Abstract
In 2016, we launched an interdisciplinary, undergraduate Data Analytics major that extends the definition of interdisciplinary beyond computer science, mathematics, and statistics to the natural and social sciences, humanities, and fine arts. Our program was conceived, and continues to be administered, as an independent academic unit by a Committee of faculty representing ten disciplines. Students majoring in Data Analytics complete four or more mathematics and computer science courses, four project-oriented Data Analytics courses, three to four courses in one of seven applied domains, and a required summer internship. Data Analytics courses are taught by both dedicated Data Analytics faculty and other faculty from the Committee. Partnerships with campus offices, alumni, businesses, and nonprofits have enhanced both coursework and internship opportunities. The major's popularity has exceeded our expectations, and has succeeded in attracting students with a variety of academic interests, many of whom would not have otherwise pursued a computational or quantitative major.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
