Artificial Intelligence (AI) and Machine Learning (ML) have made an impact on all areas of science and engineering. Within Aerospace and Mechanical Engineering alone, they have profoundly changed the way manufacturing, robotics and computational modeling of systems complex systems is performed. AI and ML techniques are now routinely adopted in companies and laboratories that recruit many of our graduates; e.g., Boeing, Tesla, Northrup Grumman, and the Jet Propulsion Laboratory.
The MSAME - Artificial Intelligence and Machine Learning program is designed to help meet the growing need for Aerospace and Mechanical Engineers who have a strong understanding of AI and ML, and how they can be applied in Aerospace and Mechanical Engineering.
Upon completion of this program, students will have a sound understanding of:
- The basic principles and concepts of AI and ML.
- How AI and ML can be applied to areas like robotics, manufacturing, dynamics, control, and computational modeling of complex system
International Students: This program is eligible for the OPT STEM extension.
- This program requires completion of 28 units of coursework
- Thesis option and Directed Research (research without thesis) may be requested after completing first semester. Thesis option is not guaranteed
- USC Catalogue
- USC Schedule of Classes
APPLICATION DEADLINES
| SEMESTER | DEADLINE |
| Fall | December 15 (Scholarship consideration)
January 15 (Final deadline) |
Visit our Ready to Apply page for more information
ELIGIBILITY CRITERIA
Applicants to the Master of Science program in Aerospace and Mechanical Engineering - Artificial Intelligence and Machine Learning must have a bachelor’s degree or be in the process of completing a bachelor's degree. Most applicants have degrees in engineering or closely related fields, such as Aerospace, Aeronautics, Mechanical, and Mechatronics.
Applicants without a bachelor's degree in a directly related field may still be considered if they have completed and demonstrated strong proficiency in the following coursework (or equivalent):
| |
| Computer |
| Engineering |
| Linear Systems |
| Programming |
This is not an exhaustive list. Applications are reviewed holistically; simply taking these courses does not guarantee admission.
APPLICATION REQUIREMENTS
The following materials are required to be included with your online application:
- Transcripts
- Resume/CV
- Personal Statement
- Letter of Recommendation (Optional)
NOTE: The GRE is not required for 2026 applications.
The following link will take you to an overview of the tuition & fees for graduate engineering students, including payment information. Both on-campus and DEN@Viterbi students pay the same tuition
TUITION AND FEES OVERVIEW
Use the link below to download the Cost of Attendance to see a summary of tuition and fees by semester. The document is a typical example and the number of courses, and time to complete the program, will vary by student.
Estimated Cost of Attendance - 28 Unit Program
2025 First Destinations Survey - Outcomes*
Alumni Employment - 2025*
Companies & Job Titles (multiple positions may be listed)
Average Reported Salary: None Submitted
- University of Southern California - Mechanical Engineering Research Assistant
.
* Information is based on a voluntary survey and should not be interpreted as a comprehensive view of the 2025 graduating class.
Additional career outcomes information can be found on our general MS in Aerospace Engineering and MS in Mechanical Engineering pages.
This program is not available via DEN@Viterbi.
Please complete the following form for more information.
