Electrical Engineering, MSEE

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Program Description:

The Department of Electrical Engineering offers a program of graduate study leading to a Master of Science in Electrical Engineering (M.S.E.E.) degree. The M.S.E.E. program is broad in scope and emphasizes portable concepts in the design and analysis of complex physical systems using modeling, synthesis, and optimization techniques, and bridges interdisciplinary engineering areas such as control systems, microwave engineering, power electronics, signal processing, very large scale integrated circuits (VLSI), and wireless communications. A Ph.D. in electrical engineering is also available. For details, see Electrical Engineering Ph.D. Program.

Admissions Requirements:

To be considered for admission to the M.S.E.E. program, students must first satisfy basic requirements of the Graduate School. This includes having a bachelor's degree in electrical engineering or a related area with an overall undergraduate grade point average of at least 2.9 on a 4.0 scale. International students must have a TOEFL score of at least 550 on the paper-based exam or 213 on the computer-based exam or 79 on the internet based exam or IELTS score of minimum 6.0. In addition, the program requires students from non-ABET accredited undergraduate programs to submit general GRE test scores and the preferred combined (verbal and quantitative) GRE score is of minimum 290. Program admission decisions are based on complete application information including overall academic performance and standardized test scores where applicable. A student may be admitted to the program on a conditional status. Typically, a conditionally admitted student is required to achieve 3.0 GPA of the first two graduate courses (6-8 credit hours) specified by a department advisor. A student with an undergraduate academic deficiency may petition for admission after demonstrating the ability to perform well in graduate courses taken in a non-degree status.

Program Learning Outcomes:

Graduates of the Master's of Science in Electrical Engineering program shall:

• Have the ability to synthesize diverse electrical engineering concepts to solve complex problems, and
• Have the ability to bring current analyses and tools to bear on a wide range of problems, and
• Have the ability to model, analyze, simulate, and realize new electrical engineering technologies through the application of current theory, design, and validation techniques.

For more information visit:

• Electrical Engineering, MS
• Department of Electrical Engineering
• College of Engineering and Computer Science

Program Requirements

Graduation Requirements

1. Submit a Program of Study, conforming to the following requirements, with approval by the Graduate Program Director by the end of the first semester.
2. Complete at least 30 graduate credit hours (WSU courses numbered 6000 or above) with the following restrictions:
   • At least 24 of the 30 graduate credit hours must be EE prefix courses.
   • At least 18 of the 30 graduate credit hours must be numbered 7000 or above.
   • At least 12 of the 18 7000 level credit hours must be EE prefix courses.
3. A successfully advised and defended Thesis may count at most 9 graduate credit hours (through “P” grades in EE 7990) toward graduation for thesis-option students. 
4. At most 2 credit hours of “Independent Study” (through “P” grades in EE 7900) may be counted toward graduation.
5. At most 8 hours of Graduate-Program-Director-approved graduate transfer credit may be applied toward graduation.
6. Elective graduate courses counting toward graduation must be selected from a list available from the EE department.
7. No more than 6 graduate credit hours of C grades may be counted toward graduation.  Of the maximum total of 6 graduate credit hours of C, no more than 2 of these may correspond to Laboratory courses.
8. A minimum GPA of 3.0 is required for graduation. 
9. Each MSEE student may choose to complete at least three (3) courses from at least one of the major areas below with at least two of these at the 7xxx level, or customize a series of courses with departmental approval.

