Supply Chain Analytics, M.S.*

Program of Study

The Master of Science in Supply Chain Analytics program is a transformative educational journey, designed to equip students with an extensive toolkit of advanced analytical methods, cutting-edge technologies, and industry best practices. Through a comprehensive curriculum, students gain a deep understanding of supply chain dynamics, enabling them to streamline operations, reduce costs, and enhance the resilience and sustainability of supply chains.

Key Focus Areas

Optimizing Supply Chain Operations: Students learn how to identify inefficiencies, bottlenecks, and areas of improvement within supply chains. Through rigorous analysis and real-world case studies, they develop the expertise to optimize processes, reduce lead times, and improve resource allocation.
Data-Driven Decision-Making: In today’s data-rich environment, data is a valuable asset in supply chain management. Our program emphasizes the importance of data analytics, equipping students with the skills to gather, analyze, and interpret data to make informed decisions and drive supply chain improvements.
Sustainability and Efficiency: Sustainability is a core theme throughout the program. Students explore strategies for reducing environmental impact, enhancing sustainability, and ensuring ethical practices within supply chains.

Upon completion of this program, graduates are well-prepared to take on pivotal roles in supply chain management, logistics, and analytics. They are equipped to lead organizations in optimizing their supply chains, fostering innovation, and adapting to the ever-changing demands of the global marketplace. The program addresses the growing need for professionals who can navigate the complexities of modern supply chains and harness the power of data to drive efficiency, sustainability, and success in organizations of all sizes and industries. Our program emphasizes the importance of data analytics, equipping students with the skills to gather, analyze, and interpret data to make informed decisions and drive supply chain improvements.

*The Supply Chain Analytics, M.S. is offered through Extended Learning.

Program Student Learning Outcomes

Graduates of the Supply Chain Analytics, M.S. will be able to:

1. Articulate the important role of supply chain management and analytics in today’s business environment.
2. Identify the fundamental theories, practices, and concepts in supply chain management and analytics.
3. Apply knowledge of tactical tools, theories, and data-driven methodologies to solve supply chain problems through rigorous case studies and projects.
4. Analyze and improve supply chain systems and processes using business analytics tools and methods.
5. Develop lawful, ethical, and sustainable management plans for global supply chains.
6. Utilize diverse modes of inquiry to evaluate evidence, data, and social contexts across different areas of operations, supply chain management, and analytics.

Admission Requirements

1. Graduate Management Aptitude Test (GMAT) or Graduate Record Examination (GRE).
Minimum GMAT requirements:

• Total score of 500
• 30th percentile score in the Verbal and Quantitative sections
• 4.0 in the Analytical Writing and Integrated Reasoning sections
• GRE scores may be submitted for the GMAT requirement. The scores will be converted to comparable GMAT scores using the GRM Comparison Tool for Business Schools.
• Applicants who hold a master’s or a doctorate degree in a quantitative field may petition to waive the GMAT/GRE requirement. Applicants may be eligible for a GMAT/GRE waiver if they meet any of the following criteria:
• Successful completion of undergraduate or graduate-level courses in mathematics, statistics, data analysis, or other quantitative disciplines, demonstrating a strong foundation in these areas.
• A minimum of three years of substantial work experience in roles directly related to supply chain management, analytics, or similar fields, showcasing practical application of analytical skills.

2. A Grade Point Average (GPA) of B (3.0) or better in the last 60 graded semester units, from a WASC-equivalent university. Only regular courses from four-year colleges and/or universities will be used in calculating an applicant’s GPA. No extension courses or community college courses will be included.

Important Notes on Admission
Admission decisions will be made by the admission committee chosen by the program director in consultation with its faculty.
Students must satisfactorily meet the GMAT/GRE requirement before being admitted to the program.
All graduate applicants, regardless of citizenship, whose preparatory education was principally in a language other than English, must demonstrate competence in English. English proficiency may be demonstrated by tests such as TOEFL or IELTS. International graduate students must meet university proficiency minima as defined in this catalog.
The admission committee reviews applications not meeting all minimum requirements for an admission decision.

Graduation Requirements

Completion of the Supply Chain Analytics, M.S. requires:
(1) an overall GPA of at least a B average (3.0) in all coursework within the program,
(2) a minimum grade of C (2.0) in each course,
(3) advancement to candidacy, and
(4) fulfillment of the culminating experience requirement.

Advancement to Candidacy

To be considered for advancement, Supply Chain Analytics, M.S., students must be in good standing with an overall graduate GPA of at least a 3.0, and have no more than one (1) unit - OM 649  - remaining toward the completion of the program. Students will be reviewed for advancement to candidacy before they are enrolled in OM 649 .

Required Courses (33 Units)