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 be admitted 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;
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 Design Electives (see list below) 1,2,3 | 12 | |
ECE Electives (see list below) 1,3,4 | 6 | |
Technical Electives 1,5 | 6 | |
Select one of the following: | 6-7 | |
Thesis/Paper Option: | ||
Master of Engineering Thesis or Paper in Electrical Engineering | ||
Non-Thesis/Paper Option: | ||
Graduate Seminar in Electrical and Computer Engineering | ||
ECE Electives (see list below) 1,3,4 | ||
Minimum Total Hours | 30-31 |
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
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
A minimum of twelve (12) credit hours must be classified as Design Electives. Design Electives must be chosen from the approved list of regular courses (see below).
- 3
ECE electives must be chosen from an approved list
- 4
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.
- 5
Technical electives can be ECE or non-ECE courses. Technical electives must be approved by the department. A maximum of six (6) credit hours of non-ECE courses will count toward the MEng degree. Non-ECE technical electives must be approved by the department.
Design Electives
Code | Title | Hours |
---|---|---|
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 520 & ECE 521 | Digital Signal Processing Digital Signal Processing Laboratory | 4 |
ECE 533 & ECE 534 | Integrated Circuit Design Integrated Circuit Design Laboratory | 4 |
ECE 543 & ECE 544 | Fundamentals of Microfabrication and MEMS Microfabrications/MEMS Laboratory | 4 |
ECE 550 & ECE 551 | Communication and Modulation Communication Systems Laboratory | 4 |
ECE 555 & ECE 556 | Digital Image Processing Digital Image Processing Laboratory | 4 |
ECE 560 & ECE 561 | Control Systems Principles Control Systems Laboratory | 4 |
ECE 564 & ECE 565 | Fundamentals of Autonomous Robots Fundamentals of Autonomous Robots Lab | 4 |
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 633 | Microelectronics Design and Fabrication | 4 |
ECE 636 | MEMS Design and Fabrication | 4 |
ECE 697 | Master of Engineering Thesis or Paper in Electrical Engineering | 6 |
ECE electives
Code | Title | Hours |
---|---|---|
Any ECE Design Elective from above list. | ||
ECE 500 | Special Topics in Electrical Engineering | 1-6 |
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 532 | Electromechanical System Designs for Home Appliances | 4.5 |
ECE 540 | Fundamentals of Lasers | 3 |
ECE 541 | Engineering Optics Laboratory | 1 |
ECE 542 | Semiconductor Device Fundamentals | 3 |
ECE 543 | Fundamentals of Microfabrication and MEMS | 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 600 | Special Topics in Electrical & Computer Engineering | 1-6 |
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 642 | Fiber Optics and Integrated Optical Systems | 3 |
ECE 643 | Introduction to Biomedical Computing | 3 |
ECE 645 | Computer Vision Laboratory | 1 |
ECE 647 | Fundamentals of Optoelectronics and Photonics | 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 655 | Pattern Recognition and Machine Intelligence Laboratory | 1 |
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 674 | Nanotechnology | 3 |
ECE 675 | Nanostructure Self-Assembly | 3 |
ECE 676 | Foundations of Polymer MEMS | 3 |
ECE 682 | Advanced Power System Analysis | 3 |
ECE 697 | Master of Engineering Thesis or Paper in Electrical Engineering | 1-6 |