MITx: Supply Chain Analytics course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview (80-120 words) describing structure and time commitment.
Module 1: Foundations of Supply Chain Analytics
Estimated time: 12 hours
- Understand supply chain structure and key components
- Learn how analytics supports operational decisions
- Explore performance metrics and KPIs
Module 2: Demand Forecasting and Inventory Optimization
Estimated time: 12 hours
- Apply statistical forecasting methods
- Analyze safety stock and reorder point models
- Optimize inventory levels across supply networks
Module 3: Network Design and Optimization
Estimated time: 12 hours
- Study transportation and distribution models
- Apply linear programming concepts
- Optimize facility location and logistics planning
Module 4: Risk and Performance Management
Estimated time: 10 hours
- Identify supply chain risks and disruptions
- Analyze resilience strategies
- Implement data-driven continuous improvement approaches
Module 5: Final Project
Estimated time: 10 hours
- Deliverable 1: Analyze a real-world supply chain scenario
- Deliverable 2: Apply optimization models to improve network efficiency
- Deliverable 3: Submit a comprehensive analytics report with recommendations
Prerequisites
- Basic understanding of statistics
- Familiarity with mathematical modeling concepts
- Comfort with quantitative analysis
What You'll Be Able to Do After
- Apply analytical methods to optimize supply chain operations
- Use data-driven techniques to improve forecasting and demand planning
- Analyze inventory management and distribution strategies
- Apply optimization models in logistics and network design
- Understand risk management in global supply chains