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Chairperson: Edwin E. Yaz, Ph.D., P.E.
marquette.edu/engineering/electrical_computer/grad.shtml
Degrees Offered
Master of Science; Doctor of Philosophy; Certificate
Mission Statement
The Department of Electrical and Computer Engineering embraces the missions of Marquette University and its College of Engineering. The mission of the Department of Electrical and Computer Engineering is to offer its students high quality, up-to-date, nationally-recognized programs in electrical and computer engineering that prepare them for successful careers. This success is marked by a commitment to lifelong learning and a deep concern for the impact of their work on others, research that advances the frontiers of technical and scientific knowledge and service to professional and civic communities.
Specializations
M.S., Ph.D.: No formal specializations offered; however, students may focus their course work in one or more of the following areas: Signal Processing, Control Theory, Electromagnetic Fields and Waves, Power and Energy Systems, Solid State Devices and Sensor Systems, or Algorithms and Machine Learning.
Certificate: Digital Signal Processing; Electric Machines, Drives and Controls; Microwaves and Antennas; Sensors and Smart Sensor Systems
Program Descriptions
Certificate Programs
The department offers several 12-credit non-degree graduate certificate programs. The certificate program is designed for practicing engineers and other qualified individuals with bachelor's degrees, who wish to update and/or expand their knowledge in specific areas, but do not necessarily wish to pursue a master's or doctoral degree. A student may complete more than one certificate program; however, credits used toward one certificate may not be used to meet the requirements of another. Up to a total of 12 credits earned in all certificate programs completed may also be used to meet master's or doctoral degree requirements.
Graduate certificates are offered in the following four areas: digital signal processing; sensors and smart sensor systems; electric machines, drives and controls; and microwaves and antennas. Detailed requirements for these certificates are available from the department chairperson. In addition, certificates can be individually tailored to the needs of the student with the aid of an adviser and approval of the EECE graduate committee.
Degree Programs
The master of science and doctor of philosophy degree programs are designed to provide graduate students with both broad fundamental knowledge and up-to-date information on current and emerging technologies. Students may enroll on either a full-time or part-time basis (with the exception of the one-year residency requirement for doctoral students). Doctoral students and research-oriented master’s students engage in research activities under the close supervision of their advisers, gradually learning to become independent researchers. Their projects often are supported by government and industry grants. Courses and research activities make significant use of the department’s extensive laboratory and computer facilities. Graduates find employment in industry, research facilities, government and academia.
Prerequisites for Admission
Graduates of accredited colleges or universities with bachelor's degree in electrical engineering, computer engineering or equivalent are eligible for admission. Only those applicants whose undergraduate records show promise of success in graduate study are admitted. To qualify for admission, applicants must have, as a minimum, approximately a B average in their total post-secondary school education.
A master of science degree or equivalent in an appropriate field of study is required for admission to the doctoral program. Applicants with bachelor's degrees must first be admitted to and successfully complete the master of science degree program and may then continue into the doctoral program.
Application Requirements
Applicants must submit, directly to the Graduate School:
- A completed online application form and fee.
- Official transcripts from all current and previous colleges/universities except Marquette.
- Three letters of recommendation.
- A brief statement of purpose.
- GRE test scores (General Test only).
- (For international applicants only) a TOEFL score or other acceptable proof of English proficiency.
- (For non-degree certificate applicants only) a certificate course work planning form, prepared in consultation with an adviser from the department.
General Information
All admitted students are required to obtain and read the department’s Graduate Student Handbook, which contains complete details about the electrical and computer engineering programs and additional departmental degrees. This handbook is available through the Electrical and Computer Engineering Office, (414) 288-6820 and on the department’s graduate programs Web page at marquette.edu/engineering/electrical_computer/grad.shtml.
Accelerated Bachelor’s–Master’s Degree Program
The EECE Department offers an accelerated degree program where eligible students may obtain both a bachelor's degree and an M.S.E.E. degree in five years. Students with a GPA of 3.500 or better in their mathematics, science and engineering courses are eligible to apply to this program in their junior year. This program is available to undergraduate students in electrical and computer engineering or in physics. Students wishing to participate in the five-year program must apply and be admitted to the program before their senior year.
Certificate Requirements
Each graduate certificate program requires completion of four courses (12 credits) selected from a prescribed list of courses pertinent to the area of study, as indicated below. All courses taken must be approved for graduate credit and at least two of the courses must be strictly graduate level (6000 or 8000-level courses). Students must complete all courses within a three-year time period and must earn a grade point average of at least 3.000 with no grade below a C.
