Information Systems Engineering, Master of Science

Become a technical leader that guides and manages the development of large and complex intelligent systems-of-systems. Gain deep technical skills through courses designed and taught by senior executive engineers and extraordinary research faculty. As a graduate, you will be fully equipped to take on leadership positions in any organization, making strategic and well-informed technical decisions. These positions include Technology Manager, Chief Engineer, Lead Data Architect, Principal Intelligent Systems Designer, Internet of Things (IoT) Architect, and more.

Data Architect Focus Area

Develop your skills to become a lead data architect who ensures that insights produced by advanced information systems are accurate and defensible. Two general categories of courses under this focus area are:

• Data Analytics: Architect data analytics pipelines to provide maximal insight into information while maintaining the integrity of both the stored data and the results.
• Data Engineering: Engineer large data systems to enable sensemaking and decision support using modern AI techniques.

Intelligent Systems Focus Area

Develop your skills to become an intelligent systems designer of multi-faceted and agile intelligent systems that utilize innovative technologies and techniques. Two general categories of courses under this focus area are:

• Human-Centered Engineering: Develop collaborative human-machine teams to gain insights from information, to assist in high-level decision making based on synthesizing low-level data, and to achieve goals while maintaining safety and reliability even under adversarial conditions
• Intelligent Systems Engineering: Assure the performance and accuracy of high-stakes and time-critical systems that are complicated by the unpredictability of intelligent components.

Internet of Things (IoT) Focus Area

Develop your skills to become an architect that designs, builds, and secures modern IoT enterprise systems whose foundations are built upon cyber systems. Two general categories of courses under this focus area are:

• Cybersecurity: Master the art of securing your system-of-systems infrastructure in highly-connected and vulnerable cyber ecosystems.
• Smart Systems: Learn the principles of employing the internet of things to achieve “smart” enterprise capabilities.

Technical Management Focus Area

Hone your talents to become a technical manager of complex system-of-systems programs, develop technical depth to grasp the complexities of intelligent and information systems and acquire skills to manage their development lifecycle, and learn methods for informed and data-driven decision support. Two general categories of courses under this focus area are:

• Enterprise Engineering: Manage the engineering lifecycle of real-world intelligent system-of-systems.
• Program Management: Manage complex and dynamic systems engineering projects.

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 college math (2 semesters or 3 quarters) which must include at least one semester of Calculus;

2. One semester/term of Java or Python;

3. One semester/term of Data Structures is conditionally required for those students seeking to take selected courses from Computer Science and Cybersecurity that require Data Structures.

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. Applicants may submit a detailed resume if they would like their academic and professional background to be considered.

Program Requirements

Ten courses must be completed within five years. Students are required to choose a focus area to follow. The curriculum consists of three foundation courses and five courses from the Information Systems Engineering program. At least three courses must be from the same focus area [two of the three must be EN.635.xxx, and at least one of the three must be 700-level in the same focus area]. Up to two electives may be selected from other programs. Course selections outside of the lists below are subject to advisor approval. Transfer courses will be considered electives. Transfer courses must meet all general Engineering for Professionals requirements for transfer, must be directly applicable to Information Systems Engineering, 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. 

Graduate students who are not pursuing a master’s degree in Information Systems Engineering 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 Courses (or approved equivalent) 1		Credits
EN.625.108 & EN.625.109	Calculus I and Calculus II	4
or EN.605.156	Calculus for Engineers
EN.605.201	Introduction to Programming Using Java	3
or EN.605.206	Introduction to Programming Using Python
EN.605.203	Discrete Mathematics	3

¹

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

²

One semester/term of Data Structures is conditionally required for those students seeking to take selected courses from Computer Science and Cybersecurity that require Data Structures.

Core Courses 

Course List

Code	Title	Credits
Core Courses 3		Credits
Students working toward a master’s degree in Information Systems Engineering are required to take the following three core courses before taking any other courses:
EN.635.601	Foundations of Information Systems Engineering	3
EN.635.627	Intelligent Decision Support Systems	3
EN.635.631	Foundations of Data Analytics	3

³

One or more core 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 core courses with the same number of other graduate courses and may take these courses after all remaining core course requirements have been satisfied.

