Online Program

Return to main conference page

All Times ET

Friday, June 4
Education
Shaping the Next Generation
Fri, Jun 4, 1:20 PM - 2:55 PM
TBD
 

Computing Competencies for Undergraduate Data Science Curricula: Summary of Report and Next Steps (309712)

Anasse Bari, New York University 
Lillian Cassel, Villanova University 
Paul Leidig, Grand Valley State Uni. 
Andrew McGettrick, University of Strathclyde 
*Karl R. B. Schmitt, Trinity Christian College 
Andreas Stefik, University of Nevada, Las Vegas 

Keywords: data science, curriculum, ACM

This paper and presentation will summarize ACM's upcoming Computing Competencies for Undergraduate Data Science Curricula Report. The curricular recommendations focus on the aspects of Data Science that typically originate from the discipline of Computer Science. This includes content like machine learning, software design, and big data systems. The report is not intended to be comprehensive of Data Science and intentionally avoids making recommendations on Statistical, Mathematical, or domain topics, except acknowledgment of the need for those competencies. This presentation will provide vital information for faculty who are in the process of implementing new programs in data-related fields, who want to connect more productively with those programs, and who wish to understand better what skills from computing are necessary for data scientists. Desired next steps in developing a full curricular recommendation will be shared, including an interdisciplinary and inter-professional society task force.