Explore the Master of Engineering in Electrical Engineering program at Stevens Institute of Technology. This program is offered in USA and provides an excellent learning opportunity in Masters studies.

The Online Master's Program in Electrical Engineering at Stevens Institute of Technology equips students with a robust foundation in electrical engineering and advanced knowledge in cutting-edge areas such as communications, digital signal processing, smart grids, and artificial intelligence. The program requires the completion of 30 credit hours, with courses designed to enhance both theoretical understanding and practical skills. Core courses include Analytical Methods in Electrical Engineering, Digital Signal Processing, and Introduction to Control Theory, among others. Students can also choose from elective courses focusing on specialized topics like Artificial Intelligence, Communications, and Robotics. This program is available online, allowing for flexibility in learning, and is ideal for professionals looking to advance their careers in the rapidly evolving field of electrical engineering.

Required Courses

• EE 602 Analytical Methods in Electrical Engineering
• EE 548 Digital Signal Processing
• EE 575 Introduction to Control Theory
• EE 603 Linear System Theory
• EE 608 Applied Modeling and Optimization
• AAI 627 Data Acquisition, Modeling & Analysis
• AAI 628 Data Acquisition, Modeling and Analysis: Deep Learning
• AAI 695 Applied Machine Learning
• EE 582 Wireless Networking: Architecture, Protocols & Standards
• EE 583 Wireless Communications

Elective Courses

• AAI 551 Engineering Programming: Python
• AAI/CPE 646 Pattern Recognition and Classification
• EE 510 Introduction to Radar Systems
• EE 568 Software Defined Radio
• EE 585 Physical Design of Wireless Systems
• EE 589 Introduction to Power Engineering
• EE 590 Smart Grid
• CPE 679 Computer and Information Networks
• CPE 691 Information Systems Security
• EE 553 Engineering Programming: C++
• CPE 521 Introduction to Autonomous Mobile Robots
• CPE 645 Image Processing and Computer Vision