Department of Electrical and Computer Engineering

Join Us in Empowering the Future.

Electrical and Computer Engineering traditionally includes circuits and electronics, telecommunications, power, and controls. Today, ECE graduates also lead projects in audio, optics, machine learning, biomedical imaging, and nanotechnology; they explore new frontiers in robotics, self-driving cars, Internet of Things, nanotechnology, cybersecurity, wearable electronics, wireless, computer chips, and renewable energy technologies.

What is Electrical and Computer Engineering?

Electrical and Computer Engineers are essential to countless industries: no car can be driven today without the sophisticated sensing, embedded computing and smart electronics developed by us. Medicine today would be unthinkable without the biomedical imaging and health informatics technologies we create within the electrical and computer engineering field. No home today could provide the comfort of modern living without the electrical power systems we design. We are the ones who work hard to keep our cyberspace secure and all of us reliably connected. At Drexel University, our computer and electrical engineering college offers real-world exposure to enable students to excel in future careers offering a plethora of opportunities for growth and professional development.

Student working with electronic equipment.

The Drexel University ECE Department seeks to celebrate diversity, foster social equity, and to conduct itself in as inclusive a manner as possible. Please view our full diversity, equity, and inclusion statement.

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Cluster Hiring Initiative

The College of Engineering invites applicants for tenure-track assistant professor faculty positions across multiple departments in the cluster themes of energy and sustainability; smart, integrated cities; and health, wellness, and medicine.

Position Information

Register now for online information sessions about our graduate degree programs.

Graduate Program Information Sessions

Inaugural Eisenstein Chair Joins Faculty

David Han, PhD, the inaugural holder of the Bruce Eisenstein Endowed Chair, joins the faculty for the fall term. His research focuses on improving AI to make it more helpful to users.

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Introducing the MS in Machine Learning Engineering

Developed in response to the rapid rise of careers in machine learning, the MS in Machine Learning Engineering leverages Drexel’s strengths in engineering education, cooperative education, and as a Carnegie R1 Research Intensive university. Now enrolling for Fall 2020, with courses offered in-person and online.

Student Organizations

Drexel CyberDragons

Drexel Institute of Electrical and Electronics Engineers (IEEE)

Drexel Institute of Electrical and Electronics Engineers Graduate Forum (DIG Forum)

Eta Kappa Nu (HKN)

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Latest News
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12.3

VIP Project Helps Student Make Connections

Rei Ballabani is getting valuable hands-on research experience developing a data gateway thanks to the Vertically Integrated Projects program.
11.22

How Digital Forensics Can Save us from Deepfakes

Matthew Stamm, PhD , is creating algorithms to spot digitally altered photos and videos and determine their intent.
11.16

Remembering ECE Professor Suryadevara Basavaiah

It is with deep sadness that we inform you of the passing of Professor Suryadevara (Basu) Basavaiah.

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