Students majoring in Data Science must meet the following requirements for graduation. Note: a C- or better is required for all program prerequisites, unless otherwise stated. Students are required to maintain a GPA of 2.00 or better for all courses used to fulfill the Data Science major.
| Code | Title | Credits |
|---|---|---|
| University Curriculum 1 | 46 | |
| Modern Language Requirement | 3-6 | |
| Data Science Core Courses | 37 | |
| Introduction to Data Science | ||
| Programming and Problem Solving and Programming and Problem Solving Lab | ||
or CSC 106 | Introduction to Programming for Engineers | |
| Introduction to Python | ||
| Calculus I | ||
| Linear Algebra | ||
| Applied Statistics | ||
or EC 272 | Advanced Applied Statistics | |
| Econometrics | ||
| Algorithms for Data Science | ||
| Data Mining | ||
| Machine Learning | ||
| Data Science Capstone | ||
| Data Science Electives (Take two courses from the following list) | 6-8 | |
| Big Data | ||
| Advanced Econometrics | ||
| Database Systems | ||
| Calculus II: Part A and Calculus II: Part B | ||
| Calculus III | ||
| Minor Courses 2 | 18 | |
| Free Electives | 11-14 | |
| Total Credits | 120 | |
- 1
All students must complete the University Curriculum requirements.
- 2
Students enrolled in the Bachelor of Science in Data Science program are required to complete a minor (typically 18 credits) to complement the knowledge and skills developed in the major. Students may select a minor from any program within or outside of the College of Arts and Sciences.