Cybersecurity, Master of Science

Admission Requirements

Applicants (degree seeking and special student) must meet the general requirements for admission to graduate study. The applicant’s prior education must include the following courses:

1. One year of Calculus (2 semesters or 3 quarters);
2. One semester/term of advanced math (Discrete Math is strongly preferred but Linear Algebra or Differential Equations will be accepted);
3. One semester/term of Java (C++ will be accepted but the student must be knowledgeable in Java);
4. One semester/term of Data Structures;
5. One semester/term of Computer Organization (e.g., assembly language and machine organization).

Applicants whose prior education does not include the courses listed above may still enroll under provisional status, followed by full admission status once they have completed the missing courses. Missing courses may be completed with Johns Hopkins Engineering (all courses are available) or at another regionally accredited institution. Admitted students typically have earned a grade point average of at least 3.0 on a 4.0 scale (B or above) in the latter half of their undergraduate studies. Official transcripts from all college studies must be submitted.  When reviewing an application, the candidate’s academic and professional background will be considered.

Program Requirements

Ten courses (30 credits) must be completed within five years. Students are required to choose a focus area to follow.  Three core courses (9 credits) must be completed. At least five additional courses (15 credits) must be from the Cybersecurity program, which can include selected courses from other programs as indicated in the course lists below. At least three of the five Cybersecurity program courses must be from the chosen focus area. At least three courses (9 credits) must be at the 700-level, and at least one 700-level course (3 credits) must be in the chosen focus area. Up to two electives may be selected from courses outside the Cybersecurity program with advisor approval. Transfer courses will be considered electives. Transfer courses must meet all general EP requirements for transfer, must be directly applicable to Cybersecurity, and will be considered on a case-by-case basis. Only one C-range grade (C+, C, or C–) can count toward the master’s degree. Course selections outside of the core and focus area lists below are subject to advisor approval.

Non-degree students in Cybersecurity should consult with their advisor to determine which courses must be successfully completed before 600- or 700-level courses may be taken.

Provisional Courses

Course List

Code	Title	Credits
Undergraduate-level courses offered to complete provisional requirements. 1		Credits
EN.625.108 & EN.625.109	Calculus I and Calculus II	8
or EN.605.156	Calculus for Engineers
EN.605.201	Introduction to Programming Using Java	3
or EN.605.207	Introduction to Programming Using C++
EN.605.202	Data Structures	3
EN.605.203	Discrete Mathematics	3
or EN.625.252	Linear Algebra and Its Applications
or EN.625.251	Introduction to Ordinary and Partial Differential Equations
EN.605.204	Computer Organization	3

¹

Applicants whose prior education does not include the courses listed under Admission Requirements may still enroll under provisional status, followed by full admission once they have completed the missing courses. All courses are available at Johns Hopkins Engineering and can be found above under the Undergraduate Courses heading. These courses do not count toward the degree or certificate requirements.

Core Courses

Course List

Code	Title	Credits
Core Courses 2		Credits
EN.605.621	Foundations of Algorithms 3	3
EN.695.601	Foundations of Information Assurance 3	3
EN.695.641	Cryptology 4	3

²

One or more foundation courses can be waived by the student’s advisor if a student has received an A or B in equivalent graduate courses. In this case, the student may replace the waived foundation courses with the same number of other graduate courses and may take these courses after all remaining foundation course requirements have been satisfied.

³

EN.605.621 Foundations of Algorithms and EN.695.601 Foundations of Information Assurance should be taken before any other courses.

⁴

EN.695.641 Cryptology should be taken after the other two foundation courses and before any other courses in the Analysis focus area.

Focus Areas

Select one of the following Focus Areas:

Analysis

Assured Autonomy

Cyber Artificial Intelligence

Cyber Operations

Networks

Space Cyber

Systems

Courses by Focus Area

The focus areas offered represent related groups of courses that are relevant for students with interests in the selected areas. Students are required to choose a focus area to follow and to take at least three courses from the selected focus area, including at least one 700-level course. The focus areas are presented as an aid to students in planning their course selections and are only applicable to students seeking a master’s degree. They do not appear as official designations on a student’s transcript or diploma.

