Supply Chain Analytics MS
The Master of Science in Supply Chain Analytics is a STEM-designated program that meets the fast growing demands for supply chain and data analytics professionals. It equips students with both the domain knowledge of supply chain management and the skills and toolboxes in business analytics.
Admission Requirements
Applicants must meet the general graduate admission requirements of the Graduate School, described in the UMSL catalog. Students are considered for admission to the graduate program in Supply Chain Analytics only after they have formally applied for admission through the Graduate School.
Degree Requirements
| Course Number | Title | Hours |
|---|---|---|
| Required Courses | ||
| SCMA 5300 | Business Analytics | 3 |
| SCMA 5310 | Supply Chain Strategies | 3 |
| SCMA 5320 | Supply Chain and Operations Management | 3 |
| SCMA 6321 | Strategic Sourcing | 3 |
| SCMA 6330 | Business Logistics Systems | 3 |
| SCMA 6331 | Supply Chain Modeling | 3 |
| SCMA 6345 | Business Analytics and Data Mining | 3 |
| SCMA 6350 | Management Science Methods | 3 |
| Elective Courses | 6 | |
| Choose two of the following: | ||
SCMA 5354 | ||
| Global Supply Chain Management | ||
| Supply Chain Management Practicum | ||
| Supply Chain Project Management | ||
| Seminar in Logistics and Operations Management | ||
| Data Programming for Business Intelligence | ||
| Advanced Data Integration | ||
| Artificial Intelligence Applications for Business and Cybersecurity | ||
| Computer Applications in Finance | ||
FINANCE 6523 | ||
FINANCE 6524 | ||
| Marketing and Business Analytics | ||
| Total Hours | 30 | |
Learning Outcomes
Upon completion of the program, graduates will be able to:
- Understand and explain a comprehensive scope of supply chain functions, concepts, their connections and roles in business
- Grasp all Three-Pillar of Business Analytics: Descriptive, Predictive and Prescriptive methodologies
- Identify and define supply chain decision questions and problems with business acumen
- Build analytical models and apply analytical methods for real world supply chain decision-support and applications
- Interpret and present analysis results and business insights to management
- Obtain hands-on experience of using state-of -the-art decision-support software for real life supply chain applications