Engineering
Advanced Architectural Research Studies (City Design and Housing) (MAARS)
University of Southern California, United States
- Degree
- Master's
Engineering
University of Southern California, United States
The MS in Aerospace and Mechanical Engineering with emphasis in Artificial Intelligence and Machine Learning trains students in AI and ML principles and their application to robotics, manufacturing, dynamics, control and computational modeling of complex systems.
Faculty: USC Viterbi School of Engineering | Department: Aerospace and Mechanical Engineering | Duration: Minimum 28 units | Study mode: full-time | Location: Los Angeles, CA, United States
Students take an engineering methods course (linear algebra, PDEs, or probability and statistics), three of four AI/ML core courses (e.g. Machine Learning for Engineering Applications, Robot Dynamics and Control), a Viterbi elective, 8 units of AME electives and a practicum; at least 23 units at the 500 level and a 3.0 cumulative GPA are required to graduate.
Admission requirements follow the general admission rules for Viterbi aerospace and mechanical engineering graduate programmes.
Requirements published at faculty level.
Duration: Minimum 28 units
Engineering
University of Southern California, United States
Engineering
University of Southern California, United States
Engineering
University of Southern California, United States
Engineering
University of Southern California, United States
Engineering
University of Southern California, United States
Engineering
University of Southern California, United States
Engineering
University of Southern California, United States
Engineering
University of Southern California, United States
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