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Making sense of the exponentially expanding sources of structured electronic data collected by organizations is increasingly difficult. Data mining is the extraction of implicit, previously unknown, and potentially useful information from large volumes of such data to support decisionmaking in organizations and has led to an increase in demand for students who have an understanding of data mining techniques and can apply them to organizations’ data. Thus data mining is an increasingly important component of the Information Systems curriculum in order to meet this skills demand. This paper describes the development of a curriculum for an elective data mining course in an Information Systems graduate program based on the only available model curriculum from the ACM SIGKDD over a two year period and concludes with student feedback and lecturer reflection. This paper will be useful to educators responsible for developing curricula and teaching data mining to IS graduate students; in addition, it serves as instructor feedback to the authors of the ACM SIGKDD model curriculum.

Finding Diamonds in Data: Reflections on Teaching Data Mining from the Coal Face