Master of Science in Electrical Engineering

University of Texas Arlington

Program Description

Master of Science in Electrical Engineering

University of Texas Arlington

The course offerings provide the student with an opportunity to broaden and intensify his or her knowledge in a number of areas of electrical engineering. The student, with the aid of a faculty adviser, may plan a program in any one of a number of fields of specialization within electrical engineering or from the offerings of related departments in science and engineering.

Graduate study and research are offered in the areas of:

  1. Digital and Microprocessor/Controller Systems
  2. Solid-State Devices, Circuits and Systems
  3. Systems and Controls
  4. Electromagnetic Fields and Applications
  5. Digital Signal and Image Processing
  6. Telecommunications and Information Systems
  7. Power Systems
  8. Optical Devices and Systems
  9. Nanotechnology and MEMS - Materials and Devices
  10. Renewable Energy Systems and Vehicular Technology

The program is designed to provide for the student seeking to increase knowledge in areas of electrical engineering related to engineering practice. The courses offered will provide practicing engineers with advanced, up-to-date education in electrical engineering.


Technical Areas, Courses, and Technical Proficiency Courses

MSEE students must take courses from three technical areas. Non-thesis students must take one technical proficiency course from each of three areas, and earn at least a 3.3 GPA in those three courses.

Digital and Microprocessor/Controller Systems

Courses

  • EE 5313 Microprocessor Systems
  • EE 5314 Embedded Microcontroller Systems
  • EE 5315 DSP Microprocessors
  • EE 6313 Advanced Microprocessor Systems
  • EE 6314 Advanced Embedded Microcontroller Systems

Technical Proficiency Courses

  • EE 5313 Microprocessor Systems
  • Approved Substitution: EE

Solid State Devices, Circuits, and Systems

Courses

  • EE 5305 Advanced Electronics
  • EE 5310 Digital VLSI Design
  • EE 5311 VLSI Signal Processing Architectures
  • EE 5312 CMOS RFIC Design
  • EE 5316 CMOS Mixed-Signal IC Design
  • EE 5317 Advanced Digital VLSI Design
  • EE 5318 Analog CMOS IC Design
  • EE 5340 Semiconductor Device Theory
  • EE 5341 Fundamentals for Semiconductor Devices
  • EE 5342 Semiconductor Device Modeling and Characterization
  • EE 5346 Microwave Devices
  • EE 5347 Microwave Circuits
  • EE 5348 Radio-Frequency Circuit Design
  • EE 6318 Advanced Analog VLSI Systems
  • EE 6341 Feedback AMPL

Technical Proficiency Courses

  • EE 5305 Advanced Electronics
  • EE 5310 Digital VLSI Design
  • EE 5340 Semiconductor Device Theory
  • EE 5341 Fundamentals for Semiconductor Devices
  • Approved Substitution: EE

Systems and Controls

Courses

  • EE 5301 Advanced Engineering Analysis
  • EE 5303 Engineering Management
  • EE 5304 Network Synthesis
  • EE 5307 Linear Control Systems Theory
  • EE 5320 Control System Design
  • EE 5321 Optimal Control
  • EE 5322 Intelligent Control Systems
  • EE 5323 Nonlinear Systems
  • EE 5324 Design of Digital Control Systems
  • EE 5325 Robotics
  • EE 5326 Fuzzy Logic
  • EE 5328 Instrumentation and Measurement

Technical Proficiency Courses

  • EE 5307 Linear Control Systems Theory
  • EE 5320 Control System Design
  • EE 5328 Instrumentation and Measurement
  • Approved Substitution: EE

Electromagnetic Fields and Applications

Courses

  • EE 5306 Electromagnetic Theory
  • EE 5331 Microwave Systems Engineering
  • EE 5332 Antenna System Analysis
  • EE 5333 Wave Propagation and Scattering
  • EE 5334 Fundamentals of Radar Remote Sensing
  • EE 5335 Fundamentals of Radar Imaging
  • EE 5337 Theory and Labs of Microwave Measurements
  • EE 5338 Computational Methods in Electrical Engineering

Technical Proficiency Courses

  • EE 5306 Electromagnetic Theory
  • EE 5331 Microwave Systems Engineering
  • Approved Substitution: EE

