BS in Data Analytics
Degree Requirements for BS in Data Analytics
| Requirement | Credits |
|---|---|
| Undergraduate College Core Requirements | 40 credits* |
| Data Analytics Major | 37 credits |
| Early Fundamentals | |
| MATH 120 Computational Mathematics | (3 credits) |
| 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) |
| MATH 255 Ordinary Differential Equations | (3 credits) |
| Five Additional Upper-Level Electives from the Following: |
|
| 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 450 or Interdisciplinary DATA Capstone | (3 credits) |
| Electives | |
| Liberal Arts Electives | (13 credits) |
| Open Electives (Calculus I and II strongly recommended) |
(30 credits) |
| TOTAL | 126 credits |
*Please note: Six core credits in math and six core credits in humanities are satisfied with major requirements.