Overview
Major Area of Specialization in Supply Chain Analytics (STEM)
The Department of Management offers a major area of specialization in Supply Chain Analytics for students pursuing a Bachelor of Science in Business Administration (BSBA) degree.
This undergraduate major in Supply Chain Analytics is structured to provide students with a robust understanding of modern supply chains, focusing on decision-making tradeoffs, analytical methods, and data-driven approaches to optimize supply chain operations. The curriculum is designed to equip students with essential skills for modeling complex supply chain problems and sourcing and analyzing data to drive efficiencies across business processes.
Students who pursue a major in Supply Chain Analytics will develop expertise in predictive and prescriptive analytics, enabling them to become skilled problem-solvers within intricate supply chain networks. The coursework deepens students' knowledge of how to help organizations identify opportunities for value-enhancing efficiencies, leveraging technology and data insights. Additionally, hands-on learning experiences allow students to work with real-world data, providing practical exposure to analyzing, modeling, and improving modern supply chain systems.
By integrating both theoretical knowledge and practical application, this STEM-designated major prepares graduates to meet the growing demand for professionals who can navigate and enhance today’s data-intensive supply chain environments.
Curriculum Requirements
In addition to satisfying the University General Education Requirements and Electives, students pursuing the BSBA in Supply Chain Analytics must complete the BSBA Business Core and the specific coursework for the Supply Chain Analytics major area of specialization as follows:
| Code | Title | Credit Hours |
|---|---|---|
| General Education Requirements 1 , 2 | ||
| Written Communication Skills: | ||
| WRS 105 | First-Year Writing I | 3 |
| WRS 106 | First-Year Writing II 3 | 3 |
| or ENG 106 | Writing About Literature and Culture | |
| Quantitative Skills: | ||
| Calculus I (fulfilled through the BSBA business core) | ||
| Areas of Knowledge: | ||
| Arts and Humanities Cognate | 9 | |
| People and Society Cognate | 9 | |
| STEM Cognate (9 credits) (fulfilled through the major) | ||
| Additional Requirements | ||
| UMX 100 | The University of Miami Experience | 0 |
| Electives | 12 | |
| BSBA Business Core Requirements 1 | ||
| ACC 211 | Principles of Financial Accounting | 3 |
| or ACC 221 | Accelerated Principles of Financial Accounting | |
| ACC 212 | Managerial Accounting | 3 |
| or ACC 222 | Accelerated Managerial Accounting | |
| BSL 212 | Introduction to Business Law and Ethics | 3 |
| BTE 210 | Fundamentals of Business Technology and Innovation | 3 |
| BTE 320 | Python Programming: Fundamentals and Algorithms | 3 |
| BUS 150 | Business Analytics | 3 |
| BUS 300 | Critical Thinking and Persuasion for Business 3 | 3 |
| ECO 211 | Principles of Microeconomics | 3 |
| ECO 212 | Principles of Macroeconomics | 3 |
| FIN 302 | Fundamentals of Finance | 3 |
| MAS 311 | Applied Probability and Statistics (minimum grade of C- required) | 3 |
| MAS 312 | Statistical Methods and Quality Control | 3 |
| MTH 161 | Calculus I (minimum grade of C- required; fulfills Quantitative Skills Requirement) | 4 |
| MTH 162 | Calculus II | 4 |
| MGT 100 | Managing for Success in the Global Environment | 3 |
| MGT 199 | Professional Development and Success in the Workplace (or other approved Miami Herbert Business School career course) | 1 |
| or BUS 211 | Professional Development for Finance and Accounting | |
| MGT 303 | Operations Management | 3 |
| MGT 304 | Organizational Behavior | 3 |
| MGT 401 | Strategic Management (taken in the final semester) | 3 |
| MKT 201 | Foundations of Marketing | 3 |
| or MKT 301 | Marketing Foundations | |
| Quantitative Choice - Select one of these suggested courses approved by the Vice Dean for Undergraduate Business Education - check pre-requisites: | 3 | |
| Object-Oriented Programming | ||
