B.S. in Data Analytics
Degree Requirements
B.S. in Data Analytics
| College Core Requirements | 40 credits* | |
| Data Analytics Major | 37 credits | |
| Early Fundamentals | ||
| DATA 201/MATH 250 Google Applied Computing I: Foundations of Python Programming |
(3 credits) | |
| DATA 202/MATH 251 Google Applied Computing II: How to Think Like a Data Scientist |
(3 credits) | |
| MATH 212 Biomedical Statistics | (4 credits) | |
| Intermediate Fundamentals | ||
| MATH 241 Linear Algebra I | (3 credits) | |
| DATA 300 Applied Statistics | (3 credits) | |
| PHIL 355 Ethics of Data and Artificial Intelligence | (3 credits) | |
| Five Additional Upper-Level Electives from the following: |
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| DATA 210 Digital Media Marketing | (3 credits) | |
| DATA 400 Data Mining | (3 credits) | |
| BUSN 300 Quantitative Methods | (3 credits) | |
| BUSN 303 Fundamentals of Information Science I | (3 credits) | |
| BUSN 316 Operations: Methods and Systems | (3 credits) | |
| BUSN 403 Fundamentals of Information Science II | (3 credits) | |
| MATH 217 Discrete Mathematics | (3 credits) | |
| MATH 242 Linear Algebra II | (3 credits) | |
| MATH 263 Computing I | (3 credits) | |
| Interdisciplinary DATA course | (3 credits) | |
| Capstone Course | ||
| MATH 451 or Interdisciplinary DATA Capstone | (3 credits) | |
| Electives | ||
| Liberal Arts Electives | (13 credits) | |
| Open Electives (Calculus I and II strongly recommended) |
(30 credits) | |
| TOTAL | 120 credits |
*In the New Curriculum, 6 core credits in Math and 6 core credits in Humanities are satisfied with Major requirements.