Stevens is traversing new frontiers in artificial intelligence by offering one of the first graduate programs in the country to explore AI applications for engineering.
In the applied artificial intelligence masters program, graduate students develop a strong background in the theoretical foundations and algorithm development in artificial intelligence and deep learning with a thorough understanding of a variety of engineering applications. Students will learn a blend of software and hardware skills that are applicable across multiple engineering domains.
Students are immersed in a hands-on approach to learning within a mix of course offerings, from fundamental core courses to state-of-the art topics such as internet of things (IoT), information systems security, and big data applications.
Masters students in the applied artificial intelligence program have the opportunity to work on exciting new projects and applications relating to:
As one of the country's premiere institutions for computer engineering, signal processing and emerging communications standards, Stevens offers graduate students exposure to a broad-based, interdisciplinary curriculum. Located just across the river from New York City, Stevens’ location is ideal for students who want to network with tech companies who are developing groundbreaking new technologies and looking to recruit top level talent.
Another big plus for Stevens was that the faculty was involved in research in a wide variety of topics, all of which were fascinating.
I worked on multiple projects with him, some of which are a highlight of my resume.
I was very impressed with Professor Dov Kruger's Data Structures and Algorithms class and his open and helpful nature when interacting with students.
My experience inside the ECE department as an assistant has been very rewarding, both from a personal and educational perspective
They have relied on me as a valuable asset and shared the challenges with me since the early stages of the program.
At Stevens, you’ll work with renowned faculty members, including National Academy of Engineering (NAE) members, IEEE Fellows, major grant recipients, patent holders and editors of prestigious journals…
K.P. Subbalakshmi is a Jefferson Science Fellow and former senior science and technology advisor to the U.S. Department of State.
Victor Lawrence is a well-regarded engineer and inventor, IEEE Fellow, and NAE member researching intelligent communication networks.
Yu-Dong Yao is an IEEE Fellow and researcher studying wireless communications, cognitive and software-defined radio, machine learning and deep learning…
Our renowned laboratories give you the opportunity to explore cutting-edge hardware and software development, as well as theoretical and applied research projects with faculty and regional institutions.