M.S. in Electrical Engineering

Program Director

Wenbin Luo, Ph.D.

The Master of Science in Electrical Engineering program at St. Mary’s University prepares students for rewarding careers in the field of electrical and electronics engineering. Graduates acquire a strong background in theoretical and applied principles of analysis, design, and implementation of electrical, electronics, and computer-controlled systems. The Electrical Engineering program offers a variety of courses with focus in the following areas: control systems, communication, signal and image processing. The Electrical Engineering program at St. Mary’s University provides students with flexible curriculum that integrates new developments in the field of electrical and electronics engineering.

Admission Requirements

  • Applicants must have a Bachelor of Science degree in engineering or a closely related discipline such as physics or mathematics. The graduate program director will evaluate applicants from other disciplines on an individual basis.
  • Have a minimum Grade Point Average (GPA) of 3.00 (A = 4.00) for their bachelor’s degree.
  • We do not require GRE scores from the applicants.
  • International students must submit TOEFL, IELTS, or Duolingo scores. Students who do not meet minimum language proficiency requirements may apply to the St. Mary’s Intensive English Program (IEP) and be considered for admission upon successful completion of the IEP. See below for the score requirements for each test.
  • Submit a completed application form, a resume, a written statement of purpose indicating the applicant’s interests and objectives, two letters of recommendation concerning the applicant’s potential for succeeding in the graduate program, and official transcripts of all college level work.

Applicants who fail to meet any of the above requirements may be admitted on a conditional status. The Graduate Program Director will evaluate these cases on an individual basis.

International Students

  • International students must submit the TOEFL scores and show a minimum of 80 in the Internet-based test or 213 in the computer-based test or 550 in the paper-based test.
  • As an alternative to the TOEFL, International Student can take the IELTS test and show a minimum score of 6.5 or better. A score of 6.0 is acceptable with the provision that the student takes EN6301 during the first semester at St. Mary’s University. No student will be admitted with score lower than 6.0 in the IELTS test.
  • A third option for an international student is a Duolingo English test score of 105 or above.

Prerequisites

Courses
EG 2141
EG 2152
EG 2341Fundamentals of Logic Design3
EG 2352
EG 2353
EG 3372
MT 2412Calculus I4
MT 2413Calculus II4

Degree Requirements

Non-Thesis/Project Option

Engineering Courses Required
EG 6308Random Variables and Stochastic Processes3
EG 6350Digital Signal Processing I3
EG 6365Automatic Control Systems3
EG 6367Communication Systems3
EG 8396Capstone Project3
Engineering Electives
Select 15 credit hours from the following:15
Wireless Communications
Data Mining
Software Engineering
Wireless Security
Special Topics
Digital Control Systems
Computer Networking
Optical Communications
Digital Signal Processing II
Computer Vision and Pattern Recognition
Cryptography Principles and Practices
Parallel Processing
Computer Architecture
Neural Networks
Microprocessors
Microcomputer Interfacing
Engineering Problem Solving
Data Acquisition, Presentation, and Analysis
Digital Systems Design Using VHDL
Network Programming
Fault Tolerant Computing
Internship
Internship
Internship
Total Semester Hours30

Thesis Option

Engineering Courses Required
EG 6308Random Variables and Stochastic Processes3
EG 6350Digital Signal Processing I3
EG 6365Automatic Control Systems3
EG 6367Communication Systems3
EG 8390Thesis I3
EG 8391Thesis II3
Engineering Electives
Select 12 credit hours from the following:12
Wireless Communications
Data Mining
Software Engineering
Wireless Security
Special Topics
Digital Control Systems
Computer Networking
Optical Communications
Digital Signal Processing II
Computer Vision and Pattern Recognition
Cryptography Principles and Practices
Parallel Processing
Computer Architecture
Neural Networks
Microprocessors
Microcomputer Interfacing
Engineering Problem Solving
Data Acquisition, Presentation, and Analysis
Digital Systems Design Using VHDL
Network Programming
Fault Tolerant Computing
Internship
Internship
Internship
Total Semester Hours30