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Engineering

Electrical and Computer Engineering (Hardware Systems for Machine Learning) (MS) at University of Southern California

University of Southern California, United States

Programme overview

The MS in Electrical and Computer Engineering with an emphasis in Machine Learning Systems focuses on hardware systems for machine learning.

Faculty: Viterbi School of Engineering  |  Department: Ming Hsieh Department of Electrical and Computer Engineering  |  Duration: 32 units minimum  |  Study mode: full-time  |  Location: Los Angeles, CA, United States

What you will study

32 units: required EE 508 Hardware Foundations of Machine Learning, EE 511 Machine Learning Hardware Accelerators and EE 560L Digital System Design; at least one data processing elective, three mathematics/architecture courses and additional electives; 0-unit practicum. Up to two preparatory courses (8 units) may count.

Official programme page

Application information

Duration: 32 units minimum

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