Malik, H., & Dampier, D. A. (2023, June), A Framework to Facilitate Higher Educational Institutions Delivery of  Data Science Microcredentials: A First-Hand Experience  Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--42398

\bibitem{asee_peer_42398}
  Malik, H., \& Dampier, D. A. (2023, June), \emph{A Framework to Facilitate Higher Educational Institutions Delivery of  Data Science Microcredentials: A First-Hand Experience}
  Paper presented at 2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland.
  10.18260/1-2--42398

Haroon Malik and David A. Dampier.  "A Framework to Facilitate Higher Educational Institutions Delivery of  Data Science Microcredentials: A First-Hand Experience".  2023 ASEE Annual Conference & Exposition, Baltimore , Maryland, 2023, June.  ASEE Conferences, 2023.  https://peer.asee.org/42398 Internet.  23 Apr, 2025

\bibitem{asee_peer_42398}
  Haroon Malik and David A. Dampier.
  "A Framework to Facilitate Higher Educational Institutions Delivery of  Data Science Microcredentials: A First-Hand Experience".
  \emph{2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland, 2023, June}.
  ASEE Conferences, 2023.
  https://peer.asee.org/42398 Internet.  23 Apr, 2025

@INPROCEEDINGS{asee_peer_42398
author = "Haroon Malik and David A. Dampier"
title = "A Framework to Facilitate Higher Educational Institutions Delivery of  Data Science Microcredentials: A First-Hand Experience"
booktitle = "2023 ASEE Annual Conference \& Exposition"
year = "2023"
month = "June"
address = "Baltimore , Maryland"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/42398}
number = {10.18260/1-2--42398}
}

TY  - CPAPER
AB  - 
Officers typically enter the military after completing a four-year college degree; enlisted service members can transition to officer positions through various pathways and earn a degree while serving to satisfy Military Occupational Specialty (MOS). While military training and experience are valued for a lifetime, this does not always translate to a clear and straightforward career in civil life after retirement or when servicemen, i.e., military personnel, soldiers, and officers) separate from the military. Every year, about 2000,000 veterans leave the military. Over the next five to ten years, an increasing number of those 2000,000 people will become engaged in data science and machine learning, driven by their interests, skills, backgrounds, and changing business needs. The reason for this is (a) Data science will drive every type of business, and (b) The Army on a continuous basis, will need skillful personnel ( data engineers, analysts and scientists ) to embrace its growth in emerging analytic capability. The Work-in-Progress (WIP) focuses on the need to develop data science MCs for veterans, a high-demand area that is increasingly critical in today's data-driven world. The WIP recommends a design process for developing data science-related MCs for veterans, which includes identifying the skills and competencies needed, developing learning outcomes, designing assessments, and selecting appropriate delivery platforms.
AU  - Haroon Malik
AU  - David A. Dampier
CY  - Baltimore , Maryland
DA  - 2023/06/25
PB  - ASEE Conferences
TI  - A Framework to Facilitate Higher Educational Institutions Delivery of  Data Science Microcredentials: A First-Hand Experience
UR  - https://peer.asee.org/42398
DO  - 10.18260/1-2--42398
ER  -