Wu, H. (2017, June), Systematic Study of Big Data Science and Analytics Programs  Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. 10.18260/1-2--28900

\bibitem{asee_peer_28900}
  Wu, H. (2017, June), \emph{Systematic Study of Big Data Science and Analytics Programs}
  Paper presented at 2017 ASEE Annual Conference \& Exposition, Columbus, Ohio.
  10.18260/1-2--28900

Huanmei Wu.  "Systematic Study of Big Data Science and Analytics Programs".  2017 ASEE Annual Conference & Exposition, Columbus, Ohio, 2017, June.  ASEE Conferences, 2017.  https://peer.asee.org/28900 Internet.  23 Apr, 2024

\bibitem{asee_peer_28900}
  Huanmei Wu.
  "Systematic Study of Big Data Science and Analytics Programs".
  \emph{2017 ASEE Annual Conference \& Exposition, Columbus, Ohio, 2017, June}.
  ASEE Conferences, 2017.
  https://peer.asee.org/28900 Internet.  23 Apr, 2024

@INPROCEEDINGS{asee_peer_28900
author = "Huanmei Wu"
title = "Systematic Study of Big Data Science and Analytics Programs"
booktitle = "2017 ASEE Annual Conference \& Exposition"
year = "2017"
month = "June"
address = "Columbus, Ohio"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/28900}
number = {10.18260/1-2--28900}
}

TY  - CPAPER
AB  - Rapid advances in information technologies have led to the generation of massive data sets, especially in life science and biomedical informatics. These data sets are valuable assets and in great needs to be analyzed. However, there is a shortage of workforce for big data analysis. Education innovations are required to empower students with the skills and technologies for large dataset analysis. Over the last few years, there is a high demand for new programs in data science and analytics (DSA). We has performed a systematic study of the existing DSA programs in the US by checking the detailed information about the degree programs, the program competencies, the curriculum designs, the expected learning outcomes, program sizes, professional careers, and other related information. There are more than 70 DSA programs offered in the US. This study provides guidance on DSA related program development and curriculum design.  It also provides the potential trainees in DSA with the current market needs and the required knowledge for their future career.
AU  - Huanmei Wu
CY  - Columbus, Ohio
DA  - 2017/06/24
PB  - ASEE Conferences
TI  - Systematic Study of Big Data Science and Analytics Programs
UR  - https://peer.asee.org/28900
DO  - 10.18260/1-2--28900
ER  -