Digital Signal and Image Processing

Courses

  • EE 5302 Random Signals and Noise
  • EE 5350 Digital Signal Processing
  • EE 5351 Digital Video Coding
  • EE 5352 Statistical Signal Processing
  • EE 5353 Neural Networks
  • EE 5354 Wavelets and Filter Banks
  • EE 5355 Discrete Transforms and their Applications
  • EE 5356 Digital Image Processing
  • EE 5357 Statistical Pattern Recognition
  • EE 5358 Computer Vision
  • EE 6356 Image and Video Coding

Technical Proficiency Courses

  • EE 5302 Random Signals and Noise
  • EE 5350 Digital Signal Processing
  • EE 5356 Digital Image Processing
  • Approved Substitution: EE

Telecommunications and Information Systems

Courses

  • EE 5360 Data Communication Engineering
  • EE 5361 Fundamentals of Telecommunication Systems
  • EE 5362 Digital Communications
  • EE 5363 Telecommunication Systems
  • EE 5364 Information Theory and Coding
  • EE 5365 Fiber Optic Transmission Systems
  • EE 5366 Communication Satellite Systems
  • EE 5367 Wireless Systems and Propagation Modeling
  • EE 5368 Wireless Communication Systems
  • EE 6362 Advanced Digital Communications
  • EE 6363 Spread Spectrum Communication
  • EE 6364 Advanced Data Networks
  • EE 6365 Advanced Fiber Optics Systems
  • EE 6367 Advanced Wireless Communications
  • EE 6368 Simulation of Communication Systems

Technical Proficiency Courses

  • EE 5360 Data Communication Engineering
  • EE 5362 Digital Communications
  • Approved Substitution: EE

Power Systems

Courses

  • EE 5308 Power System Modeling and Analysis
  • EE 5371 Power System Transmission I
  • EE 5372 Congestion Management
  • EE 5373 Unbundling Services of a Deregulated Power System
  • EE 5374 Power System Protective Relaying
  • EE 5375 Power System Distribution
  • EE 5376 Power System Reliability in Planning and Operation
  • EE 5377 Programmable Logic Controllers in Industrial Automation
  • EE 5378 Power Quality
  • EE 6372 High Voltage Engineering

Technical Proficiency Courses

  • EE 5308 Power System Modeling and Analysis
  • EE 5371 Power System Transmission I
  • Approved Substitution: EE

Optical Devices and Systems

Courses

  • EE 5380 Principals of Photonics and Optical Engineering
  • EE 5382 Optical Detectors and Radiation
  • EE 5383 Solar Electricity & Photovoltaics
  • EE 5384 Optoelectronic Devices for Communication
  • EE 5385 Nonlinear Optics
  • EE 5386 Integrated Optics
  • EE 5387 Fourier Optics and Holography
  • EE 5388 Lasers

Technical Proficiency Courses

  • EE 5380 Principals of Photonics and Optical Engineering
  • EE 5386 Integrated Optics
  • Approved Substitution: EE

Nanotechnology and MEMS - Materials and Devices

Courses

  • EE 5343 Silicon IC Fab Technology
  • EE 5344 Introduction to MEMS
  • EE 5345 Introduction to Bio-Nanotechnology
  • EE 5381 Foundations in Semiconductors
  • EE 6342 Advanced Quantum Devices
  • EE 6343 Quantum Well Lasers
  • EE 6344 Nanosystems and Quantum Electronic Devices
  • EE 6345 Advanced MEMS -- Microelectromechanical Systems

Technical Proficiency Courses

  • EE 5343 Silicon IC Fab Technology
  • EE 5344 Introduction to MEMS
  • EE 5381 Foundations in Semiconductors
  • Approved Substitution: EE

Renewable Energy Systems and Vehicular Technology

Courses

  • EE 5309 Grid-Integration of Renewable Energy Systems
  • EE 5309 Renewable Energy Systems
  • EE 5309 Electric Motor Drive
  • EE 5309 Hybrid Electric Drive
  • EE 6375 Power Electronics Engineering

Technical Proficiency Courses

  • EE 6375 Power Electronics Engineering


Admission Requirements

The admission process considers all of the application material including official transcripts, GRE and TOEFL or IELTS scores. No single objective factor is used to finalize the decision for admission or to deny admission. It is expected that an applicant has a background in such areas as linear systems, dc and ac electronics circuits, static and dynamic electromagnetic fields, microprocessors, among the courses completed in a typical electrical engineering curriculum. Students with a BS in other fields are encouraged to apply, but they may be required to remedy a lack of required EE courses by taking some undergraduate EE courses. An attempt will be made to match the technical aspirations of the potential graduate students with the departmental resources in order to provide a stimulating academic environment for the students and their graduate education.

