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Master of Science
in Electrical Engineering
A total of 45 approved graduate credits are required
for the degree of Master of Science in Electrical Engineering. Appropriate
courses in other graduate departments of engineering, science or mathematics
may be included in these credits. However, a minimum of 30 credits must
be taken in the Department of ECE at Drexel University to receive an MSEE. Students who participate
in the Graduate Co-op Program (GCP) must complete 48 approved credits,
including 6 credits of GCP.
For more information on curriculum requirements, visit the Department
of Electrical and Computer Engineering's Graduate
Student Guide.
- Please note that ECEC 500 and ECEC 600 will not count toward the 45 required credits.
Plan of Study
Before the end of the first quarter in the ECE department, for a full-time
student, or by the end of the first year for a part-time student, the
student must file a plan of study with the graduate advisor.
Core Courses
Core courses present the subject matter that is basic to each curricular
area. They are prerequisite to the more specialized courses. The core
requirements for the various specialties are listed below:
| Electrophysics | ||||
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| Required courses: | ||||
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| Students select 6 graduate courses (18 credits) from the Electrophysics course list. | ||||
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| Controls, Robotics, Intelligent Systems | ||||
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| Required courses: | ||||
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| ECES 511 | Fundamentals in Systems I | 3.0 | ||
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| ECES 512 | Fundamentals in Systems II | 3.0 | ||
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| ECES 521 | Probability and Random Variables | 3.0 | ||
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| ECES 522 | Random Process and Spec Analysis | 3.0 | ||
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| In addition, students must take 3 controls engineering courses from the Electrical and Computer Engineern Systems (ECES) course list. | ||||
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| Power Engineering | ||||
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| Required courses: | ||||
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| ECEP 501 | Power System Analysis | 3.0 | ||
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| ECEP 502 | Computer Analysis Power Systems | 3.0 | ||
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| ECEP 503 | Synchronous Machine Modeling | 3.0 | ||
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| Students select an additional sequence from the following: | ||||
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| ECES 511 | Fundamentals in Systems I | 3.0 | ||
| ECES 512 | Fundamentals in Systems II | 3.0 | ||
| or | ||||
| ECES 521 | Probability and Random Variables | 3.0 | ||
| ECES 522 | Random Process and Spec Analysis | 3.0 | ||
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| Signal/Image Processing | ||||
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| Required courses: | ||||
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| ECES 521 | Probability and Random Variables* | 3.0 | ||
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| ECES 522 | Random Process and Spec Analysis | 3.0 | ||
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| ECES 523 | Detection and Estimation Theory | 3.0 | ||
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| ECES 631 | Fundamentals of Deterministic Digital
Signal Processing |
3.0 | ||
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| ECES 682 | Fundamentals of Image Processing | 3.0 | ||
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| *Students having a background in
this topic will not be required to take ECES 521. Instead, students
an choose another 3 credit elective course. |
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