| Database Management Systems 6 | ||
| Applied Econometrics | ||
| Mathematical Economics and Applications | ||
| Introduction to Optimization and Decision Making 7 | ||
| Stochastic Models in Operations Research | ||
| Computer Simulation Systems 6 | ||
| Supply Chain Modeling and Analysis 7 | ||
| Supply Chain Strategy 7 | ||
| Major Area of Specialization in Supply Chain Analytics 4, 5, 8 | ||
| Operations Management (taken as part of the Business Core) | ||
| MAS 342 | Introduction to Optimization and Decision Making | 3 |
| MGT 445 | Supply Chain Modeling and Analysis | 3 |
| MGT 446 | Supply Chain Strategy | 3 |
| MGT 448 | Global Sourcing | 3 |
| MGT 451 | Supply Chain Analytics Practicum | 3 |
| Major Choice Courses - Select two courses (6 credit hours) from the following: 4, 8 | 6 | |
| Database Management Systems (pre-requisite BTE 320) | ||
| AI Programming for Business Management | ||
| Inventory and Supply Chain Management | ||
| Facilities Planning and Logistics | ||
| Data Acquisition, Preparation and Visualization | ||
| Data Analysis | ||
| Computer Simulation Systems | ||
or ISE 547 | Simulation Modeling and Systems Analysis | |
| Machine Learning for Analytics | ||
| Special Topics in Management (Topics related to Supply Chain Analytics ) | ||
| Marketing Research and Market Analysis | ||
| Marketing Analytics | ||
| Total Credit Hours | 120 | |
- 1
NOTE: WRS 105 and WRS 106 or ENG 106, or their equivalents, must be completed prior to attaining junior year classification, per the University General Education Requirements. MTH 161 or its equivalent must be completed prior to the 5th semester of coursework. All courses must be taken within the current prerequisite structure.
- 2
At least one course with an international focus must be completed within the degree requirements. The appropriateness of the course is determined by the Vice Dean for Undergraduate Business Education.
- 3
Students who do not earn at least a C- in WRS 106 or ENG 106 must either repeat WRS 106 or ENG 106 and earn at least a C- or complete WRS 230 with at least a C- before enrolling in BUS 300.
- 4
All specific coursework for the major area of specialization in Supply Chain Analytics must be completed with a grade of “C” or higher. A minimum cumulative GPA of 2.5 is required for all specific coursework taken in the major area of specialization.
- 5
Students intending to select the major must meet a minimum average 3.6 GPA in the following courses: MTH 161 (Precalculus), MAS 311 (Applied Probability and Statistics), and MAS 312 (Statistical Methods and Quality Control).
- 6
may not double count as both the Quantitative Choice and a Major Choice unless Supply Chain Analytics is an additional major
- 7
may not double count as both the Quantitative Choice and the major requirement unless Supply Chain Analytics is an additional major
- 8
No course may double count in any other major, minor, or cognate.
Sample Plan of Study
This Sample Plan of Study represents one possible version of a new first year business student’s 8-semester plan. The individual student's plan may vary depending upon the initial placement into Writing Studies and Mathematics. Moreover, numerous plan variations are possible if a student enters the University with advanced college credits, wishes to participate in study abroad, chooses a special program option, or selects additional majors or minors.
Note that each major/minor at the University of Miami satisfies a particular "Area of Knowledge" within the University's general education requirements. This means that it is possible to pursue two majors, or a major and a minor, within the Miami Herbert Business School and fulfill both the STEM and People and Society Areas of Knowledge; a separate cognate in these areas would not be required. The only remaining general education Area of Knowledge is Arts and Humanities, which must be completed through a major, minor, or cognate outside the Business School.
Students construct their individualized plans in collaboration with their assigned academic advisor.
