Program type:
Major
Format:
Online
AOP
Est. time to complete:
1-2 years
Credit Hours:
36
Help solve supply chain problems before they even happen.
In supply chain management, data-driven decision making is key to improving efficiency and effectiveness. Real-time analytics of how information flows is an important focal point for executives.
RequirementsWhy UNT Online?Tuition & AidHow to apply

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Why Earn a Supply Chain Analytics Master's?

An M.B.A. in Supply Chain Analytics at UNT prepares you to be a problem-solver in the complex supply chain system using predictive and prescriptive analytics. You will acquire advanced knowledge in strategic supply chain, harvesting, storing and retrieving data, strategic supply management, and many other areas.

An M.B.A. in Supply Chain Analytics supports growth and development from two perspectives: if you have an established career path, the program provides you the opportunity to gain the broader, more general perspective necessary for promotion to leading managerial positions; and if you're preparing to enter the business world, the combination of an undergraduate degree with an M.B.A. provides an excellent foundation for additional career opportunities.

Marketable Skills
  • Teamwork
  • Strategic integration of business subjects
  • Quantitative analysis of business situations
  • Apply principles of ethical conduct
  • Apply knowledge to business situations

Supply Chain Analytics Master's Highlights

Our faculty are highly regarded for their research interests and excellent teaching. Since many are active professionals in the Dallas – Fort Worth business community, they understand the complex demands of a global industry.
UNT's G. Brint Ryan College of Business is accredited by AACSB International — The Association to Advance Collegiate Schools of Business, which means it meets or exceeds strict academic standards for excellence in education.

Our Business Leadership Building — which has Gold-level Leadership in Energy and Environmental Design certification for sustainability — promotes interaction among students, faculty and industry leaders with its 24 classrooms, and team study rooms.

Through their research and executive development programs, faculty also routinely interact with major companies and corporations, including DHL, IBM, J.C. Penney, Lockheed Martin, PepsiCo, Verizon and other organizations such as the U.S. Department of Defense.
Evening and online courses allow you to combine coursework with full-time or part-time employment.

What Can You do With a Supply Chain Analytics Master's?

Career Possibilities:

  • Distribution Manager
  • Fleet Operations Manager
  • Industrial Engineers
  • Inventory Management
  • Loss Prevention Manager
  • Operations Research Analyst
  • Production and Expediting Manager
  • Purchasing Manager
  • Shipping, Receiving, and Track Manager
  • Storage and Distribution Manager
  • Transportation Manager
  • Warehouse Manager

Supply Chain Analytics Master's Courses You Could Take

Supply Chain Operations Management (3 hrs)
Delves into how the operations function helps firms gain competitive advantage by effectively producing and distributing their goods and services. Introduces operations analytics that help firms develop world class operational capabilities of innovation, quality, delivery, flexibility, and cost.
Industrial Distribution and Logistics Analysis (3 hrs)
Application of logistics decision-making skills as they apply to inventory, transportation, and warehouse management problems; utilizing CSCMP case studies.
Seminar in Business Ethics and Social Responsibility (3 hrs)Examines the strategic purposes of the firm as both an economic and social entity within the global marketplace. Topics include
ethics in business and ethical decision making, corporate social responsibility and corporate citizenship, and stakeholder management, including shareholders, employees, customers, the community, government, and the environment.
Introduction to Data Analytics (3 hrs)
Provides an introduction to fundamental concepts of data science, including data-informed decision making, research design, data acquisition and management, statistical analysis software and programming, communicating and operationalizing analysis results, and data ethics. Focuses on applications of data science methods in framing and answering strategic questions facing decision makers in a variety of organizations – from marketing to policing.
Harvesting, Storing and Retrieving Data (3 hrs)
Provides an introduction to collecting, storing, managing, retrieving and processing datasets. Techniques for large and small datasets are considered, as both are needed in data science applications. Traditional survey and experimental design principles for data collection as well as script-based programming techniques for large-scale data harvesting from third party sources are covered.
Strategic Supply Management (3 hrs)
Examines how organizations can move beyond the tactical and functional operations of purchasing to proactively and strategically design, establish, manage, and optimize the firm’s supply base of goods and services to improve both the organization’s financial success and overall supply chain performance.

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G. Brint Ryan College of Business
Department of Logistics and Operations Management
940-369-8977
MBACoB@unt.edu
Business Leadership Building, Room 201