Program Overview

Electrical Engineering Master's

Program Overview

The Master of Science (M.S.) in Electrical Engineering is a research-oriented program that provides students with a broad background in electrical engineering, preparing them for future specialization. The program is designed to be completed in two years and consists of 30 credit hours.

Program 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.

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

Career Opportunities

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.

Sample Courses

• Systems Modeling and Simulation (3 hrs)
• Design and Testing of Digital Systems (3 hrs)
• Analog Integrated Circuit Design (3 hrs)
• Digital Signal Processing (3 hrs)
• Digital Communications (3 hrs)
• Control Systems Design (3 hrs)

Research Areas

• Artificial intelligence
• Coding theory
• Speech-driven facial animation
• Very-large-scale integration design
• 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.