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 [two of the three courses must be EN.635.xxx]. 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.

Focus Areas

Data Architect

Intelligent Systems

Internet of Things

Technical Management

Data ARchitect

Course List

Code	Title	Credits
Data Analytics Group
EN.635.632	Engineering Data Intensive Systems	3
EN.635.683	E-Business: Models, Architecture, Technologies, and Infrastructure	3
EN.635.782	Ethics in Intelligent Systems	3
EN.605.621	Foundations of Algorithms	3
EN.605.631	Statistical Methods for Computer Science	3
EN.605.632	Graph Analytics	3
EN.605.635	Cloud Computing	3
EN.605.649	Principles and Methods in Machine Learning	3
EN.605.662	Data Visualization	3
EN.605.746	Advanced Machine Learning	3
EN.625.603	Statistical Methods and Data Analysis	3
EN.625.692	Probabilistic Graphical Models	3
EN.625.695	Time Series Analysis	3
EN.625.721	Probability and Stochastic Processes I	3
EN.625.722	Probability and Stochastic Processes II	3
EN.625.725	Theory Of Statistics I	3
EN.625.726	Theory of Statistics II	3
EN.625.740	Data Mining	3
EN.625.741	Game Theory	3
EN.685.648	Data Science	3
Data Engineering Group
EN.635.632	Engineering Data Intensive Systems	3
EN.635.683	E-Business: Models, Architecture, Technologies, and Infrastructure	3
EN.605.616	Multiprocessor Architecture & Programming	3
EN.605.621	Foundations of Algorithms	3
EN.605.641	Principles of Database Systems	3
EN.605.643	Linked Data and the Semantic Web	3
EN.605.644	XML Design Paradigms	3
EN.605.649	Principles and Methods in Machine Learning	3
EN.605.741	Large-Scale Database Systems	3
EN.605.744	Information Retrieval	3
EN.605.788	Big Data Processing Using Hadoop	3
EN.685.652	Data Engineering Principles and Practice	3

Intelligent Systems

Course List

Code	Title	Credits
Human-Centered Engineering Group
EN.635.661	Principles of Human Computer Interaction	3
EN.635.682	Website Development	3
EN.635.782	Ethics in Intelligent Systems	3
EN.525.747	Speech Processing	3
EN.525.786	Human Robotics Interaction	3
EN.535.691	Haptic Interface Design	3
EN.535.782	Haptic Applications	3
EN.605.646	Natural Language Processing	3
EN.605.662	Data Visualization	3
EN.645.650	Foundations of Human Systems Engineering	3
EN.645.651	Integrating Humans and Technology	3
EN.645.755	Methods in Human-System Performance Measurement and Analysis	3
Intelligent Systems Engineering Group		Credits
EN.635.603	AI/ML Ops	3
EN.635.661	Principles of Human Computer Interaction	3
EN.635.683	E-Business: Models, Architecture, Technologies, and Infrastructure	3
EN.635.782	Ethics in Intelligent Systems	3
EN.525.645	Modern Navigation Systems	3
EN.525.661	UAV Systems and Control	3
EN.525.733	Deep Learning for Computer Vision	3
EN.525.786	Human Robotics Interaction	3
EN.535.782	Haptic Applications	3
EN.585.783	Introduction to Brain-Computer Interfaces	3
EN.605.613	Introduction to Robotics	3
EN.605.621	Foundations of Algorithms	3
EN.605.645	Artificial Intelligence	3
EN.605.649	Principles and Methods in Machine Learning	3
EN.695.634	Intelligent Vehicles: Cybersecurity for Connected and Autonomous Vehicles	3
EN.695.715	Assured Autonomy	3

