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- Title
Prevailing Through Partnership: Take-Aways from Developing Data Analytics Programs in Collaboration with SAS Academic Programs.
- Authors
Salé, Michael J.; Lamere, Alicia T.
- Abstract
As the need for data analytics skills in the workforce continues to grow, colleges and universities are creating new undergraduate and graduate academic programs to cover the scarcity of these competencies. While many professionals in the data analytics and data science fields agree on the important skills necessary to be data fluent, it can be difficult for an institution to curate and navigate the optimal curriculum for their student body. Decisions such as course content, software platforms, data sets, and rigor can seem overwhelming to faculty who have been tasked with the responsibility of creating these data analytics programs. This paper explores the experiences of two institutions who partnered with SAS Academic Programs to form and shape their curriculums with a Tier 3 Academic Specialization--one to create a master's degree in Data Analytics, and the other to create undergraduate certificates in Data Mining to meet the latest industry trends. The benefits of this unique partnership with SAS will be discussed, including access to free pedagogical materials and a suite of industry-standard software packages, enhancement of a program's visibility, and the encouragement of program growth and evolution over time. Solutions to potential tradeoffs will also be explored, such as supporting students' exposure to other programming languages and the reinforcement of conceptual understanding in SAS's task-based curriculum. The paper covers their journeys from the decision to partner with SAS, applying for Academic Specialization, crafting pedagogy around the partnership requirements, teaching and classroom experiences, and assessment of the academic programs.
- Subjects
ACADEMIC programs; PROGRAMMING languages; MASTER'S degree; FREE material; INTEGRATED software; DATA mining
- Publication
Business Education Innovation Journal, 2022, Vol 14, Issue 1, p141
- ISSN
1945-0915
- Publication type
Article