Aerospace and Mechanical Engineering (Artificial Intelligence and Machine Learning) (MS)

The Master of Science in Aerospace and Mechanical Engineering with emphasis in Artificial Intelligence (AI) and Machine Learning (ML) educates and trains students in the multidisciplinary principles and concepts of AI and ML, and how these principles can be applied to different areas of Aerospace and Mechanical Engineering including robotics, manufacturing, dynamics, control and computational modeling of complex systems. It fulfills the growing need for professionals in Aerospace and Mechanical Engineering who are experts in these areas and are adept at applying and developing AI/ML techniques.

Admission requirements follow the general admission rules for aerospace and mechanical engineering graduate programs. For admission requirements, refer to Viterbi Graduate Degrees and Requirements at USC Viterbi School of Engineering. The program requires completion of a minimum of 28 units, with at least 23 units at the 500 level, and a cumulative GPA of at least 3.0 for graduation. Students will be advised in the first semester of their study. In addition to engineering analysis (AME 525 , AME 526  or AME 540 ) students are required to take three out of four courses from the AME AI/ML core. Two elective AME courses can be chosen in areas of specific interest to the student such as fluid mechanics, solid mechanics, robotics, controls and manufacturing. Information on the current approved courses that comprise these core and elective requirements is available from the department website ame.usc.edu.