Major Area 1: VLSI & Electronics

• EE 6440 - Electronic Integrated Systems Credit Hour(s): 3
• EE 6540 - Very Large Scale Integrated Circuit Design Credit Hour(s): 3
• EE 6620 - Digital Integrated Circuit Design with PLDs and FPGAs Credit Hour(s): 3
• EE 7410 - Power Electronics I Credit Hour(s): 3
• EE 7420 - Power Electronics II Credit Hour(s): 3
• EE 7430 - High Frequency Magnetic Components Credit Hour(s): 3
• EE 7440 - RF Power Amplifiers Credit Hour(s): 3
• EE 7510 - Digital Wideband Receiver Design Credit Hour(s): 3
• EE 7520 - Low Power VLSI System Design Credit Hour(s): 3
• EE 7530 - VLSI Design Synthesis and Optimization Credit Hour(s): 3
• EE 7540 - VLSI Testing and Design for Testability Credit Hour(s): 3
• EE 7550 - Trust in Integrated Circuit Design Credit Hour(s): 3
• EE 7580 - CMOS Mixed Signal IC Design Credit Hour(s): 3
• EE 7590 - CMOS Radio Frequency Integrated Circuit Design Credit Hour(s): 3

Major Area 2: Controls

• EE 6120 - Industrial Controls and Automation Credit Hour(s): 3
• EE 6130 - Continuous Control Systems Credit Hour(s): 3
• EE 6170 - Digital Control Systems Credit Hour(s): 3
• EE 6190 - Reinforcement Learning and Neural Networks in Intelligent Control Credit Hour(s): 3
• EE 6560 - Introduction to Robotics Credit Hour(s): 3
• EE 6600 - Autonomous UAV Flight Control Credit Hour(s): 3
• EE 7020 - Modern Control I Credit Hour(s): 3
• EE 7200 - Modern Control II Credit Hour(s): 3
• EE 7270 - Adaptive Control Credit Hour(s): 3
• EE 7280 - Intelligent Control Credit Hour(s): 3
• EE 7560 - Advanced Robotics Credit Hour(s): 3

Major Area 3: Signal Processing & Communications

• EE 6360 - Digital Signal Processing: Theory, Application and Implementation Credit Hour(s): 3
• EE 6730 - Wireless Communication Credit Hour(s): 3
• EE 6750 - Introduction to Radar Systems Credit Hour(s): 3
• EE 6840 - Introduction to Machine Learning Credit Hour(s): 3
• EE 7010 - Linear Systems Credit Hour(s): 3
• EE 7150 - Digital Image Processing Credit Hour(s): 3
• EE 7160 - Multisensor and Information Fusion Credit Hour(s): 3
• EE 7170 - Target Tracking and Data Association Credit Hour(s): 3
• EE 7330 - Modern Radar Theory Credit Hour(s): 3
• EE 7350 - Wireless Communication Techniques Credit Hour(s): 3
• EE 7360 - Advanced Wireless Communication Techniques Credit Hour(s): 3
• EE 7400 - Information Theory Credit Hour(s): 3
• EE 7610 - Random Processes Credit Hour(s): 3
• EE 7620 - Detection, Estimation, and Optimal Filter Theory Credit Hour(s): 3
• EE 7630 - Stochastic Signal Processing Credit Hour(s): 3

Major Area 4: RF & Microwave

• EE 6100 - Nano-Fabrication of Integrated Solid State Devices Credit Hour(s): 3
• EE 6400 - Nanoscience and Nanotechnology Credit Hour(s): 3
• EE 6420 - Microwave Engineering I - Passive Components Credit Hour(s): 3
• EE 6460 - Microwave Engineering II - Active Components and Circuits Credit Hour(s): 3
• EE 6470 - Antenna Theory and Design Credit Hour(s): 3
• EE 6700 - Introduction to MEMS Credit Hour(s): 3
• EE 7080 - Advanced Micro-Electro-Mechanical Systems (MEMS) Credit Hour(s): 3
• EE 7430 - High Frequency Magnetic Components Credit Hour(s): 3
• EE 7440 - RF Power Amplifiers Credit Hour(s): 3
• EE 7460 - Advanced Electromagnetics Engineering Credit Hour(s): 3
• EE 7470 - Electromagnetic Simulation Methods Credit Hour(s): 3
• EE 7480 - Advanced Microwave Engineering Credit Hour(s): 3