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Master's

Computer Science, Master of Science

Johns Hopkins University Whiting School of Engineering (Engineering for Professionals) 173 courses

About This Program

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: 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 provisional 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. When reviewing an application, the candidate’s academic and professional background will be considered. Applicants whose prior education does not include the courses listed under Admission Requirements may enroll under provisional status, followed by full admission once they have completed the missing provisional courses. All provisional courses are available at Johns Hopkins Engineering. These courses do not count toward the degree or certificate requirements.

Degree Requirements

Artificial Intelligence credits
Bioinformatics credits
Cybersecurity credits
Data Communications and Networking credits
Data Science and Cloud Computing credits
Database Systems and Knowledge Management credits
Enterprise and Web Computing credits
Human-Computer Interation and Visualization credits
Quantum Computing credits
Research credits
Software Engineering credits
Systems credits
Theory credits
Communications and Networking Concentration credits

Courses

Code Course Title Credits
EN.605.613 Introduction to Robotics 3
EN.605.645 Artificial Intelligence 3
EN.605.646 Natural Language Processing 3
EN.605.647 Neural Networks 3
EN.605.649 Principles and Methods in Machine Learning 3
EN.605.740 Machine Learning: Deep Learning 3
EN.605.742 Deep Neural Networks 3
EN.605.743 Advanced Artificial Intelligence 3
EN.605.745 Reasoning Under Uncertainty 3
EN.605.746 Advanced Machine Learning 3
EN.605.747 Evolutionary and Swarm Intelligence 3
EN.635.603 AI/ML Ops 3
EN.635.632 Data Engineering for AI Systems 3
EN.635.782 Ethics in Intelligent Systems 3
EN.695.637 Introduction to Assured AI and Autonomy 3
EN.695.739 Generative AI and Synthetic Threats 3
EN.705.603 Creating AI-Enabled Systems 3
EN.705.615 Artificial Intelligence for Leaders 3
EN.525.670 Machine Learning for Signal Processing 3
EN.525.733 Deep Learning for Computer Vision 3
EN.525.786 Human Robotics Interaction 3

Prerequisite Courses

Code Course Title Credits
EN.605.205 Molecular Biology for Computer Scientists 3

Courses

Code Course Title Credits
EN.605.609 DevOps and Secure Software Development 3
EN.605.636 Autonomic Computing 3
EN.605.731 Survey of Cloud Computing Security 3
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.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.695.615 Cyber Physical Systems Security 3
EN.695.622 Web Security 3
EN.695.624 Introduction to Internet of Things Security and Privacy 3
EN.695.641 Cryptology 3
EN.695.642 Intrusion Detection 3
EN.695.643 Introduction to Ethical Hacking 3
EN.695.711 Java Security 3
EN.695.721 Network Security 3
EN.695.723 Advanced Web Security 3
EN.695.739 Generative AI and Synthetic Threats 3
EN.695.742 Digital Forensics Technologies and Techniques 3
EN.695.744 Reverse Engineering and Vulnerability Analysis 3

Prerequisite

Code Course Title Credits
EN.525.202 Signals and Systems 3

Electives

Select seven of the following: 11

Code Course Title Credits
EN.605.671 Principles of Data Communications Networks 3
EN.605.674 Network Programming 3
EN.605.675 Protocol Design 3
EN.605.771 Wired and Wireless Local and Metropolitan Area Networks 3
EN.695.601 Foundations of Information Assurance 3
EN.695.622 Web Security 3
EN.695.721 Network Security 3
EN.525.608 Next Generation Telecommunications 3
EN.525.614 Probability & Stochastic Processes for Engineers 3
EN.525.616 Communication Systems Engineering 3
EN.525.618 Antenna Systems 3
EN.525.620 Electromagnetic Transmission Systems 3
EN.525.638 Introduction to Modern Wireless and Optical Communication Systems 3
EN.525.640 Satellite Communications Systems 3
EN.525.641 Computer and Data Communication Networks I 3
EN.525.678 Next Generation Mobile Networks and Security with 5G 3
EN.525.707 Error Control Coding 3
EN.525.708 Iterative Methods in Communications Systems 3
EN.525.722 Wireless and Mobile Cellular Communications 3
EN.525.735 MIMO Wireless Communications 3
EN.525.738 Advanced Antenna Systems 3
EN.525.747 Speech Processing 3
EN.525.751 Software Radio for Wireless Communications 3
EN.525.754 Wireless Communication Circuits 3
EN.525.759 Image Compression, Packet Video, and Video Processing 3
EN.525.761 Wireless and Wireline Network Integration 3
EN.525.768 Wireless Networks 3
EN.525.771 Propagation of Radio Waves in the Atmosphere 3
EN.525.772 Fiber-Optic Communication Systems 3
EN.525.776 Information Theory 3
EN.525.783 Spread Spectrum Communications 3
EN.525.789 Advanced Satellite Communications 3
EN.525.791 Microwave Communications Laboratory 3
EN.525.793 Advanced Communication Systems 3

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