Supply Chain Analytics

OIM

Supply chains (SCs) provide products and services to consumers and lie at the heart of global economies. Supply chain analytics focuses on a understanding of SC data for the efficient coordination of operations and choice of policies. The course covers concepts in customer service analytics, transport strategy, SC coordination, inventory management, and location strategy. The course will mostly involve team assignments, case studies, and SC simulation games.

Course Details

Spring 2026

This class is non-credit
Course Notes
OIM majors and Isenberg majors should monitor the course via SPIRE for seat availability. If you add yourself to the SPIRE wait list, please ensure you do not enroll in a course that conflicts with this course.

Honors Independent Study in OIM

OIM

Description not available at this time

Course Details

Spring 2026

This class is non-credit

Independent Study

OIM

Description not available at this time

Course Details

Spring 2026

This class is non-credit

Independent Study

OIM

Description not available at this time

Course Details

Spring 2026

This class is non-credit

Independent Study

OIM

Description not available at this time

Course Details

Spring 2026

This class is non-credit

Independent Study

OIM

Description not available at this time

Course Details

Spring 2026

This class is non-credit

Independent Study

OIM

Description not available at this time

Course Details

Spring 2026

This class is non-credit

Business Data Visualization and Dashboard Development with AI

OIM

This course is designed for business majors to be able to rapidly prototype software using modern LLMs. The course will focus on development of software that scrapes, cleans, and visualizes data using interactive frameworks such as Shiny and d3.js. Students should have a basic understanding of the fundamentals of AI in business as well as business intelligence and visualization, but prior programming expertise is otherwise not assumed.

Course Details

Spring 2026

This class is non-credit

Business Intelligence and Analytics

OIM

This course provides an introduction to business intelligence and analytics, including the processes, methodologies, infrastructure, and current practices used to transform business data into useful information and support business decision-making. Business Intelligence requires foundation knowledge in data models and data retrieval, thus this course will review logical data models for both relational database systems and data warehouses. Students will learn to extract and manipulate data from these systems using Structured Query Language (SQL). This course also covers visualization, reporting, and dashboard design with experiential learning using leading industry applications.

Course Details

Spring 2026

This class is non-credit
Course Notes
If the class is open, Isenberg majors can contact the Isenberg Undergraduate Programs Office at undergrad@isenberg.umass.edu if you meet the enrollment requisites and are unable to self-enroll or unable to add yourself to the Spire waitlist (if open as indicated by a yellow triangle). If you add yourself to the Spire waitlist, please ensure you do not enroll in a course that conflicts with this course or enroll in a maximum number of credits. Once the course and the Spire waitlist is full, OIM majors and Isenberg majors should monitor the course via SPIRE for seat availability. The Spire waitlist will stop promoting students about one week prior to the beginning of the semester. Once the Spire waitlist is no longer functional, students should monitor the class and self-enroll if a seat becomes available.

Business Intelligence and Analytics

OIM

This course provides an introduction to business intelligence and analytics, including the processes, methodologies, infrastructure, and current practices used to transform business data into useful information and support business decision-making. Business Intelligence requires foundation knowledge in data models and data retrieval, thus this course will review logical data models for both relational database systems and data warehouses. Students will learn to extract and manipulate data from these systems using Structured Query Language (SQL). This course also covers visualization, reporting, and dashboard design with experiential learning using leading industry applications.

Course Details

Spring 2026

This class is non-credit
Course Notes
If the class is open, Isenberg majors can contact the Isenberg Undergraduate Programs Office at undergrad@isenberg.umass.edu if you meet the enrollment requisites and are unable to self-enroll or unable to add yourself to the Spire waitlist (if open as indicated by a yellow triangle). If you add yourself to the Spire waitlist, please ensure you do not enroll in a course that conflicts with this course or enroll in a maximum number of credits. Once the course and the Spire waitlist is full, OIM majors and Isenberg majors should monitor the course via SPIRE for seat availability. The Spire waitlist will stop promoting students about one week prior to the beginning of the semester. Once the Spire waitlist is no longer functional, students should monitor the class and self-enroll if a seat becomes available.
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