Computer 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 at https://engineering.wayne.edu/ece/programs/agrade.php
Program Requirements
The Master of Science in Computer 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 - Computer Engineering, including at least one at 7000 level. 1 | ||
| Introduction to Cyber-Physical Systems | ||
| Robotic Systems I | ||
| Computer-Controlled Systems | ||
| Control Systems II | ||
| Analysis and Design of Analog Integrated Circuits | ||
| Embedded System Design | ||
| Computer Networking and Network Programming | ||
| Computer-Aided Logical Design and FPGAs | ||
| Introduction to Digital Image Processing | ||
| Digital Signal Processing | ||
| Introduction to VLSI Systems | ||
| Robotics Systems II | ||
| Artificial Intelligence for Natural Language Processing | ||
| Advanced Digital VLSI Design | ||
| Advanced Parallel and Distributed Systems | ||
| Scalable and Secure Internet Services and Architecture | ||
| Advanced Digital Image Processing and Applications | ||
| Fuzzy Systems | ||
| Telematics | ||
| 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 (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 | ||
| 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 - Computer Engineering, including at least 2 at 7000 level. 1 | ||
| Introduction to Cyber-Physical Systems | ||
| Robotic Systems I | ||
| Computer-Controlled Systems | ||
| Control Systems II | ||
| Analysis and Design of Analog Integrated Circuits | ||
| Embedded System Design | ||
| Computer Networking and Network Programming | ||
| Computer-Aided Logical Design and FPGAs | ||
| Introduction to Digital Image Processing | ||
| Digital Signal Processing | ||
| Introduction to VLSI Systems | ||
| Robotics Systems II | ||
| Artificial Intelligence for Natural Language Processing | ||
| Advanced Digital VLSI Design | ||
| Advanced Parallel and Distributed Systems | ||
| Scalable and Secure Internet Services and Architecture | ||
| Advanced Digital Image Processing and Applications | ||
| Fuzzy Systems | ||
| Telematics | ||
| 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 | ||