Data Science in Business (Certificate)
The Undergraduate Certificate of Data Science in Business is a 12 credit interdisciplinary credential that offers a path towards developing essential skills in data science with depth in Business (BUS) content. Students who pursue this certificate will have the opportunity to learn from data science instructors, practitioners, and Business faculty in industry and 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.
Contact
Data Science Academy
Plan Requirements
| Code | Title | Hours |
|---|---|---|
| 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 | ||
| Data Management & Analysis | ||
| Introduction to R/Python for Data Science (DSC 201 will not count for students who take ST 308 as a coreq for BUS 351.) | ||
| Machine Learning and AI | ||
| Exploring Machine Learning | ||
| Electives or Internships & Capstones | ||
| Data Wrangling and Web Scraping | ||
| Required Depth Courses: Two courses from the following | 6 | |
| Introduction to Business Analytics (Prerequisites: BUS 340 and [BUS 350, or ST 312, or ST 370, or ST 372]; Corequisite: ST 307 or ST 308) | ||
| Analytics: From Data to Decisions (Prerequisite: BUS 351) | ||
| See the published special topics list for courses accepted within a category | ||
| Introductory Special Topics in Data Science | ||
or DSC 495 | Special Topics in Data Science | |
or DSC 595 | Graduate Special Topics in Data Science | |
| NOTE 1: DSC 295, DSC 495, and DSC 595 courses must be individually approved for the certificate. | ||
| NOTE 2: 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 3: 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 | 12 | |