W02: A core curriculum for undergraduate data science

Todd Iverson, Silas Bergen, Brant Deppa, Tisha Hooks, April Kerby and Chris Malone (Winona State University)


Tuesday May 14, 1:00 pm – 4:30 pm
Wednesday May 15, 8:30 am – 12:00 pm and 1:00 pm – 4:30 pm
Thursday May 16, 8:30 am – 12:00 pm


The job market has seen an explosion in the demand for data scientists, and many academic institutions are rushing to meet this demand by implementing data science courses and programs. So what is the core data science curriculum? How does data science differ from other established programs, such as statistics and computer science?

Based on the feedback of working data scientists, the faculty at Winona State University designed and implemented one of the first undergraduate data science programs. This workshop highlights the curriculum developed for our data science courses and consists of 4 half-day sessions covering the following topics: the introductory data science course (Tues 1pm), data visualization (Wed 8:30am), data management (Wed 1pm), and statistical learning theory (Thur 8:30am).