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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Graduate Programs

Propel your career forward as an expert in your field. Drexel is home to top-ranked graduate and certificate programs for engineers. Find out more at an upcoming info session.

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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)

Eta Kappa Nu (HKN)

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Latest News
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Drexel Engineers Listed Among Most Cited in Recent Stanford Database

Twenty-seven tenure or tenure track faculty members, representing disciplines from across the college, appear among the top 2% of the most-cited researchers in their fields.
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Drexel Joins National Effort to Advance AI-Driven Wireless Chip Design

The project is one of several major initiatives backed by the NSTC, a national consortium established under the CHIPS and Science Act to strengthen U.S. leadership in semiconductor research and innovation.
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Graduate Commencement Speaker Embodies Engineering in Service to Others

Abhijnan Prakash helped revive two student organizations, launched a nonprofit supporting small businesses, and contributed to research on vehicle safety and neurodiverse teens. At commencement, he’ll reflect on how service and entrepreneurship defined his Drexel experience.

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