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
| Code | Title | Hours |
|---|---|---|
| Master of Engineering Coursework | ||
| ECE 695 | Graduate Research Seminar in Electrical and Computer Engineering | 3 |
| Focus Area (Required Course + 1 Elective Course from approved list) 1 | 6-8 | |
| ECE Electives 1 | 9 | |
| Technical Electives 1,2 | 6 | |
| 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 Hours | 30-32 | |
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
| Code | Title | Hours |
|---|---|---|
| Required Course | ||
| ECE 582 | Power System Analysis | 3 |
| Elective Courses (Select one) | ||
| ECE 531 | Power Electronics | 3 |
| ECE 569 | Intermediate Electromagnetic Fields and Waves | 3 |
| ECE 581 | Electric Machines and Drives | 3 |
| ECE 682 | Advanced Power System Analysis | 3 |
Microelectronics and Nanotechnology
| Code | Title | Hours |
|---|---|---|
| Required Course | ||
| ECE 542 | Semiconductor Device Fundamentals | 3 |
| 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 516 | Microcomputer Design | 4 |
| 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 547 | Semiconductor Photonic Devices | 3 |
| ECE 548 | Electron Microscopy | 3 |
| ECE 549 | Micro Electro Mechanical Systems (MEMS) | 3 |
| ECE 569 | Intermediate Electromagnetic Fields and Waves | 3 |
| ECE 611 | Computer Architecture | 3 |
| ECE 632 | Semiconductor Principles | 3 |
| ECE 633 | Microelectronics Design and Fabrication | 4 |
| ECE 636 | MEMS Design and Fabrication | 4 |
| ECE 638 | The MOSFET | 3 |
Communications and Signal Processing
| Code | Title | Hours |
|---|---|---|
| Required Course | ||
| ECE 520 & ECE 521 | Digital Signal Processing Digital Signal Processing Laboratory | 4 |
| Elective Courses (Select one) | ||
| ECE 518 | Fundamentals of Computer Communications and Networks | 3 |
| ECE 545 | Optical Signal Processing | 3 |
| ECE 550 & ECE 551 | Communication and Modulation Communication Systems Laboratory | 4 |
| ECE 555 & ECE 556 | Digital Image Processing Digital Image Processing Laboratory | 4 |
| ECE 613 | Computational Intelligence Methods for Data Analysis | 3 |
| ECE 651 | Communication System Design | 3 |
| ECE 652 | Information Theory and Coding | 3 |
| ECE 653 | Digital Communications | 3 |
| ECE 654 | Advanced Voice/Data Networks | 3 |
| ECE 656 | Wireless Communications and Mobile Radio Networks | 3 |
Controls, Robotics, and Automation
| Code | Title | Hours |
|---|---|---|
| Required Course | ||
| ECE 560 & ECE 561 | Control Systems Principles Control Systems Laboratory | 4 |
| Elective Courses (Select one) | ||
| ECE 526 | LabVIEW for Electrical Engineers | 3 |
| ECE 564 & ECE 565 | Fundamentals of Autonomous Robots Fundamentals of Autonomous Robots Lab | 4 |
| ECE 660 | Introduction to Robust Control | 3 |
| ECE 661 | Sampled-Data Control Systems | 3 |
| ECE 662 | Introduction to Optimum Control | 3 |
| ECE 664 | Modern Adaptive Control | 3 |
| ECE 665 | Theory of Nonlinear Systems | 3 |
| ECE 668 | Advanced Robotic Manipulation | 3 |
| ECE 669 | System Identification and Estimation | 3 |
Artificial Intelligence and Imaging
| Code | Title | Hours |
|---|---|---|
| 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 523 | Introduction to Biometrics | 3 |
| ECE 530 | Introduction to Random Processes and Estimation Theory | 3 |
| ECE 546 | Introduction to Medical Imaging | 3 |
| ECE 555 & ECE 556 | Digital Image Processing Digital Image Processing Laboratory | 4 |
| ECE 613 | Computational Intelligence Methods for Data Analysis | 3 |
| ECE 618 | Artificial Intelligence Systems | 3 |
| 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 640 | Introduction to Biomedical Engineering | 3 |
| ECE 641 | Medical Imaging Systems | 3 |
| ECE 643 | Introduction to Biomedical Computing | 3 |
ECE Electives
| Code | Title | Hours |
|---|---|---|
| ECE 500 | Special Topics in Electrical Engineering | 3 |
| ECE 518 | Fundamentals of Computer Communications and Networks | 3 |
| ECE 523 | Introduction to Biometrics | 3 |
| ECE 526 | LabVIEW for Electrical Engineers | 3 |
| ECE 530 | Introduction to Random Processes and Estimation Theory | 3 |
| ECE 531 | Power Electronics | 3 |
| ECE 542 | Semiconductor Device Fundamentals | 3 |
| ECE 543 | Fundamentals of Microfabrication | 3 |
| ECE 545 | Optical Signal Processing | 3 |
| ECE 569 | Intermediate Electromagnetic Fields and Waves | 3 |
| ECE 581 | Electric Machines and Drives | 3 |
| ECE 582 | Power System Analysis | 3 |
| ECE 593 | Independent Study in Electrical Engineering | 3 |
| ECE 600 | Special Topics in Electrical & Computer Engineering | 3 |
| ECE 611 | Computer Architecture | 3 |
| ECE 613 | Computational Intelligence Methods for Data Analysis | 3 |
| ECE 614 | Deep Learning | 3 |
| ECE 632 | Semiconductor Principles | 3 |
| ECE 638 | The MOSFET | 3 |
| ECE 640 | Introduction to Biomedical Engineering | 3 |
| ECE 641 | Medical Imaging Systems | 3 |
| ECE 643 | Introduction to Biomedical Computing | 3 |
| ECE 651 | Communication System Design | 3 |
| ECE 652 | Information Theory and Coding | 3 |
| ECE 653 | Digital Communications | 3 |
| ECE 654 | Advanced Voice/Data Networks | 3 |
| ECE 660 | Introduction to Robust Control | 3 |
| ECE 661 | Sampled-Data Control Systems | 3 |
| ECE 662 | Introduction to Optimum Control | 3 |
| ECE 664 | Modern Adaptive Control | 3 |
| ECE 665 | Theory of Nonlinear Systems | 3 |
| ECE 682 | Advanced Power System Analysis | 3 |

