Master of Science in Electrical and Computer Engineering

Master of Science in Electrical and Computer Engineering Program by the University of Arizona at UTC Global Tunisia


As technology evolves at an astounding pace, skilled engineers that can find innovative solutions to emerging problems – both in developing new ideas and improving old ones – will find themselves consistently in-demand in the global marketplace. The online Master of Science (M.S.) in Electrical and Computer Engineering is designed with the input of industry leaders and led by expert faculty to help you gain this critical skill-set and lead the way to a promising future.

Through the flexible, customizable curriculum, you’ll have the opportunity to focus your coursework on the areas of engineering that interest you most, from communications and signal processing to advanced computer systems and networks. You can choose to specialize in one of the following areas, completing a focused academic plan that suits your goals:

High-performance Computing
Digital Signal Processing, Communications, and Control
Computer Networks
Software Engineering and Artificial Intelligence
Detection and Estimation
Holography and Diffractive Optics
Simulation Modeling and Heterogeneous Systems Design
Wireless Communications and Networks

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Sample Courses

Wondering about the specific classes you can take in this program? See the course descriptions below

ECE 579 — Principles of Artificial Intelligence

Provides an introduction to problems and techniques of artificial intelligence (AI). Automated problem solving, methods and techniques; search and game strategies, knowledge representation using predicate logic; structured representations of knowledge; automatic theorem proving, system entity structures, frames and scripts; robotic planning; expert systems; implementing AI systems. Graduate-level requirements include additional assignments.

ECE 527 — Holography and Diffractive Optics

This course describes the nature of holographic and lithographically formed diffraction gratings and the tools necessary for their design and analysis. Course topics include a description of the interference and Fourier relations that determine the amplitude of diffracted fields, analysis of volume gratings, properties of holographic recording materials, computer generated holograms, binary gratings, analysis of applications of holography including data storage, imaging systems, photovoltaic energy systems, polarization control elements, and associative memories. We will also have a number of lab demonstrations fabricating holograms in a new type of photopolymer.

Course Requisites: OPTI 502, OPTI 505R or ECE 459 or ECE 559.

ECE 501B — Advanced Linear Systems Theory (3)

Mathematical fundamentals for analysis of linear systems. Maps and operators in finite and infinite dimensional linear vector spaces, metric spaces, and inner-product spaces. Introduction to representation theory. Eigensystems. Spectral theorems and singular value decomposition. Continuity, convergence, and separability. Sturm-Louisville theory.

Prerequisite(s): Graduate Standing or Permission of the Instructor


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