MS in Supply Chain Management

The Master of Science in Supply Chain Management program at Boston University’s Metropolitan College provides the analytical basis for the design, optimization, operation, and improvement of a global supply chain. The curriculum provides comprehensive coverage of quantitative tools to support decisionmaking in complex, ever-changing supply chain environments. These tools include time series data analytics, mathematical optimization, simulation, statistical and financial analysis, regression, lean methods, and control charting. The application of these tools supports capacity and inventory buffering, customer flow analysis, demand forecasting, risk assessment, queue modeling, quality assurance, and Six Sigma process improvement. Particular attention is given to recent tendencies in supply chain digitalization and sustainability efforts with the prevalence of global pandemic and climate change impacts. Students have the opportunity to gain hands-on experience through an industrial-based capstone project and earn a Six Sigma Green Belt. All students joining the program are supported by several self-paced laboratories that prepare them for the analytical curriculum, including mathematics and statistics and associated software applications.

This program requires an average of 8–16 months to complete. Students may begin the program in the fall, spring, or summer term.

Learning Outcomes

  • Demonstrated ability to use interlinked data inputs, analytics, and systems to support decisionmaking in a supply chain that is geographically dispersed and culturally diverse.
  • The ability to utilize financial statements and apply a systematic process-oriented approach to evaluating quality in manufacturing and service supply chains using statistical calculations.
  • The ability to apply statistical methods to supply chain problems such as demand forecasting, quality control, risk analysis, safety stock calculations, and inventory aggregation.
  • The ability to apply analytical methods to supply chain problems such as inventory optimization, stochastic inventory models, facility location optimization, capacity analysis, queueing theory, and delivery optimization.
  • The ability to utilize mathematical modeling and optimization theory by choosing the appropriate quantitative tools to support supply chain operations.

Admissions Information

For current admissions information, please visit the Metropolitan College website.

Degree Requirements

Each student in the program will have access to the following free self-paced laboratories: Mathematics with Applications in Management (MwAM) and Statistics with Applications in Management (SwAM).

A total of eight courses (32 units) is required, as follows:

Core Courses (four courses/16 units)

  • MET AD 519 Operations and Process Analysis*
  • MET AD 632 Financial Concepts
  • MET AD 680 Global Supply Chains
  • MET AD 715 Quantitative and Qualitative Decision-Making

    Electives (four courses/16 units)

    Students not choosing a concentration in Analytics, Logistics Management, or Risk Management must select four courses from the following list:

    • MET AD 510 Mathematics and Statistics in Management
    • MET AD 690 Supply Chain Logistics
    • MET AD 725 Negotiations and Organizational Conflict Resolution
    • MET AD 734 Six Sigma Quality Methods*
    • MET AD 760 International Trade and Logistics
    • MET AD 804 Capstone Project for Supply Chain Management**

    *Students who take MET AD 734 and meet specific performance standards will earn Six Sigma Green Belt certification. Students who take MET AD 519 and MET AD 734 and meet specific performance standards will earn a Lean Six Sigma Green Belt.

    **Upon discussion with the program coordinator. Must have completed at least six courses.

    Concentrations