Supply Chain Analytics University of Missouri–St. Louis

Overview

The Supply Chain Analytics at the University of Missouri–St. Louis is an advanced graduate programme designed to bridge the gap between data science and global logistics expertise. This curriculum prepares students to manage complex supply, production, and delivery systems using sophisticated analytical tools and machine learning technology.

Students gain comprehensive training in the three pillars of analytics: descriptive, predictive, and prescriptive techniques. By applying these methods to real-world scenarios, graduates learn to solve modern challenges in purchasing, operations, and transportation. The programme is specifically tailored for those with backgrounds in business, economics, or engineering.

Why Supply Chain Analytics at the University of Missouri–St. Louis?

The University of Missouri–St. Louis holds a prestigious position in the field, with this programme ranked as the number one Master’s in Supply Chain Management by Intelligent.com for two consecutive years. This recognition highlights the institution's commitment to academic excellence and student success.

The Ed G. Smith College of Business is accredited by the Association to Advance Collegiate Schools of Business in both business and accounting. This dual accreditation places the university among the top two percent of business schools worldwide, ensuring a high standard of quality and international recognition for your degree.

Students benefit from an extensive network of over 150 local executives who serve on advisory boards, providing mentorship and ensuring the curriculum remains relevant to industry trends. The faculty consists of expert researchers and dedicated mentors who support students through internships with Fortune 500 firms and local businesses.

Tuition Fee Breakdown

• International fee: USD 1780 per credit
• National fee: USD 1780 per credit
• Local fee: USD 847 per credit

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

• Business Analytics
• Supply Chain Strategies
• Supply Chain and Operations Management
• Strategic Sourcing
• Business Logistics Systems
• Supply Chain Modeling
• Business Analytics and Data Mining
• Artificial Intelligence Applications for Business and Cybersecurity
• Computer Applications in Finance
• Fixed Income Analysis
• Marketing and Business Analytics

Careers with Supply Chain Analytics

Graduates are well-positioned for high-growth roles, with employment for logisticians projected to increase significantly by 2032. The programme prepares individuals for diverse leadership and technical positions across various global industries and supply chain sectors.

Potential career roles include:

• Business Analyst
• Business Intelligence Analyst
• Capacity Manager
• Demand Manager
• Inventory Manager
• Load Planner
• Logistics Manager
• Logistics and Transportation Analyst
• Logistics Resource Planner
• Market Analyst

The university provides lifelong career management resources, including resume development and interview preparation. Students also gain access to the largest alumni network in the region, connecting them with leading professionals in research, non-profit, and government sectors.