Electrical Engineering (M.S.)
Admission Requirements
Admission to these programs is contingent upon admission to the Graduate School. All applicants whose B.S. degree is not from an ABET-accredited college or university are required to submit additional pertinent information, including results of the general test of the Graduate Record Examination (GRE), publications, and/or inventions.
Students with B.S. degrees from selected science and engineering undergraduate programs not specifically related to this discipline may be admitted into the master's program after completing a sequence of undergraduate courses designed to prepare them for the graduate curriculum.
ECE AGRADE Program
Outstanding undergraduates in the ECE department who meet eligibility criteria may enroll in the ECE AGRADE program. This program allows students to count up to 16 credits towards both the B.S. and M.S. degrees, enabling students to complete the B.S. and M.S. degrees within 5 years of full-time study. More information about eligibility, degree requirements, course selections, and policies may be found on the department's website.
Interdisciplinary Physics-ECE AGRADE Program
Outstanding seniors in Physics (both Applied Physics option and Fundamental Physics option) who meet eligibility criteria may apply for the cross-college AGRADE program between the Physics undergraduate program (College of Liberals Arts and Sciences) and Electrical Engineering (EE) Master's programs (College of Engineering). The Physics-ECE AGRADE program allows students to count up to 16 credits of selected graduate courses towards a B.S. degree in physics as well as an M.S. degree in Electrical Engineering. This enables students to complete both degrees within 5 years of full-time study. More information about eligibility, degree requirements, course elections, and academic policies may be found on the department's website.
Requirements – Traditional Program
The Master of Science in Electrical Engineering degree requires a minimum of thirty credits. It is offered under plan Plan A: Thesis, which includes a six credit thesis, or Plan C: Coursework. For either plan, students may choose from courses in one or more areas of specialization within the ECE curriculum.
All course work must be completed in accordance with the regulations of the Graduate School and the College of Engineering.
Plan A: Thesis
| Code | Title | Credits |
|---|---|---|
| Required courses | ||
| Select 4 ECE graduate courses in Major Area - Electrical Engineering, including at least one at 7000 level. 1 | ||
| Quantitative Physiology | ||
| Introduction to Cyber-Physical Systems | ||
| Modeling and Control of Power Electronics and Electric Vehicle Powertrains | ||
| Advanced Energy Storage Systems for Electrification of Vehicles | ||
| Alternative Energy Sources and Conversions | ||
| Power Electronics and Control | ||
| Robotic Systems I | ||
| Electric Energy Systems Engineering | ||
| Computer-Controlled Systems | ||
| Stochastic Processes in Engineering | ||
| Control Systems II | ||
| Solid State Electronics | ||
| Analysis and Design of Analog Integrated Circuits | ||
| Introduction to Micro and Nano Electro Mechanical Systems (MEMS/NEMS) | ||
| Advanced Nanoelectronics | ||
| Embedded System Design | ||
| Computer Networking and Network Programming | ||
| Sensors and Sensor Instrumentation | ||
| Computer-Aided Logical Design and FPGAs | ||
| Introduction to Digital Image Processing | ||
| Digital Communications | ||
| Digital Signal Processing | ||
| Optical Communication Networks | ||
| Introduction to Microwave Engineering | ||
| Introduction to VLSI Systems | ||
| Biomedical Instrumentation | ||
| Smart Sensor Technology I: Design | ||
| Mathematical Methods in Engineering I | ||
| Mathematical Modeling in Impact Biomechanics | ||
| Nonlinear Control Systems | ||
| Robotics Systems II | ||
| Discrete Event Systems with Machine Learning | ||
| Dynamic Systems and Optimal Control | ||
| Advanced Digital VLSI Design | ||
| Smart Sensor Technology II: Characterization and Fabrication | ||
| Scalable and Secure Internet Services and Architecture | ||
| Advanced Digital Image Processing and Applications | ||
| Fuzzy Systems | ||
| Statistical Communication Theory | ||
| Telematics | ||
| Photonics | ||
| Operation and Control of Modern Power Systems | ||
| Elective courses | ||
| The combined number of credits for Required and Elective courses must be at least 24. | ||
| List of eligible elective courses: | ||
Non-ECE courses: Up to 6 credits of elective credits may be taken in other WSU departments or transferred from another institution, including following: | ||
BME, ME, CHE, MSE or EVE 5000-7999 excluding directed study, research, or internship. | ||
Selected classes offered by the College of Engineering: | ||
| Special Topics in Engineering | ||
Selected classes offered by Department of Computer Science: | ||
| Introduction to Machine Learning and Applications | ||
| Machine Learning | ||
Selected classes offered by Department of Industrial Engineering: | ||
| Advanced Statistical Methods | ||
| Stochastic Processes | ||
PHY 5000-7999 excluding directed study, physics for teachers, research, and directed study, or internship. | ||
Selected classes offered by the Department of Mathematics: | ||
| Introduction to Analysis I | ||
| Introduction to Analysis II | ||
| Introduction to Stochastic Processes | ||
| Methods of Optimization | ||
| Real Analysis I | ||
| Real Analysis II | ||
| Statistical Computing and Data Analysis | ||
| Design of Experiments | ||
| Applied Regression Analysis | ||
| Thesis course | ||
| Master's Thesis Research and Direction (This course can be taken either as a single 6-credit course during the last term in the program or as repeated courses, totaling 6 credits, during last two terms.) | ||
- 1
Special Topics courses ECE 5995 and ECE 7995, depending on the courses subjects, may also be counted as courses in Major Area – upon approval by Graduate Program Director.
