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.
Plan Requirements
Required Courses
| Code | Title | Hours | Counts towards |
|---|---|---|---|
| Required DSC Courses: At least one course from each category | 6 | ||
| Data Communication | |||
| Introduction to Data Visualization | |||
| Data Communication | |||
| Ethics, Policy, & Privacy | |||
| Data Science for Social Good | |||
| Introduction to Data Science for Cybersecurity | |||
| Data Management & Analysis | |||
| Introduction to R/Python for Data Science (¶Ù³§°äÌý201 will not count for students who take ³§°ÕÌý308 as a coreq for µþ±«³§Ìý351) | |||
| Machine Learning and AI | |||
| Exploring Machine Learning | |||
| Electives or Internships & Capstones | |||
| Data Wrangling and Web Scraping | |||
| Required Depth Courses | 9 | ||
| Introduction to Business Analytics (Prerequisites: µþ±«³§Ìý340 and [µþ±«³§Ìý350, or ³§°ÕÌý312, or ³§°ÕÌý370, or ³§°ÕÌý372]; Corequisite: ³§°ÕÌý307 or ³§°ÕÌý308) | |||
| Choose 2 of the following: | |||
| Database Management (Prerequisites: µþ±«³§Ìý340 or ´¡°ä°äÌý340) | |||
| Analytics: From Data to Decisions (Prerequisite: µþ±«³§Ìý351) | |||
| Business Analytics Practicum (Prerequisites: µþ±«³§Ìý351 and µþ±«³§Ìý458) | |||
| NOTE 1: Students pursuing multiple Data Science Academy credentials must have at least 2 distinct 1-credit DSC courses and 2 distinct 3-credit depth courses between any two credentials (8 distinct credits total). | |||
| NOTE 2: Per university requirements courses already used to satisfy two or more credit requirements cannot also be used to satisfy the data science certificate (or any third requirement). | |||
| Total Hours | 15 | ||