The Bachelor’s Degree in Computer Science in Artificial Intelligence requires the completion of at least 134 credits with a cumulative grade point average of 2.0 or higher. The degree spans eight semesters of 15 weeks each, for a total of four academic years. See the degree requirements for further information.
This is a sample course sequence for a student in the 2026-2027 academic year. This sequence should not be used for advising purposes; please contact us if you would like an up-to-date version of the curriculum.
| Semester | Course | Credits |
|---|---|---|
| Semester 1 | COL 101 College Life and Academic Skills | 1 |
| CS 100 Computer Environment | 4 | |
| CS 120 High-Level Programming I: The C Programming Language | 4 | |
| GAM 100 Introduction to Projects | 3 | |
| MAT 140 Linear Algebra and Geometry | 4 | |
| ENG 110 Composition | 3 | |
| Semester total | 19 | |
| Semester 2 | COM 150 Introduction to Communication | 3 |
| CS 170 High-Level Programming II: The C++ Programming Language | 4 | |
| CS 232 Introduction to Data Analysis | 3 | |
| GAM 150 Project I | 3 | |
| MAT 150 Calculus and Analytic Geometry I | 4 | |
| Semester total | 17 | |
| Summer Semester 3 | CS 180 Operating Systems I: Man-Machine Interface | 3 |
| CS 225 Advanced C/C++ | 3 | |
| CSP 200 Computer Science Project II | 4 | |
| MAT 200 Calculus and Analytic Geometry II | 4 | |
| Semester total | 14 | |
| Semester 4 | MAT 258 Discrete Mathematics | 3 |
| CS 280 Data Structures | 3 | |
| CS 372 Machine Learning and Artificial Intelligence I | 3 | |
| CSP 250 Computer Science Project II | 4 | |
| PHY 200 Motion Dynamics | 4 | |
| PHY 200L Motion Dynamics Lab | 1 | |
| Semester total | 18 | |
| Semester 5 | MAT 250 Linear Algebra | 3 |
| CS 330 Algorithm Analysis | 3 | |
| CS 373 Machine Learning and Artificial Intelligence II | 3 | |
| CSP 300 Computer Science Project III | 4 | |
| PHY 250 Waves, Optics and Thermodynamics | 4 | |
| PHY 250L Waves, Optics and Thermodynamics Lab | 1 | |
| Semester total | 18 | |
| Summer Semester 6 | MAT 340 Probability and Statistics | 3 |
| CS 211 Introduction to Databases | 3 | |
| CS 376 Deep Learning | 3 | |
| CSP 350 Computer Science Project III | 4 | |
| Ethics Elective Any ethics course | 3 | |
| Semester total | 16 | |
| Semester 7 | MAT 346 Predictive Modeling | 3 |
| CS 314 Distributed Data Management | 3 | |
| CS 370 Computer Image Processing | 3 | |
| CSP 400 Computer Science Project IV | 4 | |
| English Elective Any English course | 3 | |
| Semester total | 16 | |
| Semester 8 | STEM Elective Any CS, ECE, MAT, PHY or other STEM course | 3 |
| CS 374 Natural Language Processing | 3 | |
| CSP 450 Computer Science Project IV | 4 | |
| Humanities and Social Sciences Elective: HSS Any History or Social Sciences course | 3 | |
| Free Elective An elective course from any DigiPen department | 3 | |
| Semester total | 16 | |
| Degree total (minimum number of credits required) | 134 | |
