Male student fixing equipment in a lab.

Powering electrical engineering innovation

U.S. News & World Report ranks School of Electrical and Computer Engineering No. 1 for best online master’s in electrical engineering.

Bold ideas begin here

Electrical engineers are at the forefront of innovation, designing systems that impact everything from renewable energy and healthcare to aerospace and microelectronics.

Spark your career

In the U.S., electrical engineers earn a median salary of $103,320, and in Arizona, the median salary is $99,070 — a reflection of the increasing demand for skilled professionals in our region.

Career growth you can count on

The field is projected to grow 4 to 7% through 2032, with even greater potential in Arizona thanks to the surge in microelectronics manufacturing. Arizona is becoming a hub for advanced technology, opening doors to new and exciting career paths.

Occupational Information Network (O*NET) under sponsorship of the U.S. Department of Labor/Employment and Training Administration (USDOL/ETA).

An ASU professor and student stand side by side in a lab. The student holds a small object between his thumb and forefinger that they both look at, smiling.

Learning beyond the classroom

Join a student organization to build friendships, develop career skills, serve your community and have a lot of fun along the way!

Address real-world challenges and build expertise through undergraduate and graduate research.

Latest news

  • 2 engineering faculty elected NAI fellows

    2 engineering faculty elected NAI fellows

    Faculty members from the Fulton Schools were elected into the National Academy of Inventors for their contributions in microelectronics and bioremediation.

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  • Unlocking the next generation of solar energy

    Unlocking the next generation of solar energy

    Named a 2025 Breakthrough Energy Fellow, ASU startup Beyond Silicon is advancing tech designed to scale clean energy worldwide.

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  • Programming to predict the unpredictable

    Programming to predict the unpredictable

    ASU researchers have developed a new method that trains machine learning algorithms to predict ecosystem behavior.

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