Electrical Engineering and Computer Science

Master of Science, Electrical Engineering

Program Overview

The Master of Science in Electrical Engineering program integrates theory and applications. Courses are typically scheduled in the late afternoon and early evening to serve the needs of both full-time and part-time students. The program is suitable for students planning to continue their studies at the doctoral level, as well as those who do not plan formal studies beyond the master's degree. Each student plans a program of study in consultation with an advisor appointed by the Department of Electrical Engineering and Computer Science. The program includes required courses and an integrated selection of courses in the student's field of interest. The following areas of specialization are offered for graduate study and research:

  • Communication Systems
  • Computer Systems
  • Control Systems
  • Power Electronics and Power Systems
  • Nanobiotechnology

 

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Contact Info

Application and admission questions: Dr. Wenbing Zhao, Graduate Program Director

 

Admission Requirements

Admission to the graduate program in electrical engineering is open to qualified students with baccalaureate degrees in engineering or science. A minimum baccalaureate grade-point average of 2.75 is required, but this minimum score does not guarantee admission. Applicants should make arrangements to have official transcripts sent directly from their undergraduate institutions to the Graduate Admissions Office. Two letters of recommendation from individuals familiar with the student's undergraduate or graduate work also are required.

The GRE General section is required if one or more of the following conditions is true:

  • The undergraduate degree was awarded by a college or university outside of the United States or Canada, or by a Canadian institution not accredited by the Canadian Engineering Accreditation Board of the Canadian Council of Professional Engineers.
  • The undergraduate degree was in a discipline unrelated to electrical or computer engineering.
  • The student's undergraduate cumulative grade-point average is below 3.0.
  • The year of the baccalaureate degree precedes the date of application to the College of Graduate Studies by more than six years.

If the GRE is required, a minimum score on the Quantitative Reasoning section of the 60th percentile is required, but this minimum score does not guarantee admission.

For applicants whose native language is not English, a TOEFL score of at least 550 on the paper-based exam, 78 on the Internet exam (including at least 20 in reading, 21 in listening, 17 in writing, and 20 in speaking), 6.0 on the IELTS exam, 5.0 on the iTEP exam, or 213 on the computer-based exam, is required.  Students who do not satisfy these requirements, but who do satisfy the University's TOEFL requirements, will be tested upon arrival at CSU by the English as a Second Language Program.  Depending on test results, students may be required to take a writing (ESL 502) and/or speaking (ESL 503) course.

There is a preparatory program designed for students without a sufficient background in electrical engineering.

Preparatory Program

Graduate students who do not have an undergraduate degree in Electrical Engineering or Computer Engineering must complete the following courses with a grade of B or better. This program is intended to prepare students for graduate courses in electrical engineering. Students who previously earned a grade of B or better in an equivalent course can have the corresponding requirements waived with prior authorization by the program.

  • Bachelor Graduate other than Engineering or Computer Science
    • ESC 250
    • EEC 310
    • EEC 311
    • EEC 313
    • EEC 383
    • One of the following courses:
      • EEC 440, or
      • EEC 450, or
      • EEC 470, or
      • EEC 487
  • Bachelor Graduates in Electronic Technology
    • ESC 250
    • EEC 311
    • One of the following courses:
      • EEC 440, or
      • EEC 450, or
      • EEC 470, or
      • EEC 487
  • Bachelors in Engineering (not Electrical Engineering or Computer Engineering)
    • EEC 311
    • EEC 313
    • EEC 383
    • One of the following courses:
      • EEC 440, or
      • EEC 450, or
      • EEC 470, or
      • EEC 487
  • Bachelor Graduate in Computer Science
    • EEC 311
    • EEC 383
    • One of the following courses:
      • EEC 440, or
      • EEC 450, or
      • EEC 470, or
      • EEC 487


Note(s)
In addition, EEC 361 is required for all MSEE students (including graduates of our own BCE program) except for students specializing in Computer Engineering. Prior to satisfactory completion of the entire Preparatory Program, no course may be taken toward the fulfillment of the graduate degree program unless authorized by the academic/research advisor.
 

Degree Requirements

Students in the MS in Electrical Engineering program may elect a thesis option or a non-thesis option. All students, and particularly those intending to pursue a doctoral degree, are encouraged to select the thesis option.  Students who receive research funding are required to complete the thesis option.
Each student in the program must meet all College of Graduate Studies requirements and the following departmental requirements.

All students:

  1. A maximum of 16 credit hours (nanobiotechnology specialization) or eight credit hours (all other specializations) of graduate course work from outside the department may be applied toward the degree.  All out-of-department courses must count toward a graduate degree in the offering department and must be approved in advance by the student's advisor.
  2. The seminar course EEC 601 and 400-level courses may not be applied for credit toward the MSEE degree.
  3. Students must take at least four course subjects from their area of specialization including its core course(s).

