Supply Chain Management and Applied Analytics, M.S.

Curriculum

The program consists of these ten courses:

PSA 500: Resiliency in Supply Chains
PSA 501: Accounting and Finance for Supply Chain Managers
PSA 502: Global Supply Chain and Operations Strategy
PSA 503: International Transportation Management
PSA 504: Supply Chain Analytics and Data Mining
PSA 505: Warehousing and Distribution Systems
PSA 506: Procurement and Supplier Management
PSA 507: Customer Analytics
PSA 508: Supply Chain Network Design
PSA 509: Lean Six Sigma Innovation Protocols (includes Capstone Experience)

One- and Two-Year Completion Options

Below are sample course schedules for the available one and two-year program completion timelines.

One-Year Track

Fall 1: PSA500, PSA501
Fall 2: PSA502, PSA503
Spring 1: PSA504
Spring 2: PSA505, PSA507
Summer 1: PSA506, PSA508
Summer 2: PSA509

Two-Year Track

Year 1

Fall 1: PSA500
Fall 2: PSA501
Spring 1: PSA504
Spring 2: PSA507

Year 2

Fall 1: PSA502
Fall 2: PSA503
Spring 1: PSA506
Spring 2: PSA505
Summer 1: PSA508
Summer 2: PSA509

Program Learning Outcomes
Upon completion of the program, graduates will be able to:

  • Goal 1: Apply critical thinking skills to solve the high-level supply chain analytical problems facing organizations.
    • Apply the knowledge of valuation of analytics to enhance value for supply chain practice. 
    • Demonstrate proficiency in linear programming, duality, sensitivity analyses, integer programming, and forecasting.
  • Goal 2: Effectively communicate in order to lead teams in problem solving.
    • Communicate effectively to lead collaboration among national and global partners.
    • Develop and demonstrate skills in effective negotiation to create contractual agreements. 
  • Goal 3: Apply supply chain principles to analyze and interpret data for planning, decision making and problem solving in a global supply chain environment. 
    • Apply international transportation strategies and processes to solve industry-related problems. 
    • Analyze and integrate multiple supply chain and logistics inputs to determine optimal warehouse and distribution solutions across a global network.