Cybersecurity Master's Program Online

Cybersecurity Program Overview

As part of this U.S News & World Report #1-ranked cybersecurity online, part-time program, you will develop the skills needed to protect the confidentiality, availability, and integrity of data, preserve and restore systems, and develop risk management skills to anticipate and avoid cyber threats. 

Access to our state-of-the-art computing facilities and technologically advanced virtual classrooms to ensure thoughtful and insightful engagement with instructors and classmates. Take courses built for our modern world, offering the latest techniques in cybersecurity, including Security Engineering, Applied Machine Learning, and Reverse Engineering and Vulnerability Analysis. We offer a unique opportunity to complete a Capstone project or conduct research. Take a look at some innovative research projects and presentations completed by our students. 

Once part of the EP community, you’ll build your professional network and enhance your knowledge with access to the resources and expertise of Johns Hopkins University and the Applied Physics Laboratory. 

Whether your career is in information security, IT, risk management and compliance, or governance, our Cybersecurity program can help you:

• Increase your marketability by learning cutting-edge industry trends, knowledge, and skills through coursework designed by industry experts.
• Apply skills and knowledge when assessing a corporation’s security risks and formulating technical recommendations in the areas of both hardware and software.
• Demonstrate proficiency in the four major areas of cryptology: encryption, hash functions, signature schemes, and authentication.

Master’s Degree Focus Areas

A focus area must be selected. While required to narrow your study, your focus area will not appear on your degree. 

• Analysis: Gain an understanding of security issues such forensic patterns, intrusion detection rules, ethical hacking techniques, and reverse engineering.
• Assured Autonomy: Focus on the complexities inherent in autonomous systems and the multifaceted and multilayered approaches necessary for the continual assurance of these Learning-Enabled, Cyber Physical Systems (LE-CPSs).
• Cyber Artificial Intelligence (Cyber AI): highlights the integration of artificial intelligence techniques—such as machine learning, neural networks, and natural language processing—into cybersecurity systems to enhance threat detection, response, and prevention. It enables real-time analysis and adaptive defense mechanisms that can identify and counteract sophisticated cyber threats with greater speed and accuracy than traditional methods.
• Cyber Operations: The study of the employment of cyber capabilities where the primary purpose is to achieve objectives in or through cyberspace. Such operations include computer network operations and activities to operate and defend cyber systems.
• Networks: Study the security of clouds, protocols, data communications, covert channels,  wired and wireless networks, and the internet.
• Space Cyber: The study of the employment of cyber capabilities to identify and mitigate cyber threats to the unique aspects of space systems via a comprehensive and unified engineering approach combining open systems architecture, model-based systems engineering (MBSE), and reverse engineering analysis aimed at efforts to operate, protect, and defend space assets and services.
• Systems: Explore the security of computing devices ranging from typical architectures to embedded and real-time systems. Study topics like secure system design, authentication solutions, and application software.

FOCUS AREA REQUIREMENTS