Plan C: Coursework
| Code | Title | Credits |
|---|---|---|
| Required courses | ||
| Select 5 ECE graduate courses in Major Area - Electrical Engineering, including at least 2 at 7000 level. 1 | ||
| Quantitative Physiology | ||
| Introduction to Cyber-Physical Systems | ||
| Modeling and Control of Power Electronics and Electric Vehicle Powertrains | ||
| Advanced Energy Storage Systems for Electrification of Vehicles | ||
| Alternative Energy Sources and Conversions | ||
| Power Electronics and Control | ||
| Robotic Systems I | ||
| Electric Energy Systems Engineering | ||
| Computer-Controlled Systems | ||
| Stochastic Processes in Engineering | ||
| Control Systems II | ||
| Solid State Electronics | ||
| Analysis and Design of Analog Integrated Circuits | ||
| Introduction to Micro and Nano Electro Mechanical Systems (MEMS/NEMS) | ||
| Advanced Nanoelectronics | ||
| Embedded System Design | ||
| Computer Networking and Network Programming | ||
| Sensors and Sensor Instrumentation | ||
| Computer-Aided Logical Design and FPGAs | ||
| Introduction to Digital Image Processing | ||
| Digital Communications | ||
| Digital Signal Processing | ||
| Optical Communication Networks | ||
| Introduction to Microwave Engineering | ||
| Introduction to VLSI Systems | ||
| Biomedical Instrumentation | ||
| Smart Sensor Technology I: Design | ||
| Mathematical Methods in Engineering I | ||
| Mathematical Modeling in Impact Biomechanics | ||
| Nonlinear Control Systems | ||
| Robotics Systems II | ||
| Discrete Event Systems with Machine Learning | ||
| Dynamic Systems and Optimal Control | ||
| Advanced Digital VLSI Design | ||
| Smart Sensor Technology II: Characterization and Fabrication | ||
| Scalable and Secure Internet Services and Architecture | ||
| Advanced Digital Image Processing and Applications | ||
| Fuzzy Systems | ||
| Statistical Communication Theory | ||
| Telematics | ||
| Photonics | ||
| Operation and Control of Modern Power Systems | ||
| Elective courses | ||
| The combined number of credits for Required and Elective courses must be at least 30. | ||
| List of eligible elective courses: | ||
Non-ECE courses: Up to 6 credits of elective credits may be taken in other WSU departments or transferred from another institution, including following: | ||
BME, ME, CHE, MSE or EVE 5000-7999 excluding directed study, research, or internship. | ||
Selected classes offered by the College of Engineering: | ||
| Special Topics in Engineering (repeatable up to 3 cr.) | ||
Selected classes offered by Department of Computer Science: | ||
| Introduction to Machine Learning and Applications | ||
| Machine Learning | ||
Selected classes offered by Department of Industrial Engineering: | ||
| Advanced Statistical Methods | ||
| Stochastic Processes | ||
PHY 5000-7999 excluding directed study, physics for teachers, research, and directed study, or internship. | ||
Selected classes offered by Department of Mathematics: | ||
| Introduction to Analysis I | ||
| Introduction to Analysis II | ||
| Introduction to Stochastic Processes | ||
| Methods of Optimization | ||
| Real Analysis I | ||
| Real Analysis II | ||
| Statistical Computing and Data Analysis | ||
| Design of Experiments | ||
| Applied Regression Analysis | ||
Requirements – Online Program
The online Master of Science in Electrical Engineering is offered with a concentration in Semiconductor Engineering. Semiconductor engineering focuses on developing technologies for manufacturing semiconductor devices in electronic circuits. The expertise spans from materials level research to device fabrication and chip packaging. Semiconductor technology is a critical driver of innovation in multiple industries ranging from computing, defense and automotive.
The program must be completed under Master's Degree Plan C, and it requires a minimum of thirty credits in course work. The online program also allows students to obtain six internship credits through an optional industrial internship experience. The internship activity should be in an area related to semiconductor engineering including but not limited to, design, validation, manufacturing, system integration, product development or applications.
| Code | Title | Credits |
|---|---|---|
| The coursework-only plan requires a minimum of five courses from the core group (two courses must be at the 7000-level). The 6-credit internship option requires a minimum of four courses from the core group (one course must be at the 7000-level) | ||
| Core Courses | ||
| Solid State Electronics | ||
| Advanced Nanoelectronics | ||
| Introduction to Micro and Nano Electro Mechanical Systems (MEMS/NEMS) | ||
| Sensors and Sensor Instrumentation | ||
| Computer-Aided Logical Design and FPGAs | ||
| Introduction to VLSI Systems | ||
| Advanced Digital VLSI Design | ||
| Advanced Mixed Signal Integrated Circuits | ||
| Elective Courses | ||
| Advanced Energy Storage Systems for Electrification of Vehicles | ||
| Alternative Energy Sources and Conversions | ||
| Power Electronics and Control | ||
| Embedded System Design | ||
| Special Topics in Electrical and Computer Engineering I (Topics should be chosen in consultation with program advisor.) | ||
| Smart Sensor Technology II: Characterization and Fabrication | ||