DSCI.BS - BS in Data Science
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Degree Requirements
University Core
University Core Requirements | 37 |
Elective Courses
Choose one (1) course from
CS 405 | Artificial Intelligence | 3 |
CS 450 | Modeling and Simulation | 3 |
MATH 420 | Linear Algebra II | 3 |
DSIM 420 | Visual Analytics, Capstone | 3 |
Required Courses
Students pursuing a degree in data science must complete the following required courses in Mathematics (MATH) and Computing Science (CS), one relevant upper-level MATH or CS elective, and a minor in a discipline outside of the Mathematics and Computing Sciences departments. A minimum grade of “C” is required in any course used as a prerequisite for these courses.
CS 158 | Fundamentals of programming | 4 |
CS 260 | Object-Oriented Programming | 4 |
CS 307 | Python Programming | 3 |
CS 342 | Data Structure | 3 |
CS 360 | Database Design & Development | 3 |
CS 451 | Applied Data Mining | 3 |
MGT 301 | Principles of Management | 3 |
MATH 140 | Calculus I | 4 |
MATH 141 | Calculus II | 4 |
MATH 150 | Introduction to Discrete Structures | 3 |
MATH 270 | Introduction to Data Science | 3 |
MATH 315 | Probability | 3 |
MATH 316 | Applied Statistics | 3 |
MATH 320 | Linear Algebra | 3 |
MATH 470 | Machine Learning Algorithms | 3 |
MATH 475 | Models and Simulation for Data Science | 3 |
MATH 481WS | Data Science Capstone I | 3 |
MATH XXX Choose one of the following
MATH 390 | Internship | 1-12 |
MATH 490 | Internship | 1-12 |
MATH 482WS | Data Science Capstone II | 3 |
MATH 487RI | Independent Study | 3 |
MATH 488RI | Independent Study | 1-3 |
Total Credit Hours: | 3 | |
Elective Choose one of the following:
CS 405 | Artificial Intelligence | 3 |
CS 450 | Modeling and Simulation | 3 |
MATH 240 | Calculus III | 4 |
MATH 420 | Linear Algebra II | 3 |
DSIM 420 | Visual Analytics, Capstone | 3 |
Total Credit Hours: | 3-4 | |
Total Credit Hours: 6-7
Total Credit Hours: 120