Analysis

Course List

Code	Title	Credits
Courses		Credits
EN.695.642	Intrusion Detection	3
EN.695.643	Introduction to Ethical Hacking	3
EN.695.644	Computer Forensics	3
EN.695.646	Engineering Runtime Malware Detection	3
EN.695.647	Cyber Threat Hunting and Intelligence	3
EN.695.741	Information Assurance Analysis	3
EN.695.742	Digital Forensics Technologies and Techniques	3
EN.695.744	Reverse Engineering and Vulnerability Analysis	3
EN.695.749	Cyber Exercise	3
EN.605.728	Quantum Computation	3

Assured Autonomy

Course List

Code	Title	Credits
Courses		Credits
EN.695.634	Intelligent Vehicles: Cybersecurity for Connected and Autonomous Vehicles	3
EN.695.637	Introduction to Assured AI and Autonomy	3
EN.695.715	Assured Autonomy	3
EN.695.737	AI for Assured Autonomy	3
EN.605.613	Introduction to Robotics	3
EN.605.624	Logic: Systems, Semantics, and Models	3
EN.605.636	Autonomic Computing	3
EN.605.649	Principles and Methods in Machine Learning	3
EN.605.746	Advanced Machine Learning	3

Cyber Artificial Intelligence

Course List

Code	Title	Credits
EN.695.631	AI for Cybersecurity	3
EN.695.634	Intelligent Vehicles: Cybersecurity for Connected and Autonomous Vehicles	3
EN.695.637	Introduction to Assured AI and Autonomy	3
EN.695.715	Assured Autonomy	3
EN.695.737	AI for Assured Autonomy	3
EN.695.738	Generative AI for Cybersecurity	3
EN.695.739	Generative AI and Synthetic Threats	3
EN.605.613	Introduction to Robotics	3
EN.605.624	Logic: Systems, Semantics, and Models	3
EN.605.636	Autonomic Computing	3
EN.605.649	Principles and Methods in Machine Learning	3
EN.605.746	Advanced Machine Learning	3
EN.635.603	AI/ML Ops	3

Cyber Operations

Course List

Code	Title	Credits
Courses		Courses
EN.695.615	Cyber Physical Systems Security	3
EN.695.622	Web Security	3
EN.695.643	Introduction to Ethical Hacking	3
EN.695.741	Information Assurance Analysis	3
EN.695.742	Digital Forensics Technologies and Techniques	3
EN.605.731	Survey of Cloud Computing Security	3
EN.635.775	Cyber Operations, Risk, and Compliance	3

Networks

Course List

Code	Title	Credits
Courses		Credits
EN.695.621	Public Key Infrastructure and Managing E-Security	3
EN.695.622	Web Security	3
EN.695.623	Information Security and Privacy	3
EN.695.624	Introduction to Internet of Things Security and Privacy	3
EN.695.721	Network Security	3
EN.695.722	Covert Channels	3
EN.695.723	Advanced Web Security	3
EN.695.791	Information Assurance Architectures and Technologies	3
EN.605.671	Principles of Data Communications Networks	3
EN.605.674	Network Programming	3
EN.605.675	Protocol Design	3
EN.605.731	Survey of Cloud Computing Security	3
EN.605.771	Wired and Wireless Local and Metropolitan Area Networks	3
EN.635.611	Principles of Network Engineering	3
EN.635.673	Protecting Critical Infrastructure Against Cyber Attacks	3
EN.635.711	Advanced Topics in Network Engineering	3

Space cyber

Course List

Code	Title	Credits
Courses		Credits
EN.695.642	Intrusion Detection	3
EN.695.644	Computer Forensics	3
EN.695.721	Network Security	3
EN.695.741	Information Assurance Analysis	3
EN.695.742	Digital Forensics Technologies and Techniques	3
EN.695.744	Reverse Engineering and Vulnerability Analysis	3
EN.695.791	Information Assurance Architectures and Technologies	3
EN.605.674	Network Programming	3
EN.605.716	Modeling and Simulation of Complex Systems	3
EN.605.728	Quantum Computation	3
EN.675.641	Space Systems Cybersecurity	3

SYSTEMS

Course List

Code	Title	Credits
Courses		Credits
EN.695.611	Embedded Computer Systems-Vulnerabilities, Intrusions, and Protection Mechanisms	3
EN.695.612	Operating Systems Security	3
EN.695.613	Securing Industrial Control Systems	3
EN.695.614	Security Engineering	3
EN.695.615	Cyber Physical Systems Security	3
EN.695.617	Zero Trust Principles and Practice	3
EN.695.711	Java Security	3
EN.695.712	Authentication Technologies	3
EN.695.715	Assured Autonomy	3
EN.605.601	Foundations of Software Engineering	3
EN.605.609	DevOps and Secure Software Development	3
EN.605.612	Operating Systems	3
EN.605.704	Object-Oriented Analysis and Design	3
EN.605.715	Software Development for Real-Time Embedded Systems	3
EN.605.716	Modeling and Simulation of Complex Systems	3
EN.605.729	Formal Methods	3
EN.635.673	Protecting Critical Infrastructure Against Cyber Attacks	3
EN.635.676	Cybersecurity in Information Systems	3

Independent Study

Course List

Code	Title	Credits
Courses		Credits
EN.695.795	Capstone Project in Cybersecurity	3
EN.695.801	Independent Study in Cybersecurity I	3
EN.695.802	Independent Study in Cybersecurity II	3

Please refer to the course schedule published each term for exact dates, times, locations, fees, and instructors.