Program Overview

Overview

The Supply Chain Analytics Graduate Certificate program is designed to provide students with the necessary background and skills in the fundamentals of supply chain analytics. The program is intended for non-degree students, including working professionals, and allows them to enroll part-time and advance at their own pace.

Requirements

To be considered for the graduate certificate, applicants must possess an undergraduate degree. The following are the admission requirements:

• An undergraduate degree from an accredited institution of higher education
• A course prerequisite, which can be satisfied by:
  • Successful completion of MSBC 5460 (or similar coursework at another university)
  • Successful completion of the non-credit Coursera course Supply Chain Management Strategy
  • Relevant work experience
• Additional materials:
  • Statement of purpose (1-2 pages) explaining how the supply chain analytics graduate certificate will further their professional and/or personal interests
  • Formal transcript from an accredited institution of higher education showing proof of completion of an undergraduate degree
  • Current resume
  • One letter of recommendation

Courses

The supply chain analytics certificate courses comprise the major foundational topics in any supply chain management curriculum. The courses are:

• MSBC 5070: Survey of Business Analytics (3 credit hours)
• MSBC 5180: Machine Learning in Python (3 credit hours)
• Choose 2 from the following:
  • MSBC 5190: Modern Artificial Intelligence: Introduction to AI for Business
  • MBAX 6410: Process Analytics
  • MBAX 6843: Supply Chain and Operations Analytics Total credit hours: 12

Plan(s) of Study

New students will work out a plan with an advisor to meet all certificate requirements in their desired timeline. Some courses are only offered in specific semesters. Students will choose 2 of the following 3 classes in the spring: MBAX 6843, MBAX 6410, and MSBC 5190.

Learning Outcomes

By the completion of the program, students will be able to:

• Explain the principles and techniques of data management, exploration, and visualization
• Demonstrate proficiency in analytics software and tools
• Understand and make recommendations regarding ethical impacts of supply chain decisions
• Interpret and present data-driven insights clearly and effectively to stakeholders
• Build analytical models to solve real-world supply chain problems

The program is designed to provide students with the knowledge to expand their careers as analysts in supply chain network design, logistics, purchasing and procurement, inventory and production control, transportation network design, facilities location planning, demand forecasting, long-term aggregate planning, and sub-specialties therein.