Skip to main content
Electrical engineers working
Master of Engineering in
Electrical Engineering

Courses

The 30-credit Master of Engineering in Electrical Engineering curriculum includes core classes that incorporate advanced technical knowledge, probability theory, research, and applications. Course topics include signal processing, communication systems, power systems, electronics, electronic and integrated circuits, electromagnetics, and microelectronics. 

Complete Your Engineering Degree in Two Years

You can pursue the program on a part-time basis and complete the program within two years, based on completion of two courses a semester. You must maintain a 3.00 grade-point average in both prescribed and supporting courses approved by the program to graduate.

You must successfully complete the following program requirements:

  • At least 21 credits must be in Engineering courses.
  • At least 15 credits must be in Electrical Engineering (EE) courses.
  • At least 18 credits must be at the 500 level.
  • All students must complete three credits of EE 594, Research Projects.

As part of the program, you will write a nonthesis scholarly report or engineering paper that you and your faculty adviser have mutually agreed upon, which is suitable for publication at a national or international conference, such as the IEEE's (Institute of Electrical and Electronics Engineers), or in a professional journal, in order to obtain this degree.

Prescribed Core Courses (9 credits)

  • 3
    credits

    The major topics covered in this course include Signals and Systems representations, classifications, and analysis using; Difference and Differential Equations, Laplace Transform, Z-Transform, Fourier series, Fourier Transform, Fast Fourier Transform (FFT), Discrete-Time Fourier Transform (DTFT) and Discrete Fourier Transform (DFT).

  • 3
    credits

    Review of probability theory and random variables; mathematical description of random signals; linear system response; Wiener, Kalman, and other filtering.

  • 3
    credits

    Supervision of individual research projects leading to MS or MEng papers. Written and oral reports are required.

Electives (select 21 credits)

  • 3
    credits

    Theories and practices of solar electric systems, including component selection, performance simulation, grid interconnection, codes, and design documentation.

  • 3
    credits

    Provides detailed performance analysis of communications systems first studied in introductory communications courses such as EE 360 or EE 461.

  • 3
    credits

    Fundamentals, power transformers, transmission lines, power flow, fault calculations, power system controls.

  • 3
    credits

    Electromagnetic field theory fundamentals with application to transmission lines, waveguides, cavities, antennas, radar, and radio propagation.

  • 3
    credits

    Parametric modeling, spectral estimation, efficient transforms and convolution algorithms, multirate processing, and selected applications involving non-linear and time-variant filters.

  • 3
    credits

    Continuous and discrete-time linear control systems; state variable models; analytical design for deterministic and random inputs; time-varying systems and stability.

  • 3
    credits

    Variational methods in control system design; classical calculus of variations, dynamic programming, maximum principle; optimal digital control systems; state estimation.

    • Prerequisite

      EE 580

  • 3
    credits

    Steady-state and dynamic model of synchronous machines, excitation systems, unit commitment, control of generation, optimal power flow.

    • Prerequisite

      EE 488

  • 3
    credits

    An overview of renewable energy technologies and energy system analysis.

  • 3
    credits

    Technical and theoretical background for utility-scale solar energy conversion technologies to generate electric power.

    • Prerequisite

      EME 810

  • 3
    credits

    Traditional and contemporary leadership theory is analyzed to determine effective strategies for leading projects and innovation within an engineering context.

  • 3
    credits

    Descriptive statistics, hypothesis testing, power, estimation, confidence intervals, regression, one- and two-way ANOVA, chi-square tests, diagnostics.

    • Prerequisite

      one undergraduate course in statistics

Course Availability

If you're ready to see when your courses will be offered, visit our public LionPATH course search (opens in new window) to start planning ahead.

Penn State World Campus Graduate

Ready to Learn More?

Get the resources you need to make informed decisions about your education. Request information on this program and other programs of interest by completing this form.

* required 1/3

I agree to be contacted via phone, email, and text by Penn State World Campus and affiliates. Privacy Policy. reCAPTCHA protected. Google Privacy Policy and Terms of Service.