College of Science and Health
Master of Science in Intelligent Supply Chain and Logistics Analytics (M.S.)

Built for the Modern Supply Chain

The M.S. in Intelligent Supply Chain and Logistics Analytics brings together supply chain management, logistics, and advanced analytics to prepare students for increasingly data-driven organizations.

Coursework explores areas including:

• Supply chain strategy and operations
• Logistics and transportation analytics
• Predictive and prescriptive analytics
• Databases and data warehousing
• Forecasting and optimization
• Operations management
• Data-driven decision-making
• Leadership and ethical decision-making

A STEM-Designated Master’s Program

The M.S. in Intelligent Supply Chain and Logistics Analytics is a STEM-designated graduate program. Students build quantitative, analytical ,and technology-focused skills while developing an understanding of the business and organizational factors that shape supply chain decisions.

Learning Goals

Students completing the M.S. in Intelligent Supply Chain and Logistics Analytics will be prepared to:

• Analyze supply chain, logistics, and operational business problems using quantitative and qualitative methods.
• Apply information technology and analytical methods to extract value from supply chain and logistics data.
• Communicate analytical findings clearly to technical and non-technical audiences through written, oral and visual formats.
• Demonstrate leadership and ethical decision-making within supply chain and logistics environments.

Put Supply Chain Intelligence to Work

Organizations across manufacturing, transportation, distribution, retail, consulting, and other industries depend on professionals who understand both the movement of goods and the data behind those decisions.

Graduates can use their combination of supply chain, logistics, operations, and analytics knowledge to pursue or advance in roles such as:

• Supply Chain Analyst
• Supply Chain Manager
• Logistics Analyst
• Logistics Manager
• Transportation Analyst
• Operations Analyst
• Operations Manager
• Business Intelligence Analyst
• Demand Planning Analyst
• Inventory Analyst
• Supply Chain Analytics Consultant

The program can also benefit professionals looking to add stronger analytical and technology skills to existing experience in operations, logistics, or supply chain management.

Here is an example of some courses you may take in the M.S. in Intelligent Supply Chain and Logistics Analytics:

Coursework connects business strategy with analytics and real-world supply chain applications. Examples of courses within the program include:

• Computer Organization and Architecture
• Programming for Information Systems
• Business Data Analysis
• Data Management
• Business Intelligence
• Supply Chain and Logistics Analytics Practicum
• Organizational Behavior
• Groups and Team Building
• Global Strategic Management

Through coursework and applied learning, students explore forecasting, performance analysis, optimization, and other data-driven approaches used to solve supply chain and logistics problems.

The M.S. in Intelligent Supply Chain and Logistics Analytics requires successful completion of 36 semester credit hours:

Foundation Coursework — 3 credits
Provides the analytical foundation for advanced graduate coursework.

Core Coursework — 27 credits
Develops expertise in supply chain, logistics, operations, transportation and data-driven decision-making.

Elective Coursework — 6 credits
Allows students to expand their knowledge through additional graduate coursework applicable to their professional goals.