Programs Master’s Master’s Programs Chemical Engineering & Materials Science MS in Materials Engineering – Machine Learning

Master of Science in Materials Engineering - Machine Learning

Application Deadlines

September 1

December 15


The Master of Science in Materials Engineering with an emphasis in Machine Learning is for students who have an interest in materials engineering that includes machine learning toward materials discovery, design, and processing. U.S. industry and cybermanufacturing are rapidly moving toward data-driven materials discovery and development. Materials engineering combined with machine learning is a novel emerging field that combines materials modeling, simulations and machine learning together into a new paradigm for materials discovery and cybermanufacturing.

Students with a Bachelor of Science in Materials Science, Chemical Engineering, Mechanical Engineering, Civil or Environmental Engineering, Industrial Engineering, Physics, and Chemistry, as well as in industry employees who plan to apply machine learning to their research and development, are ideal candidates for the program.

This degree is awarded in conformity with the general requirements of the Viterbi School of Engineering. Students may elect to work for this degree in either the Materials Science or Aerospace and Mechanical Engineering departments. The specific courses that constitute an acceptable program must be approved in advance by the administering department.


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Spotlight Webinar: Recorded October 20, 2021

Published on August 2nd, 2021

Last updated on March 25th, 2024