Academic Catalog

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

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
Parallel Computer 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 courses:
ECE 5000-7999 including courses in the Electrical Engineering, or Computer Engineering major area, ECE 5990 Directed Study (1 – 3 cr., repeatable up to 3 cr.), Special Topics courses ECE 5995 and ECE 7995 (repeatable up to 12 cr.), Industrial Internship ECE 6991 (1 cr., repeatable up to 3 cr.).
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:
Stochastic System Modeling: Queuing and Simulation
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

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
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
Parallel Computer 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 courses:
ECE 5000-7999 including courses in the Electrical Engineering, or Computer Engineering major area, ECE 5990 Directed Study (1 – 3 cr., repeatable up to 3 cr.), Special Topics courses ECE 5995 and ECE 7995 (repeatable up to 12 cr.), Industrial Internship ECE 6991 (1 cr., repeatable up to 3 cr.).
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:
Stochastic System Modeling: Queuing and Simulation
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
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.

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