Master of Science in Electrical Engineering

The Master of Science in Electrical Engineering degree program is designed to provide support for industrial research needs, as well as to offer an avenue for Penn State Harrisburg BSEE graduates to continue their education in the south central Pennsylvania region.  The program is accessible to engineering professionals who wish to pursue advanced studies without giving up their current employment. 

The program may be completed on a full-time or part-time basis.  Classes are scheduled weekly in three-hour evening sessions, offering a convenient format for career professionals seeking to enroll on part-time basis.  Whenever possible, the program will take advantage of the specialized equipment and research facilities available in the local industries to enhance the training of MSEE program students.

Degree Conferred: M.S.

Program Requirements for Admission

Requirements More Information
GPA An undergraduate cumulative grade-point average of 3.0 or better on a 4.0 scale.
Education An undergraduate degree in engineering or a technology-related field from an accredited university.
Supporting Materials
  • Three letters of professional recommendation from individuals who can evaluate the applicant’s potential
  • A personal statement of technical interest, goals, and experience
  • Statement of interest in graduate assistantship (if desired)
  • Test scores from the Graduate Record Examination (GRE)

Admission into this program will be granted only to candidates who demonstrate high potential for success in graduate studies.

Application Deadline

This program has rolling admission, that is, no specific deadline. Note that it may take 4-6 weeks to receive transcripts and process an application.

Application Process

Gather supporting materials and begin the standard graduate application.

Degree Requirements

All graduate students in Electrical Engineering are required to adhere to the requirements of the Graduate School, as found in the Graduate Degree Programs Bulletin. The requirements of the Graduate School, however, are minimum requirements and the policies, procedures, and regulations listed below are additional and more specific for graduate students pursuing the MS in Electrical Engineering degree. Advisers will call pertinent regulations to the attention of their advisees, but it should be understood that it is the student’s personal responsibility to see that all requirements are satisfied.

The MSEE program at Penn State Harrisburg is structured into two areas of concentration to fully take advantage of the specialty areas represented in the E E graduate faculty.  The areas are Electronics- Electromagnetics-Optics (EEO) and Systems. The program requires 31 credits, including 24 course credits with at least 15 credits at the 500 level, 1 colloquium credit (E E 500), and 6 thesis credits (E E 600). All students are required to take a 500-level analysis course (EMCH 524A) in addition to prescribed courses in one of the two concentration areas.  The prescribed courses are intended to establish the fundamentals of the technical areas.  To incorporate some breadth into the program, students are required to take at least one course in the second concentration area. 

Original research, usually requiring at least two semesters of work (nominal 6 credits), is expected for a thesis.  The work should be an in-depth investigation intended to extend the state of knowledge in some specialty area. 

The E E program has established a six-year time limit for completion of the M.S. degree.  Any extension beyond six years requires the approval of the E E program Graduate Faculty.

The student must maintain a minimum grade point average (GPA) of 3.00 or better on a 4.00 scale in 500- and 400-level courses listed on his/her Plan of Study.

Penn State Harrisburg’s MSEE program is distinct and independent of the MSEE program offered at the University Park campus.

Course Outline

  • Students in the EEO concentration area are required to take
    • 6 credits from the following:  E E 521, E E 531, E E 541
    • 12 credits from the following (Maximum of 6 cr. at 400-level): E E 510, E E 520, E E 521, E E 531, EE 534, EE 537, E E 538, E E 541, E E 542, E E 420 E E 421, E E 430, E E 432, E E 438, E E 441, E E 442.
  • Students in systems concentration area are required to take
    • 6 credits from the following:  E E 560, E E 580, E E 588
    • 12 credits from the following (Maximum of 6 cr. at 400-level):  E E 551, E E 553,  E E 556, E E 560, E E 561, E E 562, E E 568, E E 580, E E 581, E E 587, E E 588, E E 453, E E 456, E E 458, E E 460, E E 480, E E 481, E E 488, MATH 430, MATH 414.

In addition, all students are required to complete E MCH 524A (3.0), E E 500 (1.0), E E 600 (6.0), and a 3.0-credit E E elective at 400- or 500-level.

No more than three 400-level courses (9 credits) may be taken to satisfy the MSEE degree requirements.

At least one course must be taken in a different concentration area.

