Master of Science in Supply Chain Analytics

The efficient and timely flow of goods and services across the globe is vital to the world economy. Enterprises rely on teams of highly-trained supply chain professionals and data-driven decision making to manage the supply, production and delivery of products and services. As global trade between countries continues to open, with the ongoing growth of emerging markets and availability of data, and as e-commerce becomes prevalent, there is a growing need to fill the current "talent gap" with managers who have a fundamental knowledge and training in supply chain management and data analytics.This STEM-designated, 30-credit hour program is designed for students with an undergraduate degree in business, economics, computer science or engineering who would like to apply data science and analytics in the domain of supply chain management. This program will also benefit professionals who currently work in the field and want to enhance their data and analytical skills, as well as data analysts who want to gain knowledge in supply chain management.In 2023, the Master of Science in Supply Chain Analytics program was ranked #1 in "Best Master’s in Supply Chain Management" by Intelligent.com. It was the second year in a row UMSL has earned this honor.The MS in Supply Chain Analytics program is designed to meet the demand for professionals in the broad fields of Supply Chain Management and Business Analytics. This program bridges the gap between a pure data scientist and a supply chain domain expert and refers to an advanced data analytics professional or data professional who wants to implement machine learning technology.

Hold a bachelor’s degree from an accredited college or university. GPA (Undergraduate Grade Point Average): 3.0