Program type:


On Campus
Est. time to complete:

2 years
Credit Hours:

Light up your career path with one of the Best Master's in Electrical Engineering Degree Programs for research facilities according to
Research is pivotal for graduate students in electrical engineering, and here at UNT, you'll have research opportunities that you won't be able to find at many other schools. Obtaining your Master of Science in Electrical Engineering can be your doorway to more success, both now and in the future, as an academic researcher and professional engineer.

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Why earn a degree in Electrical Engineering?

With small class sizes, you'll work closely with distinguished faculty members to solve complex problems faced by government, businesses and consumers. You also can take advantage of the invaluable contacts we've developed with leading companies and corporate partners.

Our cutting-edge courses and research areas range from artificial intelligence and coding theory to speech-driven facial animation and very-large-scale integration design.

You can engage in advanced high-tech collaborative research supported by grants from the National Science Foundation, NASA, the U.S. Army Research Laboratory and others in the industry.

Marketable Skills
  • Formulate and solve engineering problems
  • Design and conduct research experiments
  • Research data collection and analysis
  • Use modern engineering tools
  • Technical report writing and communication

Electrical Engineering Master's Highlights

Graduates will attain a broad background in Electrical Engineering that provides them with a number of choices for future specialization.
Engineering classes and research are conducted at Discovery Park, a 300-acre research facility that brings together laboratories, offices and classrooms to maximize the potential for creativity, collaboration and technological innovation.
The department houses several state-of-the-art instructional and research laboratories that provide practical and advanced hands-on experiences.
Graduates will have experience in project-based learning and hence will be ready to engage in high-tech careers upon their graduation.
Graduates will achieve master's level proficiency in Electrical Engineering subjects that include digital and analog circuit design, adaptive and statistical signal processing, coding theory and communications, control system design, computer vision and image analysis, RF and Electromagnetics, and VLSI and embedded systems.
Thesis and Non-Thesis options are available to suit your learning style.

What Can You Do With A Degree in Electrical Engineering?

With up to 100% job placement rate in academia, industry and research organizations, our graduates are employed in various sectors such as high-tech, energy, defense, finance, transportation and government.

Electrical Engineering Master's Courses You Could Take

Systems Modeling and Simulation (3 hrs)
This course aims to systematically introduce the concepts and analytical tools required to abstract engineering problems from applications and to simulate and analyze such problems. Topics include dynamical systems modeling, stochastic models, queuing models, Markov chains, model identification, Monte-Carlo simulation, model reduction, agent-based modeling, large-scale networks and applications to ecological, biological and modern infrastructure systems.
Design and Testing of Digital Systems (3 hrs)
Topics include review of combinational logic, testing combinational circuits, sequential circuit synthesis, state minimization, state assignment and structure of sequential circuits; state identification and fault detection experiments; and testing of sequential circuits and design for testability.
Analog Integrated Circuit Design (3 hrs)
This course thoroughly investigates the fundamentals in design and analysis of analog and mixed-signal integrated circuits. Topics include analog MOS transistor models, current sources and sinks, circuit reference, amplifier, feedback amplifiers, differential amplifiers and operational amplifiers.
Digital Signal Processing (3 hrs)
This course is an introduction to modern digital signal processing theory and techniques and includes discrete time signals and systems, sampling theorem, Z-transform, frequency analysis of signals and systems, discrete Fourier transform, fast Fourier transform algorithms and digital filter design.
Digital Communications (3 hrs)
This course is an introduction to the analysis and design of digital communication systems and includes decision theory, signal space, optimal receivers, modulation schemes, error performance, inter-symbol interference, fading channels, spread spectrum and link budget analysis.
Control Systems Design (3 hrs)
Students will transform domain and state space representations of linear feedback systems, system stability, nonlinear systems, optimal control, bounded and time optimal control of linear systems.

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