Electrical Engineering (MS)
Admission Standards
The admission standards for the master of science program in electrical engineering are as follows:
- All admission applications for the program shall include:
- A completed graduate application for the Graduate School,
- An application fee,
- At least two letters of recommendation, and
- Official transcript(s) for all previous post-secondary coursework. All transcripts not in English must be certified as authentic and translated verbatim into English.
- The minimum requirement for admission is the baccalaureate degree or its equivalent from an accredited institution.
- The successful applicant will typically have an undergraduate grade point average of 3.00 or above (on a 4.00 scale).
- International students whose primary language is not English must show English language proficiency by either TOEFL/IELTS/Duolingo score or demonstration of a degree awarded from an acceptable English language institution. The successful applicant will typically have a TOEFL score of 79 or higher or overall IELTS score of 6.5 or higher or a Duolingo score of 105 or higher.
Program Requirements
Remedial work may be specified for those applicants who, in the opinion of the faculty, do not have a sufficient background.
The minimum curricular requirements for the master's program are:
| Code | Title | Hours |
|---|---|---|
| ECE 695 | Graduate Research Seminar in Electrical and Computer Engineering 5 | 3 |
| Focus Area Courses (Required Course + 1 Elective Course from approved list) 1,2 | 6-9 | |
| ECE Electives 1,2 | 6 | |
| Technical Electives 1,3 | 9 | |
| Select one of the following: | 6 | |
| Thesis or Paper Option | ||
| Master of Science Thesis or Paper in Electrical Engineering 3 | ||
| Course-Only Option | ||
ECE Electives 1 | ||
| Minimum Total Hours | 30-33 | |
- 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, are 600-level.
- 2
Appliances Focus Area is only available for students in the GE Edison cohort.
- 3
Technical Electives can be ECE or non-ECE courses. Technical Electives must be approved by the department.
- 4
For the thesis/paper option, a student is required to select both an approved MS 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 690.
- 5
ECE 687 is the course substitute for students in the GE Edison cohort.
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 516 | Microcomputer Design | 4 |
| ECE 514 & ECE 515 | Introduction to VLSI Systems Laboratory Introduction to VLSI Systems | 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 |
Appliances (Hardware or Software) 3
| Code | Title | Hours |
|---|---|---|
| Hardware Focus Area | ||
| ECE 532 | Electromechanical System Designs for Home Appliances | 4.5 |
| ECE 631 | Advanced Electromechanical System Design for Home Appliances | 4.5 |
| Software Focus Area | ||
| ECE 539 | Industrial Software for Home Appliances | 4.5 |
| ECE 639 | Advanced Industrial Software for Home Appliances | 4.5 |

