Bachelor of Business Administration in Supply Chain Analytics
The supply chain analytics major is designed to equip students with the knowledge and skills necessary to leverage data and model-driven methodologies and analytical techniques for improving supply chain operations, enhancing decision-making, and driving operational excellence. This major combines principles from operations management, data science, programming, and data analytics to prepare students for supply chain optimization careers in various industries.
UP Core Requirements — 40 credit hours
All University of Portland students progress through a set of shared course options as part of the University’s liberal arts Core Curriculum. This curriculum offers a foundation of multiple lenses to address enduring questions of human concern, integrating the liberal arts, the University mission, and the knowledge, skills, and values needed in a diverse society and in the workplace.
See UP Core Requirements
Two of the three core requirements in the Science & Problem Solving Habit are satisfied by ECN 120 and the mathematics requirements within the major.
BUS 250 and BUS 456 are the designated Writing in the Discipline courses for the B.B.A. in Supply Chain Analytics.
Business Requirements — 57 credit hours
Non-Business Courses - 12 credit hours
P4 Professional Development Requirements - 3 credit hours
| BUS 202 | Professional Development | 1 |
| BUS 302 | Internship Preparation | 1 |
| BUS 397 | Professional Development Internship | 1 |
Global Acumen Requirements - 4 credit hours
| BUS 360 | Cross Cultural Organizational Behavior and Ethics | 3 |
| BUS 496 | Meaningful International Experience | 1 |
Business Foundation Lower Division - 31 credit hours
| BUS 100 | Introduction to Leadership Skills | 3 |
| BUS 101 | Software Applications Workshop | 1 |
| BUS 104 | Math for Business and Analytics I | 2 |
| ECN 120 | Principles of Macroeconomics | 3 |
| ECN 121 | Principles of Microeconomics | 3 |
| BUS 200 | Principles of Marketing | 3 |
| BUS 204 | Math for Business and Analytics II | 1 |
| BUS 205 | Foundations of Finance | 3 |
| BUS 209 | Financial Accounting | 3 |
| BUS 210 | Managerial Accounting | 3 |
| BUS 250 | Legal and Social Responsibility in Business | 3 |
| BUS 255 | Introduction to Operations & Technology Management | 3 |
Business Foundation Upper Division - 7 credit hours
Major Requirements — 27 credit hours
Required Courses — 15 credit hours
Coding Course - 3 credit hours
Select one course from the following:
| BUS 449 | Python Programming for Business and Analytics | 3 |
| BUS 461 | R Programming for Business and Analytics | 3 |
| Approved Coding Course | 3 |
Major Electives - 9 credit hours
Select three courses from the following:
| BUS 356 | Database Management | 3 |
| BUS 449 | Python Programming for Business and Analytics | 3 |
| BUS 455 | Prescriptive Analytics | 3 |
| BUS 457 | Inventory Management | 3 |
| BUS 460 | Process Analysis & Quality Management | 3 |
| BUS 461 | R Programming for Business and Analytics | 3 |
| BUS 478 | Applied Machine Learning for Business | 3 |
| BUS 480 | Advanced Topics in Operations Analytics | 3 |
| BUS 481 | Simulation for Predictive and Prescriptive Analytics | 3 |
Any additional credit hours required to complete a minimum of 120 credit hours
Total Credit Hours: 120