Edit "DISP-Certificate"
Digital Signal Processing
| EECE 5510 | Digital Signal Processing | 3 |
| EECE 5650 | Introduction to Algorithms | 3 |
| EECE 5860 | Introduction to Neural Networks and Fuzzy Systems | 3 |
| EECE 5870 | Evolutionary Computation | 3 |
| EECE 6010 | Advanced Engineering Mathematics | 3 |
| EECE 6020 | Probability and Random Processes in Engineering | 3 |
| EECE 6510 | Optimal and Adaptive Digital Signal Processing | 3 |
| EECE 6520 | Digital Processing of Speech Signals | 3 |
| EECE 6530 | Chaos and Nonlinear Signal Processing | 3 |
| EECE 6540 | Digital Image Processing | 3 |
| EECE 6820 | Artificial Intelligence | 3 |
| EECE 6830 | Pattern Recognition | 3 |
| EECE 6840 | Neural Networks and Neural Computing | 3 |
Electric Machines, Drives Controls
| EECE 5210 | Design and Analysis of Electric Motor-Drive Systems | 3 |
| EECE 5240 | Protection and Monitoring of Electric Energy Systems | 3 |
| EECE 5250 | Transients in Electric Energy Systems and Devices | 3 |
| EECE 5310 | Control Systems | 3 |
| EECE 5320 | Digital Control Systems | 3 |
| EECE 6010 | Advanced Engineering Mathematics | 3 |
| EECE 6020 | Probability and Random Processes in Engineering | 3 |
| EECE 6210 | Advanced Electric Machines and Drives | 3 |
| EECE 6220 | Advanced Concepts in the Design and Modeling of Electric Machines and Drives | 3 |
| EECE 6230 | Finite Element Analysis | 3 |
| EECE 6310 | Modern Control Theory | 3 |
| EECE 6320 | Optimal Control | 3 |
| EECE 6330 | Nonlinear and Adaptive Control | 3 |
Microwaves and Antennas
| EECE 6010 | Advanced Engineering Mathematics | 3 |
| EECE 6020 | Probability and Random Processes in Engineering | 3 |
| EECE 6110 | Advanced Electromagnetic Fields | 3 |
| EECE 6120 | Electromagnetic Theory | 3 |
Sensors and Smart Sensors System
| EECE 5460 | Sensor Devices: Theory, Design and Applications | 3 |
| EECE 6010 | Advanced Engineering Mathematics | 3 |
| EECE 6020 | Probability and Random Processes in Engineering | 3 |
| EECE 6420 | Infrared and Photonics Sensors: Theory and Applications | 3 |
| EECE 6430 | Microelectromechanical Systems and Sensors | 3 |
| EECE 6450 | Surface-Acoustic-Wave Devices | 3 |
Electrical and Computer Engineering
The EECE department offers two options for earning a master's degree, a thesis option (Plan A) and a non-thesis option (Plan B). By the end of the first semester of full-time studies, all master's students must select and meet with the academic adviser and together complete a Master's Program Planning Form, including identifying whether they wish to pursue the thesis or non-thesis option as well as listing a proposed set of courses for their program of study. This program of study must be approved by the adviser and the EECE director of graduate studies, as well as the Graduate School. Courses must form a cohesive overall plan of study as determined mutually by each student and his or her adviser.
In the thesis option, 30 credit hours are required: 24 credit hours of course work plus 6 credit hours of EECE 6999 Master's Thesis. At least 18 of the 24 credits of course work must be taken in EECE. At least one half of the minimum total course program (i.e., 12 hours exclusive of thesis) and of the EECE course program (i.e., 9 hours exclusive of thesis but including the required courses EECE 6010 Advanced Engineering Mathematics and EECE 6020 Probability and Random Processes in Engineering) must be taken at the strictly graduate level (6000 or 8000-level). Students in the master's thesis option must also successfully complete and defend a research thesis under the guidance of their faculty advisers and thesis committees.
In the non-thesis option, 30 credit hours, at least 21 of which must be in EECE, are required. At least 18 credits of the total program course work and at least 12 credits of the EECE course work (including EECE 6010 Advanced Engineering Mathematics and EECE 6020 Probability and Random Processes in Engineering) must be taken at the strictly graduate level (6000 or 8000-level). In addition, independent study and research seminar credits are not permitted in this program option. Students in the master's non-thesis option must also successfully pass a written comprehensive examination prior to graduation. The exam covers material from the two required core courses EECE 6010 Advanced Engineering Mathematics and EECE 6020 Probability and Random Processes in Engineering, plus one additional focus area identified by students and their advisers.
Full details of the master's degree programs can be found in the EECE Graduate Student Handbook.
Electrical Computer Engineering
The doctoral program requires a total of 24 post-master's credit hours of course work, plus an additional 12 dissertation credits. (A master's degree is considered to be the equivalent of 24 course work credits, so that this course work requirement is the equivalent of 48 credits beyond the bachelor's degree, exclusive of dissertation credits.)
The only required courses for the doctoral program are EECE 6010 Advanced Engineering Mathematics and EECE 6020 Probability and Random Processes in Engineering typically taken in the first year of study. Courses must form a cohesive overall plan of study as determined mutually by each student and their adviser.
Doctoral students are required to take the doctoral written qualifying examination by the beginning of their fourth semester of study. The WQE is a written exam, administered twice a year. Following successful completion of the WQE, students become doctoral candidates and move forward with pursuing their dissertation research. This process includes formation of a faculty dissertation committee, presentation of an oral proposal and dissertation outline and finally a public dissertation defense of their work.
Full details of the doctoral program can be found in the EECE Graduate Student Handbook.
On this page
- Degrees Offered
- Mission Statement
- Specializations
- Program Descriptions
- Prerequisites for Admission
- Application Requirements
- General Information
- Accelerated Bachelor’s–Master’s Degree Program
- Certificate Requirements
- Digital Signal Processing
- Electric Machines, Drives Controls
- Microwaves and Antennas
- Sensors and Smart Sensors System
- Electrical and Computer Engineering
- Electrical Computer Engineering
- Courses
Engineering
- Biomedical Engineering
- Civil Engineering
- Electrical and Computer Engineering
- Engineering Management
- Healthcare Technologies Management
- Mechanical Engineering
