Data Science Major Program
B.S., major in Data Science - Advanced Computer Science Track requirements (46 Credits):
| Code | Title | Credits |
|---|---|---|
| Data Science Foundations (19 credits) | ||
| MTH 245 | Calculus I | 4 |
| MTH 360 | Elementary Probability and Statistics | 3 |
| or MTH 361 | Probability and Statistics in the Health Sciences | |
| MTH 362 | Statistical Modeling | 3 |
| CSC 221 | Introduction to Programming | 3 |
| CSC 222 | Object-Oriented Programming | 3 |
| CSC 542 | Database Design and Security | 3 |
| Data Science Core (15 credits) | ||
| DSC 365 | Introduction to Data Science | 3 |
| DSC 465 | Machine Learning | 3 |
| DSC 565 | Building Generative AI Applications | 3 |
| DSC 599 | Data Science Senior Capstone | 3 |
| GDE 426 | Data Visualization | 3 |
Advanced Computer Science track (12 credits) | ||
| CSC 321 | Data Structures | 3 |
| CSC 548 | Software Engineering | 3 |
| Choose 2 of the following courses: | 6 | |
| Algorithm Design and Analysis | ||
| Social Networks Analytics | ||
| Introduction To Artificial Intelligence | ||
| Total Credits | 46 | |
B.S., Major in Data Science - Advanced Mathematics and Statistics Track requirements (47 Credits):
| Code | Title | Credits |
|---|---|---|
| Data Science Foundations (19 credits) | ||
| MTH 245 | Calculus I | 4 |
| MTH 360 | Elementary Probability and Statistics | 3 |
| MTH 362 | Statistical Modeling | 3 |
| CSC 221 | Introduction to Programming | 3 |
| CSC 222 | Object-Oriented Programming | 3 |
| CSC 542 | Database Design and Security | 3 |
| Data Science Core (15 credits) | ||
| DSC 365 | Introduction to Data Science | 3 |
| DSC 465 | Machine Learning | 3 |
| DSC 565 | Building Generative AI Applications | 3 |
| DSC 599 | Data Science Senior Capstone | 3 |
| GDE 426 | Data Visualization | 3 |
| Advanced Mathematics and Statistics track (13 credits) | ||
| MTH 246 | Calculus II | 4 |
| MTH 350 | Applied Linear Algebra and Differential Equations | 3 |
| Choose 2 of the following courses: | 6 | |
| Advanced Linear Algebra | ||
| Mathematical Statistics I | ||
| Mathematical Statistics II | ||
| Total Credits | 47 | |