Thesis Option:

  1. A minimum of 30 total credit hours, including at least six credit hours of thesis, and at least 24 credit hours of course work. The course work must include at least eight credit hours of 600-level EEC courses.
  2. Successful completion and defense of a thesis. A graduate committee guides the thesis work.
  3. Thesis students must give an oral presentation of the thesis.  

Non-thesis Option:
A minimum of 32 total credit hours, including at least twelve credit hours of 600-level EEC courses.

CPT Students:
In addition to the credit hour requirements specified above, students who take curricular practical training (CPT) are required to take 1 credit hour of EEC 602 for each internship semester.

Communication Systems

Core Courses

  • EEC 512 Probability & Stochastic Processes
  • EEC 651 Digital Communications

Elective Courses

  • EEC 530 Digital Signal Processing
  • EEC 560 Engineering Electromagnetics
  • EEC 650 Signal Detection And Estimation
  • EEC 652 Error Control Coding
  • EEC 653 Information Theory
  • EEC 654 Mobile Communications
  • EEC 655 Satellite Communications

Control Systems

Core Courses

  • EEC 510 Linear Systems
  • EEC 512 Probability & Stochastic Processes

Elective Courses

  • EEC 512 Probability & Stochastic Processes
  • EEC 517 Embedded Systems
  • EEC 542 The Art and Science of Feedback Control
  • EEC 640 Advanced Control System Design
  • EEC 642 System Identification
  • EEC 643 Nonlinear Systems
  • EEC 644 Optimal Control Systems
  • EEC 645 Intelligent Control Systems
  • EEC 646 Dynamics and Control of MEMS
  • EEC 647 Robot Dynamics and Control

Power Electronics and Power Systems

Core Courses

  • EEC 571 Power Systems
  • EEC 574 Power Electronics II

Elective Courses

  • EEC 510 Linear Systems
  • EEC 560 Engineering Electromagnetics
  • EEC 561 Electromagnetic Compatibility
  • EEC 640 Advanced Control System Design
  • EEC 643 Nonlinear Systems
  • EEC 644 Optimal Control Systems
  • EEC 670 Power Systems Operations
  • EEC 671 Power Systems Control
  • EEC 673 Power Electronics and Electric Machines

Computer Systems

Courses

  • EEC 581 Computer Architecture
  • EEC 584 Computer Networks

Elective Courses

  • EEC 517 Embedded Systems
  • EEC 521 Software Engineering
  • EEC 580 Modern Digital Design
  • EEC 587 Rapid Digital System Prototyping
  • EEC 622 Formal Methods in Software Engineering
  • EEC 623 Software Quality Assurance
  • EEC 624 Software Testing
  • EEC 625 Software Design & Architecture
  • EEC 680 High Performance Computer Architecture
  • EEC 681 Distributed Computing Systems
  • EEC 683 Computer Networks II
  • EEC 684 Parallel Processing Systems
  • EEC 687 Mobile Computing
  • EEC 688 Secure and Dependable Computing

Nanobiotechnology

Core Courses

  • EEC 514 Introduction to Nanotechnology
  • EEC 515 Biosensors, Bioelectronics and BioMEMS

Elective Courses

  • EEC 646 Dynamics and Control of MEMS
  • EEC 660 Nanoscale Solid State Electronics
  • PHY 515 Intro to Biological Physics
  • PHY 680 Physics of Materials
  • BME 553 Cell and Tissue Biology
  • BME 655 Biomaterials
  • BME 658 Medical Device Design
  • CHE 504 Advanced Reactor Design
  • CHE 566 Biochemical Engineering
  • CHE 578 Introduction to Molecular Simulation
  • CHE 586 Fundamentals Of Polymers
  • CHE 605 Advanced Kinetics
  • CHM 502 Biochemistry I
  • CHM 503 Biochemistry II
  • CHM 511 Advanced Instrumental Analysis
  • CHM 516 Advanced Instrumental Analysis Laboratory
  • CHM 611 Special Topics In Analytical Chemistry
  • CHM 613 Advanced Electroanalytical Chemistry
  • CHM 625 Quantum Mechanics
  • BIO 504 Biological Chemistry

 

Financial Assistance

The Department of Electrical Engineering and Computer Science offers a number of research and teaching assistantships and graduate tuition grants. In addition, internships sponsored by the NASA Glenn Research Center and General Electric, and fellowships awarded by the Ohio Space Grant Consortium are available.

 

Research

The members of the Electrical Engineering and Computer Science faculty are engaged in research in a number of areas suitable for student theses and dissertations. These include computer architectures, reconfigurable computing systems, computer communication networks, bandwidth and power-efficient modulation schemes, error-control coding, multi-carrier communications, spread-spectrum systems, mobile communication systems, robust communications, power systems operation and control, power electronics and motor drives, system identification, advanced control algorithms, and intelligent control systems. Results of research in these areas are published regularly in refereed journals, such as Transactions of IEEE and IEE Proceedings, and are presented at scholarly conferences and symposia.

 

Quick links

Catalog Data - Plan of Study - Preparatory Program