Sculpting Accreditation Criteria for Data Science - A Working Session 

Co-Sponsored by ABET and CSAB

The data science field has experienced unprecedented growth over the past few years, as organizations across the globe continue to ramp up the hiring of qualified personnel. Given this employer demand for data science graduates, several institutions have created their own versions of data science programs at the bachelor's and master's levels. Entities such as the ACM, NSF and the National Academies have attempted to define curriculum for baccalaureate data science programs to begin the development of a shared understanding of the data science discipline, which is critical for employers, institutions and students alike. 

To further develop this shared understanding, a task force representing diverse constituents has been exploring the possible accreditation criteria for data science programs for the past year. This hands-on working session will allow attendees to participate and contribute to this effort. This interactive session will include: (1) a review of the project objectives and work to date, (2) an analysis of vital stakeholders and project scope, (3) a detailed timeline of key deliverables, (4) a presentation of the committee’s strawdog data science program criteria, (5) a working session for attendees to review and refine strawdog data science criteria, and (6) identification of programs potentially interested in data science accreditation.

There  is no charge for this working session, but registration is required.  Space is limited. Registrations will be honored on a  first-come-first-served basis.