Business Analytics Education: A Latent Semantic Analysis of Skills, Knowledge and Abilities Required for Business versus Non-Business Graduates.

摘要: Market demand for business analytics (BA) professionals has been skyrocketing in recent years, but challenges arise in developing BA programs. In this study, we seek to uncover the key components of skills, knowledge, and abilities (SKAs) that employers require emerging profession by degree non-business (e.g., computer science, engineering, statistics, mathematics). We used Latent Semantic Analysis (LSA), a text mining technique, to analyze data position dvertisement on LinkedIn, adopted educational framework Bloom’s taxonomy as sensitizing lens interpret our results. Our analysis reveals differences in SKAs different education: Business graduates are expected have in mathematics BI technologies, while CESM desired business strategy market knowledge. KSAs also identified positions open to any other academic degrees. Implications program curriculum design are discussed.