STAT 600: Statistical Computing is designed to prepare the next generation of statisticians and data scientists with the computational skills needed to implement modern statistical and machine learning methods. As the scale of modern data sets and complexity of inferential methods continue to grow, it is imperative to develop methods that maximize computational efficiency while minimizing environmental impact. This proposal aims to enhance STAT 600 to help meet these needs by increasing students’ awareness of the environmental costs associated with modern data analyses, introducing sustainable coding best practices for statistical inference, and motivating the development and implementation of computational algorithms for statistical inference with sustainability applications.