frameworks, and tools used to protect digital assets and information systems. Students will explore threat landscapes, cybersecurity architectures, cryptographic methods, and access control models while learning to assess vulnerabilities and apply mitigation strategies. Emphasis is placed on the CIA Triad (Confidentiality, Integrity, Availability), defense-in-depth strategies, and foundational practices in information security management.
This course focuses on the design, implementation, and management of enterprise-level cyber risk and governance frameworks. Students will learn to identify, quantify, and mitigate cybersecurity risks using industry standards and data-driven methods. The course explores NIST Risk Management Framework (RMF), ISO 31000, COSO, and FAIR models while emphasizing integration of cybersecurity governance into organizational strategy and compliance programs.
This course provides an in-depth exploration of network security architecture and secure cloud infrastructure design. Students will learn the principles and technologies used to safeguard network systems, including firewalls, intrusion detection systems (IDS), and secure VPN configurations. The course also covers cloud computing security, virtualization, and hybrid infrastructure management, integrating industry standards and practical labs in network defense and cloud service protection.
This course explores the legal, ethical, and regulatory dimensions of cybersecurity in the context of global digital operations. Students will examine international cyber laws, privacy regulations, intellectual property protections, and compliance frameworks including HIPAA, GDPR, PCI-DSS, and CCPA. The course also discusses organizational policy development, governance, and enforcement of cybersecurity practices across jurisdictions.
This course examines the integration of artificial intelligence (AI) and machine learning (ML) techniques within cybersecurity threat detection, prevention, and intelligence operations. Students will explore AI-based security analytics, anomaly detection, natural language processing for threat analysis, and automation of security response workflows. Through hands-on labs, students will develop and evaluate models for predictive threat intelligence, adversarial AI, and automated security orchestration.
This course provides a comprehensive overview of digital forensics principles and incident response methodologies. Students will learn how to identify, collect, preserve, and analyze digital evidence from a variety of systems and networks. Through practical labs and case studies, learners will develop hands-on skills in forensic imaging, evidence documentation, malware analysis, and post-incident reporting using industry-standard tools.
The Capstone Project in Cybersecurity Strategy provides students with a culminating experience integrating technical, analytical, and managerial competencies. Students will design and execute a cybersecurity strategy or research project that addresses a real-world security challenge. This applied project requires learners to synthesize their knowledge of governance, risk management, threat intelligence, and emerging technologies into a comprehensive, evidence-based solution aligned with industry's best practices.
Applications for the M.S. in Cybersecurity Management are now open. Take the next step in your cybersecurity career.
