Founded in 1966, Carnegie Mellon's Department of Statistics evolved separately from the traditional umbrella of Mathematical Sciences in a University environment that emphasized computation, the understanding of human behavior and decision-making, and cross-disciplinary research. This led the Department to define a path for itself by focusing on

• computational statistics,
• Bayesian statistics, and
• cross-disciplinary statistical research

at a time when none of these was recognized as centrally important for a growing department. As all three areas became fundamental to statistics, our department assumed increasing leadership in the field. Today, our theoretical approaches are eclectic, and our graduates remain in demand for jobs in academia, government, and industry.