Graduate Study Overview

The Department of Electrical Engineering and Computer Science (EECS) offers the following graduate degree programs: a Master of Engineering in Electrical Engineering, Doctor of Philosophy in Electrical Engineering, traditional Master of Science in Computer Science, and a Doctor of Philosophy in Computer Science. The EECS Department also offers a Graduate Certificate in Cybersecurity.

The master's degree programs are intended for students who want the opportunity to obtain some expertise in research in specific research areas.

The Ph.D. degree programs are intended for candidates who have the ability to demonstrate an in-depth understanding of the chosen subject matter and make an original contribution to knowledge in their chosen field of specialty.

Through the years, the College of Engineering and Architecture (CEA) at Howard University has been among the top schools in the nation in the number of engineering degrees awarded to African Americans and other minorities. The Department of EECS has made significant contributions in this area.

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News

Recent Computer Science Ph.D. Graduates Join Industry as Outstanding Researchers

Fri, November 20, 2020

Recent Computer Science Ph.D. graduates Abdulhamid Adebayo (far right) and Ronald Doku (second to the right) joined tech giants IBM Research and Oracle as researchers in cybersecurity and data science. Dr. Adebayo joined IBM Research as Hybrid Cloud Security Researcher and Dr. Doku joined Oracle, Inc. as Data Scientist. Both were graduate research assistants and advisees of Danda B. Rawat, Ph.D., Computer Science Professor and Director of Howard University’s Data Science & Cybersecurity Center (DSC2). Read More >>

Electrical Engineering Lecturer Fadel Lashhab Receives 2020 IEEE IEMTRONICS Best Paper Award

Fri, October 23, 2020

Electrical Engineering Lecturer Fadel Lashhab, Ph.D. recently received the prestigious Institute of Electrical and Electronics Engineers (IEEE), International IoT, Electronics and Mechatronics (IEMTRONICS) Best Paper Award in the Mechatronics track for his paper titled “Estimation of Dynamic Laplacian Eigenvalues in Dynamic Consensus Networks”. Read More >>

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