Artificial Intelligence Major
University Degree Requirements
For complete details on these and other university degree requirements, refer to the Degree and Graduation Requirements section in the University Catalog.
- Minimum of 120 semester credits (some programs may exceed this minimum).
- Complete the University General Education requirements.
- Minimum institutional GPA of 2.00 based on work taken at NDSU.
- Minimum of 30 credits in resident at NDSU.
- Minimum of 36 upper level credits (courses numbered 300 or higher).
- Students with transfer credit must meet the NDSU 30 credits in residence (#4). Of these 30 credits in residence, a minimum of 15 credits must be in courses numbered 300 or above, and 15 credits must be in the student's declared major curricula.
University General Education Requirements
A list of university approved general education courses along with the administrative policies governing the requirement and the categories is available
| Code | Title | Credits |
|---|---|---|
| Category C: Communication | 12 | |
| Category R: Quantitative Reasoning | 3 | |
| Category S: Science and Technology | 10 | |
| Category A: Humanities and Fine Arts | 6 | |
| Category B: Social and Behavioral Sciences | 6 | |
| Category W: Wellness | 2 | |
| Category D: Cultural Diversity | ||
| Category G: Global Perspectives | ||
| Category L: Digital Literacy | ||
| Total Credits | 39 | |
Major Requirements
A grade of C or better is required for all CSCI or AI prefix courses.
| Code | Title | Credits |
|---|---|---|
| Core Requirements | ||
| CSCI 121 | Artificial Intelligence for Everyone | 3 |
| CSCI 161 | Computer Science II | 4 |
| CSCI 170 | Social Impacts of Artificial Intelligence | 3 |
| CSCI 213 | Modern Software Development With AI Tools | 3 |
| CSCI 222 | Discrete Mathematics | 3 |
| CSCI 227 | Computing Fundamentals in Python I | 3 |
| or CSCI 160 | Computer Science I | |
| CSCI 228 | Computing Fundamentals in Python II | 3 |
| CSCI 277 | Introduction to UNIX | 3 |
| CSCI 305 | Principles of Cybersecurity | 3 |
| CSCI 312 | Survey of Programming Languages | 3 |
| or CSCI 372 | Comparative Programming Languages | |
| CSCI 313 | Software Development with Frameworks | 3 |
| CSCI 366 | Database Systems | 3 |
| CSCI 420 | Introduction to Data Science in Python | 3 |
| CSCI 421 | Natural Language Processing and Large Language Models | 3 |
| CSCI 422 | Fundamentals of Data Engineering | 3 |
| CSCI 424 | Privacy and Data Security in Artificial Intelligence | 3 |
| CSCI 425 | Machine Learning | 3 |
| CSCI 426 | Introduction to Artificial Intelligence | 3 |
| CSCI 436 | Computational Intelligence | 3 |
| CSCI 445 | Software Projects Capstone | 3 |
| CSCI 450 | Cloud Computing | 3 |
| CSCI 488 | Human-Computer Interaction | 3 |
| COMM 112 | Understanding Media and Social Change | 3 |
| ENGR 327 | Ethics, Engineering, and Technology | 3 |
| MATH 129 | Basic Linear Algebra | 3 |
| MATH 165 | Calculus I | 4 |
| MATH 166 | Calculus II | 4 |
| PSYC 111 | Introduction to Psychology | 3 |
| STAT 367 | Probability | 3 |
| STAT 368 | Statistics | 3 |
| Technical Electives | ||
| Select two courses from the following: | 6 | |
| Introduction to Robotics | ||
| Cybersecurity in the Age of Artificial Intelligence | ||
| Computer Vision and Multimodal Artificial Intelligence | ||
| Hardware Design for Machine Learning | ||
| Statistics for Data Science using R | ||
CSCI or AI | Any 400 level CSCI or AI prefix course not listed as a core requirement | |
| Total Credits | 99 | |