Data mining student choices: A new approach to business curriculum planning

The authors used a clustering technique to analyze business course choices made by students who completed an individualized degree in a large, urban, public university. They looked for patterns to answer the research question, "What can we learn from students' choices to inform the curricular redesign process in business programs?" The authors found five well-defined clusters; two clusters (marketing-management and marketing-management economics) did not correspond to academic paths in the university's business school. These clusters illuminate trends to be considered in business curricular design. This is the first known study to data mine students' courses choices for curricular design purposes.