Academic Programs
Explore the academic programs within the Department of Electrical and Computer Engineering.
Undergraduate
The Electrical and Computer Engineering (ECE) program at Stony Brook offers both Bachelor
of Engineering (BE) and Bachelor of Science (BS) degrees, preparing students for careers
in technology and engineering industries. The program provides a strong foundation
in electrical and computer engineering, emphasizing areas such as digital systems,
embedded systems, communications, and hardware-software integration, along with practical
problem-solving skills for real-world applications.
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Graduate
The Department of Electrical and Computer Engineering (ECE) has a large, diverse program of graduate studies leading to MS and PhD degrees.
Students have three different options to choose from for the MS program:
- Computer Engineering
- Electrical Engineering
- Engineering Artificial Intelligence
Additionally, students have two different options to choose from for the PhD program:
Computer Engineering and Electrical Engineering.
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Engineering Artificial Intelligence
The Engineering Artificial Intelligence MS program is the newest graduate offering from the Department of Electrical and Computer Engineering,
designed for students who want to move beyond using AI to actually engineer it.
This program builds on the strong foundations of mathematics, computer science, and
statistics that underpin modern data-driven systems, while shifting the focus toward
the design, development, and deployment of intelligent systems at scale. Rather than
treating AI as a set of isolated tools, students learn to integrate core principles
with cutting-edge machine learning, optimization, and computing frameworks to solve
complex, real-world engineering problems.
Engineering Artificial Intelligence at Stony Brook is an evolving program—continuously building on established computational and statistical frameworks while adapting to rapid advances in AI hardware, algorithms, and system design. It prepares students to not only understand how intelligent systems work, but to engineer the next generation of AI technologies that power real-world applications across industry and research.
