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The Operations and Decision Technologies field examines business process functionality and how to leverage sophisticated analytics for making highly effective decisions across diverse business scenarios. In our rapidly digitizing world, automation technologies that streamline operations and connect them to human systems produce unprecedented volumes of data. We analyze this information to reveal key operational relationships, create models that demonstrate system behaviors, highlight non-obvious outcomes of potential actions, and design computational approaches that recommend optimal or near-optimal solutions. The curriculum in this domain incorporates the latest theoretical advancements and research findings. Technical subjects span optimization techniques, simulation methods, statistical analysis, forecasting models, decision frameworks, cooperative and competitive game theory, network analysis, queuing systems, stochastic processes, and dynamic control. Practical applications cover supply chain optimization, distribution networks, stock management, pricing strategies, sustainable operations, and circular supply chains.