Program specific information for MS in Supply Chain Management students can be found at the links below:
Fall 2026 Cohort
| Fall Semester (12 credits) | ||
| Term A: | ||
| BULM 700 | Business Fundamentals for Supply Chain Managers I | 2 credits |
| BULM 710 | Data Driven Decision Making I | 2 credits |
| BULM 721 | Global Supply Chain Management | 2 credits |
| Term B: | ||
| BULM 701 | Business Fundamentals for Supply Chain Managers II | 2 credits |
| BULM 711 | Data Driven Decision Making II | 2 credits |
| BULM 742 | Global Supply Chain Resources Planning | 2 credits |
| Spring Semester (10 credits) | ||
| Term C: | ||
| BULM 731 | Technology Applications in Supply Chain Management | 2 credits |
| BULM 754 | Global Transportation Management | 2 credits |
| BULM 758N | Introduction to Supply Chain Sustainability | 2 credits |
| Term D: | ||
| BULM 735 | Project Management in Dynamic Environments | 2 credits |
| BULM 758D | Buyer-Supplier Relations | 2 credits |
| Fall Semester (8 credits) | ||
| Term A: | ||
| BULM 761 | Assessing & Managing Supply Chain Risks | 2 credits |
| BULM 750 | Lean Six Sigma for the Supply Chain I | 2 credits |
| Term B: | ||
| BULM 751 | Lean Six Sigma for the Supply Chain II | 2 credits |
| BULM 756 | Supply Chain Strategy | 2 credits |
The MS in Supply Chain Management program is a total of 30 credits. Courses are subject to change.
The curriculum is designed to be completed in 3 semesters. Students interested in an accelerated program (completion in 2 semesters) should their academic advisor and make appropriate schedule adjustments before the start of the first semester.
Students join the MS in Supply Chain Management program with a variety of technical skills and educational and professional backgrounds. The resources below have been compiled to assist incoming new MS in Supply Chain Management students with preparing for their fall coursework.
All UMD students have unlimited complimentary access to LinkedIn Learning, an online library of >60,000 videos, courses, and career development paths focused on the latest software, creative, and business skills.
View Recording of June 26 MS in Supply Chain Management Pre-Skills Student Chat
Required Asynchronous Courses for Students without Microsoft Excel Proficiency
- LinkedIn Learning: Excel Essential Training
- LinkedIn Learning: Excel: Introduction to Formulas and Functions
- LinkedIn Learning: Using Solver for Decision Analytics
LinkedIn Learning: Excel Supply Chain Analysis: Solving Transportation Problems
Pre-Skills Assignments for BULM 710: Data Driven Decision Making I with Professor Kim
BULM 710: Data Driven Decision Making I (DDDM) will focus on analytical principles that can guide complex decision-making. A strong understanding of statistics will be critical to successfully completing the course. To prepare for coursework, students should complete the following prior to the first day of class:
- LinkedIn Learning: Statistics Foundations 1: The Basics
- LinkedIn Learning: Statistics Foundations 2: Probability
There will be an in-person workshop offered for BULM 710 with Professor Kim during New Student Orientation. This workshop will be provided at no cost and will provide an essential foundation for success in this course.
Additional Optional Assignments and Reading
Incoming students do not need to be proficient with all of these tools prior to the start of classes, however, having some prior experience could help them learn more effectively.
- Business Writing and Communications
- Tableau
Access/download at https://www.tableau.com/academic/students; free for academic use when using @umd.edu email address - Power BI
- Python
Access/download at https://www.anaconda.com/download (also available on vSmith at https://go.umd.edu/vsmith-setup)- LinkedIn Learning Course: Python Quick Start
- LinkedIn Learning Course: Python Statistics Essential Training
- LinkedIn Learning Course: Advanced Python
- Books
- Python for Data Analytics: A Business-Oriented Approach (by Daniel H. Groner)
- Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Jupyter, 3rd Edition (by Wes McKinney)
- SQL
Access at http://vsmith.umd.edu - R & R Studio
Access/download at https://www.rstudio.com/
Wednesday, May 27, 2026
Failure to register within one week of receiving instructions may result in the termination of admission to the program. Please review all of the information on this page.
HOW TO REGISTER
Directory ID and password must be set BEFORE registration; see Directions for Setting Up Directory ID and Password.
Step 1: Go to Testudo (Office of the Registrar website)
http://www.testudo.umd.edu/
Click on: Registration (Drop/Add)
Enter your Directory ID and Password
Select: Fall 2026
Step 2: Enter Registration Information
Testudo will not allow students to register for courses individually. All MS in Supply Chain Management students are assigned to the same courses for the fall semester. Enter the following information in the "Registration (Drop/Add)" screen of Testudo to register for courses.
| Course | Section | Grading Method | Credits |
|---|---|---|---|
MSBS99MB | MB11 | None | Leave blank |
Click "Submit Changes" to complete registration.
Step 3: Confirm Courses
Click "View Schedule" to confirm registration based on the schedule below.
COURSE SCHEDULE
Courses are completed in 7-week sessions referred to as "terms". Term A meets August through October, and Term B meets October through December; for specific dates, review the Academic Calendar. Registration is set up for a 3-semester program completion (graduation in December 2027). Students who wish to accelerate and complete the program in 2 semesters (graduation in May 2027) should contact Gabrielle (Gigi) Gibson for additional registration guidance.
BULM 700 0501: Business Fundamentals for Supply Chain Managers I (2 credits) BULM 721 0501: Global Supply Chain Management (2 credits) BULM 710 0501: Data Driven Decision Making I (2 credits) | BULM 701 0501: Business Fundamentals for Supply Chain Managers II (2 credits) BULM 742 0501: Global Supply Chain Resources Planning (2 credits) BULM 711 0501: Data Driven Decision Making II (2 credits) |
Please direct questions to Gabrielle (Gigi) Gibson. For general registration information, please see the Registration FAQ.
The schedule is subject to change.
Tuition & Fee information, including due dates and residency information can be found at:
