Liu, D. (2022, August), Prepare Data Science Program Student Outcomes and Curricula for ABET Accreditation  Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--40404

\bibitem{asee_peer_40404}
  Liu, D. (2022, August), \emph{Prepare Data Science Program Student Outcomes and Curricula for ABET Accreditation}
  Paper presented at 2022 ASEE Annual Conference \& Exposition, Minneapolis, MN.
  10.18260/1-2--40404

David Liu.  "Prepare Data Science Program Student Outcomes and Curricula for ABET Accreditation".  2022 ASEE Annual Conference & Exposition, Minneapolis, MN, 2022, August.  ASEE Conferences, 2022.  https://peer.asee.org/40404 Internet.  16 Dec, 2024

\bibitem{asee_peer_40404}
  David Liu.
  "Prepare Data Science Program Student Outcomes and Curricula for ABET Accreditation".
  \emph{2022 ASEE Annual Conference \& Exposition, Minneapolis, MN, 2022, August}.
  ASEE Conferences, 2022.
  https://peer.asee.org/40404 Internet.  16 Dec, 2024

@INPROCEEDINGS{asee_peer_40404
author = "David Liu"
title = "Prepare Data Science Program Student Outcomes and Curricula for ABET Accreditation"
booktitle = "2022 ASEE Annual Conference \& Exposition"
year = "2022"
month = "August"
address = "Minneapolis, MN"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/40404}
number = {10.18260/1-2--40404}
}

TY  - CPAPER
AB  - ABET CAC (Computing Accreditation Commission) is in the semi-final stage of approving program criteria for Data Science within Computing programs for the first-time. Pilot CAC Data Science accreditation is being planned for the upcoming 2021-2022 accreditation cycle. In the meantime, ABET ANSAC (Applied and Natural Science Accreditation Commission) is also working with American Statistical Association in initiating the Data Science accreditation within Applied and Natural Science programs. This paper describes the ABET General and proposed or potential Data Science Specific Student Outcomes and Curriculum criteria within both Computing Programs and Applied and Natural Science Programs. Based on these criteria, we reviewed our university system’s two existing BS Data Science programs: one developed jointly by Computer Science and Statistics programs; another one mainly from a Statistics program and determined whether they satisfy the ABET accreditation requirements for Data Science programs. We investigate how these two programs can be improved to satisfy the ABET Data Science curriculum requirements either as a Computing program or as an Applied and Natural Science program. Recommendations of curriculum changes are made to improve these programs for accreditation. We further describe specially how Data Science programs can work with other programs to incorporate application domains as required by ABET. We expect that this study will serve as a guideline for Data Science programs to develop curricula and seek accreditation.
AU  - David Liu
CY  - Minneapolis, MN
DA  - 2022/08/23
PB  - ASEE Conferences
TI  - Prepare Data Science Program Student Outcomes and Curricula for ABET Accreditation
UR  - https://peer.asee.org/40404
DO  - 10.18260/1-2--40404
ER  -