Criteria concerning (1) unconditional admission, (2) provisional admission, (3) probationary admission, (4) deferred admission, (5) denial of admission, and (6) fellowship, are given below.

  1. Admission with Unconditional Status: A typical applicant who is "admitted" will have met the following admission requirements.
    • The minimum undergraduate GPA requirement
      • For MSEE admission 3.25 (on a 4.0 scale) based on upper division coursework (junior and senior level or equivalent)
    • The relevance of the student’s undergraduate degree (background) to the EE curriculum.
    • Rigor of the student’s Bachelor’s degree.
    • Reputation of the University/College that the student received his/her previous degrees
    • GRE scores of at least the following:
    • Quantitative score
      = 720 (new scale: 156) for M.S.
      or
      = 750 (new scale: 159) for Ph.D.
    • Verbal score = 400 (new scale: 146)
    • Analytical Writing = 3 for M.S. or =3.5 for Ph.D
    • For an International student, an additional requirement beyond those stated above:
      The applicant must meet the minimum university English language requirements as detailed in the general admission requirements section of the catalog. However, meeting the minimum requirement does not guarantee admission. The program will give preference to students with a TOEFL score of 83 for the internet based test, with a minimum of 19 in each of the four categories. Alternatively, IELTS scores of 6.5 in all categories will be viewed similarly.
  2. Admission with Provisional status: An applicant unable to supply all required official documentation prior to the admission deadline, but whose available documentation otherwise appears to meet admission requirements may be granted provisional admission.
  3. Admission with Probationary status: An applicant whose undergraduate courses do not cover the breadth required for an MS student.
  4. Deferred status: A deferred decision may be granted when a file is incomplete.
  5. Denied Status: An applicant that does not meet categories 1, 2, 3 or 4 above will be denied admission.
  6. Fellowships: Award of a fellowship will be based on the criteria required by the sponsoring agency (including the graduate school) on a competitive basis.


Degree Requirements

Master's degree requirements are described in the general graduate catalog section titled Requirements for the Master's Degree/Degree Plans and Hours Required. The MSEE degree options available are thesis option, thesis substitute option, and non-thesis option. The courses taken for all degrees must be distributed over three of the areas given in the Objective section. The MSEE program of work in electrical engineering may include up to nine graduate-level semester hours of supporting courses outside the Electrical Engineering Department in math, science, and engineering. The graduate advisor must approve supporting courses that are permitted on a degree plan. The courses approved outside electrical engineering may be used in lieu of one of the three distribution areas.

The non-thesis option requires 30 semester hours. EE 5391 may not be used to satisfy course requirements in either the thesis or thesis-substitute degree plans. EE 5391 may be used one time as part of the non-thesis degree plan. EE 5191 may not be used toward the MSEE degree.


Tuition and Fees

Fall 2018 Graduate Nonresident Tuition and Fees

Fall 2018 Graduate Resident Tuition and Fees


International students will want to submit financial documents/statements as they also submit application materials for admission.

International financial statement form


Our application priority dates are:

Fall: March 15
Spring: October 15
Summer: April 1


Applications are accepted after the published priority date for each term, but for guaranteed consideration of admission please submit the application and associated materials by the priority date. However, it is important to apply well in advance of your intended start date to be eligible for program-specific funding opportunities such as assistantships and fellowships. Keep in mind that departmental application processing times vary greatly and some programs require applications up to one year in advance.

This school offers programs in:
  • English


Last updated August 30, 2018
Duration & Price
This course is Campus based
Start Date
Start date
Jan. 14, 2019
Aug. 2019
Duration
Duration
2 - 3 semesters
Part time
Full time
Price
Price
10,126 USD
$10,126 per semester for non-residents (taking 9 hours per semester). $4,577 per semester for non-residents (taking 9 hours per semester).
Information
Deadline
Request Info
application priority deadline
Locations
USA - Arlington, Texas
Start date : Jan. 14, 2019
Application deadline Request Info
application priority deadline
End date Dec. 12, 2019
Start date : Aug. 2019
Application deadline Request Info
application priority deadline
End date May 10, 2019
Dates
Jan. 14, 2019
USA - Arlington, Texas
Application deadline Request Info
application priority deadline
End date Dec. 12, 2019
Aug. 2019
USA - Arlington, Texas
Application deadline Request Info
application priority deadline
End date May 10, 2019
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