The following requirements must be fulfilled: 12 credits, including two semesters of a 0-credit course, 9 credits in selected courses, and one 3-credit elective course.
Code | Title | Credits |
---|---|---|
Required | ||
Two semesters of one of the following 0-credit courses: * | ||
CSCI 6900 | Colloquium | |
EMSE 6900 | Colloquium | |
One 3-credit course selected from the following: * | ||
CSCI 6907 | Special Topics (in Trustworthy AI in Systems) | |
EMSE 6992 | Special Topics (in Trustworthy AI in Systems) | |
One 3-credit course in data analytics or machine learning selected from the following: | ||
CSCI 6444 | Introduction to Big Data and Analytics | |
EMSE 6575 | Applied Machine Learning for Analytics | |
One 3-credit course in sociotechnical system design selected from the following: | ||
CSCI 6532 | Information Policy | |
EMSE 6001 | The Management of Technical Organizations | |
Elective | ||
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. |
*Students must complete two semesters of CSCI 6900 or EMSE 6900 before they may enroll in CSCI 6907 or EMSE 6992.