Electrical and Computer Engineering, Master of Engineering (M.Eng.)
Non-thesis only: 30 credits
All Professional Master of Engineering Programs consist of 10 courses/30 credits. All students are expected to complete a preliminary course plan for their intended degree program. Students in this program complete six core courses and four electives. Degree planning worksheets can be found here: https://mage.umd.edu/degree-planning-sheets
Course | Title | Credits |
---|---|---|
Core Courses (choose six): | 18 | |
Any ENEE 600-level or higher courses (see degree planning sheet for specific restrictions) | ||
Pre-Approved Technical Electives (choose four): | 12 | |
Any ENEE 600-level or higher courses | ||
Advanced Topics in Engineering | ||
Software Engineering | ||
Embedded Systems | ||
TCP/IP Networking | ||
Robot Learning (Robot Learning) | ||
Hacking of C programs and Unix Binaries | ||
Network Security | ||
Networks and Protocols | ||
Reverse Software Engineering | ||
ENPM808L | (Analytics for Decision Support) | |
ENPM808R | (Machine Learning Techniques Applied to Cybersecurity) | |
ENPM808W | (Data Science) | |
ENPM808Y | (Fundamental Concepts of AI and Machine Learning, and their Applications) | |
ENPM808Z | (Cognitive Robotics) | |
ENPM809F | (Internet of Things) | |
ENPM809G | (Network Data Science) | |
ENPM809R | (Software Defined Networking) | |
ENPM809X | (Data and Algorithms) | |
Total Credit Hours | 30 |