| Freshman Year | ||
|---|---|---|
| Fall | Credit Hours | |
| ECO 211 | Principles of Microeconomics | 3 |
| MGT 100 | Managing for Success in the Global Environment | 3 |
| MKT 201 | Foundations of Marketing | 3 |
| MTH 161 | Calculus I | 4 |
| WRS 105 | First-Year Writing I | 3 |
| UMX 100 | The University of Miami Experience | 0 |
| Credit Hours | 16 | |
| Spring | ||
| BUS 150 | Business Analytics | 3 |
| ECO 212 | Principles of Macroeconomics | 3 |
| MTH 162 | Calculus II | 4 |
| WRS 106 or ENG 106 | First-Year Writing II or Writing About Literature and Culture | 3 |
| Arts and Humanities Cognate Course | 3 | |
| Credit Hours | 16 | |
| Sophomore Year | ||
| Fall | ||
| ACC 211 | Principles of Financial Accounting | 3 |
| BSL 212 | Introduction to Business Law and Ethics | 3 |
| BTE 210 | Fundamentals of Business Technology and Innovation | 3 |
| MAS 311 | Applied Probability and Statistics | 3 |
| Arts and Humanities Cognate Course | 3 | |
| Credit Hours | 15 | |
| Spring | ||
| ACC 212 | Managerial Accounting | 3 |
| BUS 300 | Critical Thinking and Persuasion for Business | 3 |
| FIN 302 | Fundamentals of Finance | 3 |
| MAS 312 | Statistical Methods and Quality Control | 3 |
| MGT 199 | Professional Development and Success in the Workplace | 1 |
| MGT 303 | Operations Management | 3 |
| Credit Hours | 16 | |
| Junior Year | ||
| Fall | ||
| BTE 320 | Python Programming: Fundamentals and Algorithms | 3 |
| MAS 342 | Introduction to Optimization and Decision Making | 3 |
| MGT 304 | Organizational Behavior | 3 |
| MGT 445 | Supply Chain Modeling and Analysis | 3 |
| Arts and Humanities Cognate Course | 3 | |
| Credit Hours | 15 | |
| Spring | ||
| MGT 446 | Supply Chain Strategy | 3 |
| MGT 448 | Global Sourcing | 3 |
| People and Society Cognate Course | 3 | |
| Elective | 3 | |
| Elective | 3 | |
| Credit Hours | 15 | |
| Senior Year | ||
| Fall | ||
| People and Society Cognate Course | 3 | |
| Quantitative Choice Course | 3 | |
| Supply Chain Analytics Major Choice Course | 3 | |
| Elective | 3 | |
| Elective | 3 | |
| Credit Hours | 15 | |
| Spring | ||
| MGT 401 | Strategic Management | 3 |
| MGT 451 | Supply Chain Analytics Practicum | 3 |
| People and Society Cognate Course | 3 | |
| Supply Chain Analytics Major Choice Course | 3 | |
| Credit Hours | 12 | |
| Total Credit Hours | 120 | |
Mission
- The mission of the Supply Chain Analytics program is to develop innovative ideas and principled leaders who will transform global business and society through data-driven, ethical, and impactful decision-making.
Goals
This STEM-designated program empowers students with the analytical, technical, and strategic capabilities needed to navigate and optimize complex, interconnected global supply chains, contributing to both business and societal advancement.
The BSBA in Supply Chain Analytics is designed to:
- Develop Analytical and Technical Proficiency
Equip students with the knowledge and skills necessary to analyze complex supply chain systems, utilizing predictive and prescriptive analytics, quantitative modeling, and data visualization to optimize performance and efficiency. - Enhance Strategic Decision-Making Abilities
Prepare students to make strategic decisions that balance cost, efficiency, and sustainability in diverse supply chain environments. This includes understanding trade-offs and the ability to apply analytical insights to solve complex business challenges. - Encourage Practical, Real-World Problem Solving
Provide hands-on, experiential learning opportunities through projects, case studies, and partnerships with industry, ensuring students can apply theoretical knowledge to real-world supply chain issues.
Student Learning Outcomes
- BBA/BSBA graduates will be critical thinkers, able to select and apply appropriate models, tools, and techniques, and frameworks to enable them to render analytically sound business decisions.
- BBA/BSBA graduates will be able to identify, analyze and resolve ethical issues in business scenarios.
- BBA/BSBA graduates will demonstrate professional written communication skills.
- BSBA graduates will have strong technical skills.
-
Upon successful completion of the program, students will be able to:
- Apply Supply Chain and Operations Theories
Students will demonstrate an understanding of key supply chain and operations management theories and apply them to real-world business contexts. - Source, Analyze, and Interpret Supply Chain Data
Students will be able to source, clean, analyze, and interpret supply chain data using industry-standard tools, and communicate their findings effectively to both technical and non-technical audiences. - Model and Optimize Supply Chain Processes
Students will demonstrate proficiency in building models to represent supply chain decision problems and applying optimization techniques to create effective solutions. - Identify and Address Supply Chain Challenges
Students will be able to identify critical issues in supply chain and operations management, such as demand forecasting, risk management, and sustainability, and formulate data-driven solutions. - Utilize Quantitative and Analytical Tools Proficiently
Students will be able to use analytical tools such as Python, R, SQL, and data visualization software to solve complex supply chain problems and support decision-making.
