Program Overview

Supply Chain Analytics - Master of Science (MS)

The ten-month supply chain analytics master’s program combines instruction in operational strategy and tactics with preparation in the business analytics of global supply chains. The degree prepares professionals for a career in value identification and delivery through extended global supply chain partners. Content focuses on all five of the accepted (SCOR model) disciplines of supply chain management: plan, buy, make, move, and sell/return/reverse. Online option and new certificate offerings are available as well.

Distance Education Option via Online+

Students may enroll in the MS Business Analytics (BUAN) or MS Supply Chain Analytics degree program through distance education (online) and complete the degree requirements established for each MS program. Distance education offers regularly scheduled on-campus graduate courses to remote off-campus (distance) students using advanced virtual and video-conferencing technology. Distance students participate both synchronously (at a scheduled delivery time) and asynchronously (no scheduled delivery time). Instructors, courses, assignments, projects, exams, and evaluations are identical for on-campus and off-campus students. Online+ courses are term-based (i.e., follows the regular academic schedule) and structured to maximize student engagement with faculty and other online+ students to support student success and degree completion.

Designed for working professionals, the online option allows students to enroll part-time and follows the same curriculum as the on-campus degree option. Please see degree requirements and plan(s) of study specific to business analytics or supply chain analytics. Based on circumstance and timeline to degree completion, students enroll in one or two courses each semester, completing the degree in two years.

Requirements

Admission Requirements

Admissions guidelines and application details are outlined on the master's programs admissions website. Admission to the program may recommend or require preparation or refresher courses in statistics, math, and business.

Experiential Projects

The experiential project pairs students with clients in industry to work on important practical problems in supply chain management. Students work under the supervision of faculty and meet together weekly to discuss progress, jointly work on problems, and to share experiences. This hands-on project management experience prepares graduates to make an immediate meaningful contribution in the workplace.

Course Requirements

• Course List Code: Title - Credit Hours
  • MSBX 5405: Structured Data Modeling and Analysis - 3
  • MSBC 5070: Survey of Business Analytics - 3
  • MSBX 5410: Fundamentals of Data Analytics - 3
  • MSBX 5435: Planning and Production - 1.5
  • MSBX 5450: Transportation and Logistics - 3
  • MSBC 5460: Supply Chain Strategy - 3
  • MSBX 5470: Procurement and Contracting - 1.5
  • MSBC 5480: SCMN Experiential Projects - 3
  • MBAX 6843: Supply Chain and Operations Analytics - 3
  • MSBC 5180: Machine Learning in Python - 3
  • Electives - 6
    • MSBX 5415: Advanced Data Analytics
    • MSBC 5680: Optimization Modeling
    • MBAX 6330: Market Intelligence
    • MSBC 5020: Financial Accounting
    • MBAX 6560: Executive Leadership
    • MBAX 6410: Process Analytics
    • MBAX 6440: Project Management
    • MBAX 6530: Negotiating and Conflict Management
    • MSBX 5310: Customer Analytics
    • MSBX 5420: Unstructured and Distributed Data Modeling and Analysis
    • MBAX 6801: Global Perspectives Seminar
    • MBAX 6350: Digital Marketing
    • MBAX 6360: New Product Development
    • MBAX 6450: International Operations Management
    • MSBC 5190: Modern Artificial Intelligence: Introduction to AI for Business
• Total Credit Hours: 33

Plan of Study

The sample one-year plan of study found below is restricted to students who are not working professionals. Students who are working professionals enrolled in the online+ degree will engage a two-year plan of study.

• Summer Review:
  • MSBX 5410: Fundamentals of Data Analytics - 3
  • MSBC 5070: Survey of Business Analytics - 3
  • Total Credit Hours: 6
• Fall Semester:
  • MSBX 5405: Structured Data Modeling and Analysis - 3
  • MSBX 5450: Transportation and Logistics - 3
  • MSBC 5460: Supply Chain Strategy - 3
  • MSBC 5180: Machine Learning in Python - 3
  • Elective (see Requirements tab) - 3
  • Total Credit Hours: 15
• Spring Semester:
  • MSBX 5435: Planning and Production - 1.5
  • MSBC 5480: SCMN Experiential Projects - 3
  • MBAX 6843: Supply Chain and Operations Analytics - 3
  • Elective (see Requirements tab) - 3
  • MSBX 5470: Procurement and Contracting - 1.5
  • Total Credit Hours: 12
• Total Credit Hours: 33

Learning Outcomes

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

• Manage, analyze, and interpret supply chain risks, and create strategies to minimize costs while improving efficiency.
• Work as part of cross-functional global teams to address supply chain challenges involving suppliers, logistics, and manufacturing.
• Assess tradeoffs between onshore and offshore suppliers, calculating the impact on inventory, costs, and service levels.
• Assess the societal and environmental impacts of logistics, with a focus on ethical decision-making in supply chain operations.
• Interpret the role of forward/reverse logistics and recommend strategies to enhance sustainability and ethical outcomes in supply chains.
• Demonstrate effective oral and written communication skills by presenting data-driven insights and persuasive executive summaries to stakeholders.
• Interpret industry data and perform structured analysis to develop recommendations for outsourced manufacturing, network design, procurement, and spend analysis.
• Recognize key terms and apply methods to solve supply chain problems related to logistics, demand forecasting, and inventory management.
• Develop models and analyze data to solve logistics problems and make informed decisions about inventory and demand forecasts.