Electrical and Computer Engineering Department, College of Engineering and Applied Sciences
Certificate Awarded: Graduate Certificate in Engineering Machine Learning Systems
Chairperson: Pamela Abshire, Light Engineering Building, Room 273 (631) 632-8408
Graduate Program Director: Fan Ye, Light Engineering Building 143 (631) 632-9376
Department Manager: Chantalle McKim, Light Engineering Building 273 (631) 632-8420
Graduate Program Coordinator: Ashley Cimato, Light Engineering Building 267A (631) 632-8401
Department Coordinator: Adam Ortiz, Light Engineering Building 267 (631) 631-8415
Admission to the certificate programs is limited to students enrolled in either the MS or PhD programs in the Department of Electrical & Computer Engineering.
Matriculated students only.
The Engineering Machine Learning Systems certificate program educates about the mathematical theory, fundamental algorithms, and optimized engineering of computational learning systems used in real-world, big data applications. Students will also study modern technologies used in devising such data systems, including software tools, architectures, and related hardware structures. Comprehensive, hands-on student projects on designing, implementing, and testing real-world learning systems are part of the certificate program. The certificate program includes a total of four courses: three required courses and one elective course.
To receive the Stony Brook certificate in the Engineering Machine Learning Systems, a student must be currently enrolled in an MS or PhD program in the Electrical and Computer Engineering Department and must complete four courses as specified below, with at least a B grade in each course.