Explore the Master of Engineering in Electrical Engineering program at Penn State University. This program is offered in USA and provides an excellent learning opportunity in Masters studies.

The Master of Engineering in Electrical Engineering at Penn State World Campus is designed for professionals seeking to advance their careers in the electrical engineering field. This 100% online program allows students to complete their coursework at their own pace, with a total of 30 credits required for graduation. The curriculum emphasizes practical, hands-on learning and covers essential topics such as electronic communication systems, control systems, signal processing, and power systems. Students can choose from a variety of electives, including deep learning and machine vision, to tailor their education to their interests. The program can be completed in as little as two years on a part-time basis, making it ideal for working professionals. Graduates are well-prepared for roles in diverse industries, including telecommunications, automotive, and power generation, and are equipped with the skills needed to tackle complex engineering challenges.

Required Courses

• EE 480: Linear Systems: Time Domain and Transform Analysis
• EE 560: Probability, Random Variables, and Stochastic Processes
• EE 594: Research Projects

Elective Courses

• A-I 570: Deep Learning
• A-I 574: Natural Language Processing
• A-I 801: Foundations of Artificial Intelligence
• A-I 879: Machine Vision
• AE 868: Commercial Solar Electric Systems
• AMD 527: Additive Manufacturing Processes
• AMD 545: Engineering and Scientific Principles of Additive Manufacturing
• AMD 562: Design for Additive Manufacturing
• DAAN 862: Analytics Programming in Python
• EE 417: Digital Design Using Field Programmable Devices
• EE 460: Communication Systems II
• EE 488: Power Systems Analysis I
• EE 531: Engineering Electromagnetics
• EE 553: Topics in Digital Signal Processing
• EE 556: Graphs, Algorithms, and Neural Networks
• EE 580: Linear Control Systems
• EE 581: Optimal Control
• EE 588: Power System Control and Operation
• EE 589: Smart Grid Control and Dynamics
• EE 597: Special Topics: Linear Discrete-Time Control Systems
• EME 802: Renewable and Sustainable Energy Systems
• EME 812: Utility Solar Power and Concentration
• ENGR 501: Engineering Leadership for Corporate Innovation
• ME 452: Vehicle Road Dynamics
• ME 544: Engineering Mathematics
• ME 552: Optimal Control of Energy Systems
• ME 556: Robotic Concepts
• STAT 500: Applied Statistics
• STAT 505: Applied Multivariate Statistical Analysis