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Supply Chain Analytics, MS

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100% online

Complete in one year full-time or two years part-time study

No Application Deadline

Begin any semester or term

Complete in 30 credits*

Dual MBA with just 48 credits

AACSB accredited

The John L. Grove College of Business is internationally accredited by the most prestigious business-accrediting agency, AACSB International - The Association to Advance Collegiate Schools of Business. Shippensburg University offers small class sizes and plenty of opportunities for one-on-one contact with faculty members. Classes are taught by professionals with both a strong theoretical understanding of business administration and a working knowledge of modern accounting practices. Our faculty has a diverse range of professional backgrounds, including government financial management, personal finance, portfolio analysis and more.

In addition to the application and transcript(s), Supply Chain Analytics applicants must submit:

  • Resume
  • Personal Statement

Students can begin the program during the spring, summer, or fall terms. Once the application is complete, the Business Department will begin the review process and make a prompt decision.

The 30-credit Master of Science in Supply Chain Analytics will serve those working professionals in supply chain who want to optimize their supply chains through the use of “big data” and analytics. The program is 100% online to accommodate working professionals.

The program combines the analytical decision-making tools used in supply chain with the data analytic tools used to analyze big data to form a supply chain analytics program. Graduates are prepared to stand out in this growing field.

  • You will gain the capability of analyzing data to determine trends, forecast, and analyze performance yet also have the skills available to aide in decision making.
  • You will learn descriptive, predictive, and prescriptive analytical techniques.

Course work for Supply Chain Analytics, MS

The John L. Grove College of Business offers a 30-credit Master of Science in Supply Chain Analytics. The program is 100% online to accommodate working professionals. For course descriptions, please visit the catalog.

  • MBA 506 - Data Mining for Predictive Analytics I 
  • MBA 507 - Data Mining for Predictive Analytics II 
  • MBA 533 - Business Operations and Logistics Planning 
  • SCMG 592 - Simulation Models for Supply Chain Design 
  • SCMG 595 - Demand Management 
  • SCMG 598 - Corporate Applications of Supply Chain Analytics 

  • MBA 565 - Contemporary Decision Making 
  • MBA 575 - Global Supply Chain Management 
  • MBA 577 - Supply Chain Management 
  • SCMG 510 - Logistics and Transportation Management 
  • SCMG 515 - Procurement Management 
  • SCMG 555 - Supply Chain Quality Management 
  • SCMG 570 - Supply Chain Management Theory and Practice 
  • SCMG 590 - Warehousing and Distribution Management 

Want us to contact you?

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Contact the Finance and Supply Chain Management Department

Grove Hall 228 Phone: 717-477-1434