College of Engineering

MS in Electrical and Computer Engineering

The program prepares you to design, analyze, and build the systems behind modern computing, communications, sensing, and energy, with artificial intelligence woven throughout.

 

 

Master of Science in Electrical and Computer Engineering
Entry Terms Fall
Duration 2 years
Credits Required for Graduation 32

Overview

The MS in Electrical and Computer Engineering prepares students as highly skilled engineers with necessary skills to address future needs of industry, government, and humanity.

Available courses focus on innovative and exciting research areas ranging from the design, analysis, and optimization of high-performance computing systems, to the fabrication of cutting-edge microelectromechanical actuators to new research frontiers on smart power grids, metamaterials, biomedical signal processing, and communication systems.

Students at the Seattle campus can select from three concentrations:

Hardware and Software for Machine Intelligence

Students in the Hardware and Software for Machine Intelligence concentration will learn skills in developing MI systems that solve problems through hardware-software co-design of efficient real-time, high-performance, and distributed MI implementations with security and safety considerations.

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Computer Vision, Machine Learning, and Algorithms

The Computer Vision, Machine Learning, and Algorithms program prepares students to study image motion and tracking; algorithmic foundations of robotics; applications of parallel and high-performance algorithms; the human visual system and visual cognition; localization, mapping, and navigation; and clustering and regression analysis.

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Computer Systems and Software

Students in Computer Systems and Software concentration gain skills in microprocessor design, embedded systems, performance analysis, advanced computer system design, and operating systems. They often pursue careers including microprocessor design and verification, embedded hardware and software development, performance analysis and modeling, advanced computer system design, and operating system design.

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Objectives

The education objectives vary depending on the concentration you pursue.

Hardware and Software for Machine Intelligence

  • An ability to study engineering problems and to apply deterministic or statistical tools or techniques to efficiently produce computational, mathematical or physical models, or design experiments, for solving problems.
  • An ability to apply analytical or numerical methods to study the computational, mathematical or physical models, or if appropriate the results of experiments, to produce solutions or designs.
  • An ability to evaluate the efficiency or adequacy of the solutions using analytical, computational, or experimental techniques.

Computer Vision, Machine Learning, and Algorithms

  • An ability to study engineering problems and to apply deterministic or statistical tools or techniques to efficiently produce computational, mathematical or physical models, or design experiments, for solving problems.
  • An ability to apply analytical or numerical methods to study the computational, mathematical or physical models, or if appropriate the results of experiments, to produce solutions or designs.
  • An ability to evaluate the efficiency or adequacy of the solutions using analytical, computational, or experimental techniques.

Computer Systems and Software

  • An ability to study engineering problems and to apply deterministic or statistical tools or techniques to efficiently produce computational, mathematical or physical models, or design experiments, for solving problems.
  • An ability to apply analytical or numerical methods to study the computational, mathematical or physical models, or if appropriate the results of experiments, to produce solutions or designs.
  • An ability to evaluate the efficiency or adequacy of the solutions using analytical, computational, or experimental techniques.

Career Outlook

Demand for computer engineers has increased dramatically in recent years. Computer engineers study computer architecture, software engineering, computer-aided design, microprocessor-based design, applied algorithms, and more. Students with a strong background in computer engineering are aggressively recruited by cutting-edge computer companies nationwide.

Students with an electrical engineering degree are aggressively recruited by employers across the country, and the demand for electrical engineers is expected to increase in the next decade. Whether you want to work in chip fabrication, robotics, the wireless Internet of Things, or radar system development, you can expect to find a wide range of employment opportunities throughout your career.

Tuition

$47,448 

This tuition estimate is inclusive of a 25% scholarship for all students admitted for the 2026-2027 academic year. This scholarship is not transferable to alternative programs of study, terms or campuses outside of the Seattle campus. 

Additional scholarships may be available based on academic merit and other qualifying factors. Select scholarships may be stacked up to 50%. 

This is an estimate based on the tuition rates for Academic Year 2026-2027 and does not include any fees or other expenses. Some courses and labs have tuition rates that may increase or decrease total tuition. Tuition and fees are subject to revision by the president and Board of Trustees at any time. Find detailed information on tuition and fees from Student Financial Services. 

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