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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
Required courses:
Students select 6 graduate courses (18 credits) from the Electrophysics course list.
Controls, Robotics, Intelligent Systems
Required courses:
""
ECES 511 Fundamentals in Systems I 3.0
""
ECES 512 Fundamentals in Systems II 3.0
""
ECES 521 Probability and Random Variables 3.0
""
ECES 522 Random Process and Spec Analysis 3.0
""
""
In addition, students must take 3 controls engineering courses from the Electrical and Computer Engineern Systems (ECES) course list.
Power Engineering
Required courses:
ECEP 501 Power System Analysis 3.0
ECEP 502 Computer Analysis Power Systems 3.0
ECEP 503 Synchronous Machine Modeling 3.0
Students select an additional sequence from the following:
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
Signal/Image Processing
Required courses:
ECES 521 Probability and Random Variables* 3.0
ECES 522 Random Process and Spec Analysis 3.0
ECES 523 Detection and Estimation Theory 3.0
ECES 631 Fundamentals of Deterministic Digital Signal Processing
3.0
ECES 682 Fundamentals of Image Processing 3.0
*Students having a background in this topic will not be required to take ECES 521. Instead, students an choose another 3 credit elective course.

 

 Modified: Sep 29, 2008  

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