Data Science in Business (Minor)
The Undergraduate Minor of Data Science in Business is a 15 credit interdisciplinary credential that offers a path towards developing essential skills in data science with depth in Business (BUS) content. Students who pursue this minor will have the opportunity to learn from data science instructors & practitioners, and Business faculty in industry & academia, alongside their peers from various colleges. Students will pursue courses in data management, communication, applications, ethics, business, and more, in addition to choosing from electives of interest.
NOTE: The Data Science in Business minor is NOT available to students in the Poole College of Management Business Analytics Concentration. See additional options听.
Contact
Data Science and AI Academy
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Plan Requirements
Required Courses
| Code | Title | Hours |
|---|---|---|
| Required DSA Courses: At least one course from each category | 6 | |
| Categories and Corresponding Category Numbers (in parentheses) | ||
Data Management & Analysis (1) | ||
Data Communication (2) | ||
Ethics, Policy, & Privacy (3) | ||
Machine Learning and AI (4) | ||
Electives or Internships & Capstones (5) | ||
| Course Options and Corresponding Category Notes | ||
| Introduction to R/Python for Data Science (Introduction to R/Python for Data Science (DSA听201 will not count for students who take ST听308 as a coreq for BUS听351)) (1) | ||
| Introduction to Data Visualization (2) | ||
| Data Communication (2) | ||
| Introduction to AI Ethics (3) | ||
| Data Science for Social Good (3) | ||
| Introduction to Data Science for Cybersecurity (3) | ||
| Measuring Success (1) | ||
| Data Wrangling and Web Scraping (5) | ||
| Exploring Machine Learning (4) | ||
| Introductory Special Topics in Data Science See semesterly list of special topics courses accepted within a category | ||
| Special Topics in Data Science See semesterly list of special topics courses accepted within a category | ||
| Graduate Special Topics in Data Science See semesterly list of special topics courses accepted within a category | ||
| Courses not used for a category requirement may be applied to fulfill "Electives or Internships & Capstones (5)" | ||
| Required Depth Courses | 9 | |
| Introduction to Business Analytics (Prerequisites: BUS听340 and [BUS听350, or ST听312, or ST听370, or ST听372]; Corequisite: ST听307 or ST听308) | ||
| Choose 2 of the following: | ||
| Database Management (Prerequisites: BUS听340 or ACC听340) | ||
| Analytics: From Data to Decisions (Prerequisite: BUS听351) | ||
| Business Analytics Practicum (Prerequisites: BUS听351 and BUS听458) | ||
| NOTE: Students pursuing multiple Data Science and AI Academy credentials must have at least 2 distinct 1-credit DSA courses and 2 distinct 3-credit depth courses between any two credentials (8 distinct credits total). | ||
| Total Hours | 15 | |