Data Science in Business (Certificate)
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Plan Requirements
| 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 | |||
| Data Management & Analysis | |||
| Introduction to R/Python for Data Science (顿厂颁听201 will not count for students who take 厂罢听308 as a coreq for 叠鲍厂听351.) | |||
| Machine Learning and AI | |||
| Exploring Machine Learning | |||
| Electives or Internships & Capstones | |||
| Data Wrangling and Web Scraping | |||
| See the published special topics list for courses accepted within a category | |||
| Introductory Special Topics in Data Science | |||
辞谤听顿厂颁听495 | Special Topics in Data Science | ||
辞谤听顿厂颁听595 | Graduate Special Topics in Data Science | ||
| Required Depth Courses: Two courses from the following | 6 | ||
| Introduction to Business Analytics (Prerequisites: 叠鲍厂听340 and [叠鲍厂听350, or 厂罢听312, or 厂罢听370, or 厂罢听372]; Corequisite: 厂罢听307 or 厂罢听308) | |||
| Analytics: From Data to Decisions (Prerequisite: 叠鲍厂听351) | |||
| NOTE 1: 顿厂颁听295, 顿厂颁听495, and 顿厂颁听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 | ||