The phrase “business analytics” refers to the process of using data and analytical techniques to improve decision making in a business environment. To some extent, all business courses teach business analytics. The objective of business analytics concentration is to teach students more advanced skills and techniques applied to discipline-specific and more general business problems.
Sponsored by: Mathematics, Analytics, Science, and Technology (MAST) and Operations and Information Management (OIM) Division
Faculty Contacts: Dessislava Pachamanova and Steven Gordon
Enrolled Before Fall 2021
Note: Students graduating with a Business Analytics concentration should take QTM2000 as part of their 2000 -level Liberal Arts core requirements.
Elective Courses
Choose three (3) of the following courses:
Enrolled Fall 2021 or Later
Required Courses
(8 or more credits in total)
All students who graduate with the Business Analytics concentration acquire advanced skills in two (2) key areas: 1) data management processes and programming concepts related to data collection, validation, and organization, and 2) advanced analytical techniques that enable extracting insights from data and modeling decisions based on such insights: machine learning, statistics, optimization, predictive modeling, forecasting, and visualization.
Requirement 1: Data Management and Programming Concepts
Choose at least one (1) course from the following. Taking additional courses in this group is encouraged and counts towards satisfying the Elective Courses requirement of the concentration.
Requirement 2: Advanced Data and Decision Modeling
Choose at least one (1) course from the following. Taking additional courses in this group is encouraged and counts towards satisfying the Elective Courses requirement of the concentration.
Elective Courses
(8 or more credits in total)