EXPERIENTIAL LEARNING IN DATA SCIENCE AND ANALYTICS

Catalog description

Prerequisites: Graduate standing, instructor permission, 3.0 minimum GPA. Internship and team project (aka Professional Labs). In the internship, students participate in activities within an industry setting to solve real world data science problems and to learn how to be part of the real-world work environment. In the Professional Lab, students become part of a problem-solving team to learn how to solve real-world data science problem and learn typical roles in a data science team. Offered every semester.