The PhD in Supply Chain Decision and Optimization is a doctoral‑level research program focused on developing advanced expertise in the design, analysis, decision‑making, and optimization of complex supply chain and logistics systems. This interdisciplinary program trains students to conduct original research that contributes new knowledge in areas such as mathematical modeling, data analytics, operations research, network optimization, inventory and production planning, transportation and distribution strategies, and risk management within global supply chains. Doctoral candidates engage in rigorous coursework in quantitative methods, optimization theory, and supply chain management fundamentals, and then undertake an in‑depth research dissertation under faculty supervision that addresses real‑world challenges — for example, enhancing efficiency, resilience, sustainability, and responsiveness of supply networks using advanced computational tools and decision‑support systems. Graduates are well‑suited for careers in academia and research institutions, consulting firms, multinational corporations, logistics and operations leadership, and public policy roles where high‑level analytical, strategic, and innovative thinking about supply chain systems is essential.

NOTE: The university may have additional program-specific eligibility requirements.
It is recommended to verify these on the official university website.