Electrical Engineering (MEng)

Admission Standards

Since the Electrical Engineering MEng is accredited as part of a five-year program with one-year of co-op experience, it is only available for students who have matriculated through the Electrical Engineering bachelor degree program at Speed School.

The application form is available online.

The requirements for admission or readmission to a Master of Engineering program are:

1. Submission of a completed MEng application for the field of specialization in which the student is earning a bachelor degree from the J.B. Speed School of Engineering. Students can apply to the MEng program with fewer than thirteen (13) credit hours of BS degree requirements remaining and no later than two years post conferral of their baccalaureate degree. A student's admission into the MEng program is contingent upon successful completion of their undergraduate degree;

2. Recommendation by the faculty and chair of the student’s department for admission or readmission to graduate studies;

3. Cumulative baccalaureate grade point average of 2.75. However, those students with cumulative baccalaureate grade-point averages from 2.50 to 2.75 may be admitted upon petition and approval of the chair and faculty of the department.

A student becomes a candidate for the Master of Engineering degree upon admission to graduate studies and initial registration as a graduate student.

Program Requirements

The Master of Engineering in Electrical Engineering degree requires the following over and above the Bachelor of Science in Electrical Engineering Degree.
Master of Engineering Coursework
ECE 695Graduate Research Seminar in Electrical and Computer Engineering3
Focus Area (Required Course + 1 Elective Course from approved list) 16-8
ECE Electives 19
Technical Electives 1,26
Select one of the following:6
Thesis/Paper Option:
Master of Engineering Thesis or Paper in Electrical Engineering
Non-Thesis/Paper Option:
ECE Electives 1
Minimum Total Hours30-32

The Master of Engineering degree must be completed with a 3.00 GPA or better for all graduate courses used to satisfy degree requirements. Additionally, the Master of Engineering degree must be completed with a 3.00 GPA or better for all academic work attempted in graduate studies.

A maximum of eight (8) credit hours of graduate level courses taken as an undergraduate may be used to satisfy MEng degree requirements; these courses cannot have been used to also satisfy BS degree requirements. 

1

Focus Area courses and electives must be chosen so that at least one-half of the credits counted toward the degree, exclusive of thesis or paper, are 600-level.

2

Technical electives can be ECE or non-ECE courses. Technical electives must be approved by the department. 

3

ECE 697 Master of Engineering Thesis or Paper in Electrical Engineering is an elective for a total of six (6) credit hours. For the thesis/paper option, a student is urged to select both an approved M.Eng. thesis/paper topic and the director and members of the thesis/paper committee during the first term of graduate studies. The thesis/paper director must give approval for enrollment in ECE 697.


 

Focus Areas

Power and Energy Systems

Required Course
ECE 582Power System Analysis3
Elective Courses (Select one)
ECE 531Power Electronics3
ECE 569Intermediate Electromagnetic Fields and Waves3
ECE 581Electric Machines and Drives3
ECE 682Advanced Power System Analysis3

Microelectronics and Nanotechnology

Required Course
ECE 542Semiconductor Device Fundamentals3
Elective Courses (Select one)
ECE 510
ECE 511
Computer Design
Computer Design Laboratory
4
ECE 515
ECE 514
Introduction to VLSI Systems
Introduction to VLSI Systems Laboratory
4
ECE 516Microcomputer Design4
ECE 533
ECE 534
Analog Integrated Circuit Design
Analog Integrated Circuit Design Laboratory
4
ECE 543
ECE 544
Fundamentals of Microfabrication
Microfabrication Laboratory
4
ECE 547Semiconductor Photonic Devices3
ECE 548Electron Microscopy3
ECE 549Micro Electro Mechanical Systems (MEMS)3
ECE 569Intermediate Electromagnetic Fields and Waves3
ECE 611Computer Architecture3
ECE 632Semiconductor Principles3
ECE 633Microelectronics Design and Fabrication4
ECE 636MEMS Design and Fabrication4
ECE 638The MOSFET3

