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Engineering

Engineering Machine Learning Systems Graduate Certificate at Stony Brook University

Stony Brook University, United States

Programme overview

The certificate covers the mathematical theory, fundamental algorithms and optimized engineering of computational learning systems used in real-world, big data applications, along with software tools, architectures and hardware structures, and includes hands-on projects designing, implementing and testing learning systems.

Faculty: College of Engineering and Applied Sciences  |  Department: Electrical and Computer Engineering  |  Duration: 4 courses  |  Study mode: full-time  |  Location: Stony Brook, NY, United States

What you will study

Four courses with at least a B in each: Stochastic Systems (foundations), Fundamentals of Machine Learning and Learning Systems for Engineering Applications (methods), and one application elective from Computer and Robot Vision, Hardware Architectures for Deep Learning, Practical Machine Learning and AI, or Translational Bioinformatics.

Official programme page

Application information

Entry requirements

Open only to matriculated students currently enrolled in an MS or PhD programme in the Electrical and Computer Engineering department; students submit a Permission to Enroll in a Secondary Certificate Program form within the first week of the semester in which the certificate starts.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Duration: 4 courses

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