Foundational courses
Students take one introductory studio course and four foundational courses from a set of key thematic areas.
Jointly offered by the Department of Industrial Engineering and Management Sciences and the Department of Computer Science, the machine learning and data science minor provides students with practical knowledge fundamental to the data science lifecycle. Students will gain experience with a variety of data models and techniques used for collecting data, cleaning it, and analyzing it. They will also learn how to glean insights from data through multiple modern computational tools, as well as the ability to think critically about the construction and implications of analysis and models for data-driven decision making.
Curriculum at-a-glance
Students take one introductory studio course and four foundational courses from a set of key thematic areas.
At the end of their studies, students synthesize their knowledge in a second studio class centered around team-based problem solving of various data science challenges.
To complete the minor, students take two data science elective courses, either related to their major or to broaden their knowledge in data analysis as it relates to other disciplines.