Communications and Signal Processing 

Required Course
ECE 520
ECE 521
Digital Signal Processing
Digital Signal Processing Laboratory
4
Elective Courses (Select one)
ECE 518Fundamentals of Computer Communications and Networks3
ECE 545Optical Signal Processing3
ECE 550
ECE 551
Communication and Modulation
Communication Systems Laboratory
4
ECE 555
ECE 556
Digital Image Processing
Digital Image Processing Laboratory
4
ECE 613Computational Intelligence Methods for Data Analysis3
ECE 651Communication System Design3
ECE 652Information Theory and Coding3
ECE 653Digital Communications3
ECE 654Advanced Voice/Data Networks3
ECE 656Wireless Communications and Mobile Radio Networks3

Controls, Robotics, and Automation

Required Course
ECE 560
ECE 561
Control Systems Principles
Control Systems Laboratory
4
Elective Courses (Select one)
ECE 526LabVIEW for Electrical Engineers3
ECE 564
ECE 565
Fundamentals of Autonomous Robots
Fundamentals of Autonomous Robots Lab
4
ECE 660Introduction to Robust Control3
ECE 661Sampled-Data Control Systems3
ECE 662Introduction to Optimum Control3
ECE 664Modern Adaptive Control3
ECE 665Theory of Nonlinear Systems3
ECE 668Advanced Robotic Manipulation3
ECE 669System Identification and Estimation3

Artificial Intelligence and Imaging 

Required Course
ECE 528
ECE 529
Deep Learning and AI Tools
Deep Learning and AI Tools Laboratory
4
Elective Courses (Select one)
ECE 520
ECE 521
Digital Signal Processing
Digital Signal Processing Laboratory
4
ECE 523Introduction to Biometrics3
ECE 530Introduction to Random Processes and Estimation Theory3
ECE 546Introduction to Medical Imaging3
ECE 555
ECE 556
Digital Image Processing
Digital Image Processing Laboratory
4
ECE 613Computational Intelligence Methods for Data Analysis3
ECE 618Artificial Intelligence Systems3
ECE 619
ECE 645
Computer Vision
Computer Vision Laboratory
4
ECE 620
ECE 655
Pattern Recognition and Machine Intelligence
Pattern Recognition and Machine Intelligence Laboratory
4
ECE 640Introduction to Biomedical Engineering3
ECE 641Medical Imaging Systems3
ECE 643Introduction to Biomedical Computing3

ECE Electives 

ECE 500Special Topics in Electrical Engineering3
ECE 518Fundamentals of Computer Communications and Networks3
ECE 523Introduction to Biometrics3
ECE 526LabVIEW for Electrical Engineers3
ECE 530Introduction to Random Processes and Estimation Theory3
ECE 531Power Electronics3
ECE 542Semiconductor Device Fundamentals3
ECE 543Fundamentals of Microfabrication3
ECE 545Optical Signal Processing3
ECE 569Intermediate Electromagnetic Fields and Waves3
ECE 581Electric Machines and Drives3
ECE 582Power System Analysis3
ECE 593Independent Study in Electrical Engineering3
ECE 600Special Topics in Electrical & Computer Engineering3
ECE 611Computer Architecture3
ECE 613Computational Intelligence Methods for Data Analysis3
ECE 614Deep Learning3
ECE 632Semiconductor Principles3
ECE 638The MOSFET3
ECE 640Introduction to Biomedical Engineering3
ECE 641Medical Imaging Systems3
ECE 643Introduction to Biomedical Computing3
ECE 651Communication System Design3
ECE 652Information Theory and Coding3
ECE 653Digital Communications3
ECE 654Advanced Voice/Data Networks3
ECE 660Introduction to Robust Control3
ECE 661Sampled-Data Control Systems3
ECE 662Introduction to Optimum Control3
ECE 664Modern Adaptive Control3
ECE 665Theory of Nonlinear Systems3
ECE 682Advanced Power System Analysis3