Content area

Abstract

Graduate programs in data analytics differ not only in content but also in how they frame the purpose of analytics education. This study investigates whether business and non-business programs exhibit distinct curricular framing orientations. It hypothesizes that business programs emphasize outcome-oriented framing, presenting analytics as a tool for decision-making and value delivery, while non-business programs emphasize mastery-oriented framing focused on technical depth and methodological rigor. To evaluate this distinction, the study analyzes 1,972 course descriptions from 109 graduate programs using natural language processing techniques capable of identifying semantic similarities in instructional language. The results reveal significant differences in how programs describe the role of analytics, with statistical and validation analyses supporting the hypothesized framing distinction. These findings position framing orientation as a structural feature of curriculum design and provide practical guidance for educators, curriculum developers, and academic leaders seeking to align analytics programs with institutional goals and workforce expectations.

Details

10000008
Title
OUTCOME VS. MASTERY: A SEMANTIC ANALYSIS OF CURRICULAR FRAMING IN GRADUATE DATA ANALYTICS PROGRAMS
Author
Brattin, Rick L 1 

 Information Technology and Cybersecurity, College of Business, Missouri State University, Springfield, MO, USA 
Volume
17
Issue
4
Pages
1-19
Number of pages
20
Publication year
2025
Publication date
Nov 2025
Publisher
Educational Research Multimedia & Publications
Place of publication
Chung-Li
Country of publication
India
Publication subject
ISSN
20769202
e-ISSN
2218046X
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
3253426301
Document URL
https://www.proquest.com/scholarly-journals/outcome-vs-mastery-semantic-analysis-curricular/docview/3253426301/se-2?accountid=208611
Copyright
Copyright Educational Research Multimedia & Publications 2025
Last updated
2025-09-23
Database
ProQuest One Academic