Internet of Things

Course List

Code	Title	Credits
Cybersecurity Group
EN.635.673	Protecting Critical Infrastructure Against Cyber Attacks	3
EN.635.676	Cybersecurity in Information Systems	3
EN.635.775	Cyber Operations, Risk, and Compliance	3
EN.605.731	Survey of Cloud Computing Security	3
EN.695.601	Foundations of Information Assurance	3
EN.695.611	Embedded Computer Systems-Vulnerabilities, Intrusions, and Protection Mechanisms	3
EN.695.612	Operating Systems Security	3
EN.695.614	Security Engineering	3
EN.695.615	Cyber Physical Systems Security	3
EN.695.621	Public Key Infrastructure and Managing E-Security	3
EN.695.622	Web Security	3
EN.695.642	Intrusion Detection	3
EN.695.712	Authentication Technologies	3
EN.695.721	Network Security	3
EN.695.744	Reverse Engineering and Vulnerability Analysis	3
Smart Systems Group
EN.635.611	Principles of Network Engineering	3
EN.635.673	Protecting Critical Infrastructure Against Cyber Attacks	3
EN.635.676	Cybersecurity in Information Systems	3
EN.635.711	Advanced Topics in Network Engineering	3
EN.635.775	Cyber Operations, Risk, and Compliance	3
EN.635.782	Ethics in Intelligent Systems	3
EN.525.678	Next Generation Mobile Networks and Security with 5G	3
EN.605.671	Principles of Data Communications Networks	3
EN.605.674	Network Programming	3
EN.605.677	Internetworking with TCP/IP I	3
EN.605.731	Survey of Cloud Computing Security	3
EN.605.771	Wired and Wireless Local and Metropolitan Area Networks	3
EN.605.777	Internetworking with TCP/IP II	3
EN.605.779	Network Design and Performance Analysis	3
EN.695.601	Foundations of Information Assurance	3
EN.695.611	Embedded Computer Systems-Vulnerabilities, Intrusions, and Protection Mechanisms	3
EN.695.612	Operating Systems Security	3
EN.695.614	Security Engineering	3
EN.695.615	Cyber Physical Systems Security	3
EN.695.621	Public Key Infrastructure and Managing E-Security	3
EN.695.622	Web Security	3
EN.695.624	Introduction to Internet of Things Security and Privacy	3
EN.695.634	Intelligent Vehicles: Cybersecurity for Connected and Autonomous Vehicles	3
EN.695.642	Intrusion Detection	3
EN.695.712	Authentication Technologies	3
EN.695.715	Assured Autonomy	3
EN.695.721	Network Security	3
EN.695.744	Reverse Engineering and Vulnerability Analysis	3

Technical Management

Course List

Code	Title	Credits
Enterprise Engineering Group
EN.635.603	AI/ML Ops	3
EN.635.775	Cyber Operations, Risk, and Compliance	3
EN.635.782	Ethics in Intelligent Systems	3
EN.605.607	Agile Software Development Methods	3
EN.605.609	DevOps and Secure Software Development	3
EN.605.616	Multiprocessor Architecture & Programming	3
EN.605.621	Foundations of Algorithms	3
EN.605.702	Cloud-native Architecture and Microservices	3
EN.605.705	Software Safety	3
EN.605.716	Modeling and Simulation of Complex Systems	3
EN.605.729	Formal Methods	3
EN.605.789	Service API Design and Development	3
EN.645.753	Enterprise Systems Engineering	3
EN.645.757	Foundations of Modeling and Simulation in Systems Engineering	3
EN.645.761	Systems Architecting	3
EN.645.764	Software Systems Engineering	3
EN.645.767	System Conceptual Design	3
EN.645.768	System Design & Integration	3
EN.645.769	System Test & Evaluation	3
EN.695.741	Information Assurance Analysis	3
EN.695.791	Information Assurance Architectures and Technologies	3
Program Management Group
EN.635.622	Intelligent Decision Engineering	3
EN.635.674	AI for Entrepreneurs	3
EN.635.775	Cyber Operations, Risk, and Compliance	3
EN.635.782	Ethics in Intelligent Systems	3
EN.635.792	Entrepreneurship, Innovation, and Corporate Success	3
EN.595.660	Planning and Managing Projects	3
EN.605.607	Agile Software Development Methods	3
EN.605.608	Software Project Management	3
EN.605.621	Foundations of Algorithms	3
EN.605.708	Tools and Techniques of Software Project Management	3
EN.645.667	Management of Systems Projects	3
EN.645.742	Management of Complex Systems	3

Independent Study and Special Topics

Course List

Code	Title	Credits
Courses		Credits
EN.635.795	Information Systems Engineering Capstone Project	3
EN.635.801	Independent Study in Information Systems Engineering I	3

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