Courses

  • E E 410 - Linear Electronic Design (3) Prerequisite: E E 311
  • E E 413 - Power Electronics (3) Prerequisites: E E 310, E E 350
  • E E 420 - Electro-optics: Principles and Devices (3) Prerequisite: E E 320
  • E E 421 - Optical Fiber Communications (3) Prerequisites: E E 350, E E 320, E SC 314
  • E E 430 - Principles of Electromagnetic Fields (3) Prerequisite: E E 330
  • E E 432 - UHF and Microwave Engineering (3) Prerequisites: E E 330, E E 310
  • E E 438 - Antenna Engineering (3) Prerequisite: E E 330
  • E E 441 - Semiconductor Integrated Circuit Technology (3) Prerequisite: E E 310, E SC 314
  • E E 442 - Solid State Devices (3) Prerequisites: E E 310, E SC 314
  • E E 453 - Fundamentals of Digital Signal Processing (3) Prerequisite: E E 351 or E E 352 or E E 353
  • E E 456 - Introduction to Neural Networks (3) Prerequisite: CMPSC 201 or CMPSC 202; MATH 220
  • E E 458 - Digital Image Processing and Computer Vision (3) Prerequisite: E E 352
  • E E 460 - Communication Systems II (3) Prerequisite: E E 360
  • E E 480 - Linear Systems: Time Domain and Transform Analysis (3) Prerequisite: graduate standing 
  • E E 481 - Control Systems (4) Prerequisite: E MCH 211; PHYS 211; E E 352
  • E E 483 – Introduction to Automation and Robotics Systems (3) Prerequisite: E E 481
  • E E 484 - Control System Design (3) Prerequisite: E E 481
  • E E 488 - Power Systems Analysis I (3) Prerequisite: E E 387 or E E 485
  • E E 489 - Power Systems Analysis II (3) Prerequisite: E E 488
  • E E 496 – Independent Studies (1-18)
  • E E 497 - Special Topics (courses vary from semester to semester; see ON-LINE SCHEDULE for current offerings)
  • MATH 414 (STAT 414) - Introduction to Probability Theory (3)  Prerequisite: MATH 230 or MATH 231
  • MATH 430 - Linear Algebra and Discrete Models I (3) Prerequisite: MATH 220
  • E E 500 - Colloquium (1)
  • E E 510 - Linear Integrated Circuits (3) Prerequisite: E E 441, E E 410
  • E E 520 - Electro Optics--Systems and Computing (3) Prerequisite: E E 420
  • E E 521 - Fiber Optics and Integrated Optics (3) Prerequisite: E E 421
  • E E 531 - Engineering Electromagnetics (3) Prerequisite: E E 430
  • E E 534 - Conformal Antennas (3) Prerequisite: E E 538
  • E E 537 - Numerical and Asymptotic Methods of Electromagnetics (3)
  • E E 538 - Antenna Engineering (3) Prerequisite: E E 438
  • E E 541 - Manufacturing Methods in Microelectronics (3) Prerequisite: E E 441
  • E E 542 - Semiconductor Devices (3) Prerequisite: E E 442
  • E E 551 - Wavelets, Filter Banks and Multi-Resolution Analysis (3) Prerequisite: E E 453, MATH 220
  • E E 553 - Topics in Digital Signal Processing (3) Prerequisite: E E 453
  • E E 556 - Graphs, Algorithms and Neural Networks (3) Prerequisite: none
  • E E 560 - Probability, Random Variables and Stochastic Processes (3)   Prerequisite: E E 350,  STAT 418
  • E E 561 - Information Theory (3) Prerequisite: E E 460 or STAT 418
  • E E 562 - Detection and Estimation Theory (3) Prerequisite: E E 560
  • E E 568 - Digital Communications I (3) Prerequisite: E E 460; Prerequisite or Concurrent: E E 560
  • E E 580 - Linear Control Systems (3) Prerequisite: E E 380 
  • E E 581 - Optimal Control (3) Prerequisite: E E 580
  • E E 587 - Nonlinear Control And Stability (3) Prerequisite: E E 380 
  • E E 588 - Power Systems Control and Operation (3) Prerequisites: E E 488
  • E E 594 – Research Projects (1-3)
  • E E 596 – Individual Studies (1-9)
  • E E 597 - Special Topics (course names & numbers vary from semester to semester)
  • E E 600 - Thesis Research (1-15)
  • E MCH 524A - Mathematical Methods in Engineering (3) Prerequisite: MATH 250 or MATH 251

Resources


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