Data Science, B.A.
I. Program Requirements
Fifty-nine to sixty-one (59-61) semester credits, including:
A. Mathematics Courses (18-20 credits):
| MA 131 | Calculus of Single Variable Functions | 4 |
| | or | |
| MA 121 | Differential Calculus | 3 |
| | and | |
| MA 122 | Integral Calculus | 3 |
| | | |
| MA 141 | Introduction to Mathematical Modeling | 4 |
| MA 315 | Probability and Statistics | 3 |
| MA 321 | Math in the Mountains | 3 |
| MA 334 | Adv Diff Equations & Linear Algebra | 4 |
B. Computer Science Courses (24 credits):
| CS 111 | Introduction to Computer Programming | 3 |
| CS 112 | Object-Oriented Program Design | 3 |
| CS 211 | Data Structures and Algorithms | 3 |
| CS 230 | Software Engineering (WI) | 4 |
| CS 251 | Introduction to Linux | 3 |
| CS 310 | Database Design | 4 |
| CS 410 | Operating Systems | 4 |
C. Data Courses (18 credits):
| DS 201 | Introduction to Data Science | 3 |
| BA 309 | Operations Research | 3 |
| DS 325 | Advanced Statistics for Data Science WI | 3 |
| DS 401 | Machine & Statistical Learning | 3 |
| DS 405 | Computing for Data Science | 3 |
| DS 430 | Senior Project | 3 |
II. Core Curriculum Recommendations
Recommended Courses:
We recommend that Data Science students complete the following courses toward their Core Curriculum requirements:
To earn a Bachelor of Arts degree with a major in data science, a student must earn a grade of “C-” or better in all of the courses listed. A lesser grade in any of these courses must be replaced before the Bachelor of Arts degree with a major in data science will be granted. In addition, lesser grades in any of these courses preclude taking subsequent courses for which the deficient courses are prerequisite.