The following requirements must be fulfilled: 12 credits, including 9 credits in selected courses and one 3-credit elective course. Students may need to complete prerequisite coursework to take courses that count toward the certificate.

One course selected from the following:
CSCI 6907Special Topics (in Trustworthy AI in Systems)
EMSE 6992Special Topics (in Trustworthy AI in Systems)
One course in data analytics or machine learning selected from the following:
CSCI 6364Machine Learning
EMSE 6575Applied Machine Learning for Analytics
One course in sociotechnical system design selected from the following:
CSCI 6532Information Policy
EMSE 6001The Management of Technical Organizations
One 3-credit course selected with the approval of the academic advisor. Most students will take a course in one of the following areas: machine learning and artificial intelligence; security and privacy; safety and verification; bias and risk; regulation and policy; and interaction with human behavior.