| Summary: | Statistical applications are increasingly inducing ethical considerations, which are often not able to be resolved via statistics alone. In this article, we present a proposed course that combines applied statistics and moral philosophy. The instructional methods included are designed with implementation at a large research institution in mind but are fully intended to be transferable to any setting adopting such an interdisciplinary course into its curriculum. The aforementioned methods will foreground case-studies as tangible examples in a recurrent workflow involving identification of a dilemma, statistical analysis, philosophical defense, and application to the particular case study. Formative and summative assessment mechanisms will be presented alongside future directions and potential pitfalls of such a course. Motivating the proposed course is a desire to fill the comparative void in moral reasoning for statistics and data science curricula.
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