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Minors
Department of Computer Science Minors
The Minor in Artificial Intelligence, Minor in Computer Science and Minor in Computer Informatics are suitable for majors in other disciplines that are interested in a substantive computational foundation.
AI Minor
Back to top| Requirement | Course Name / Criteria |
| CS 110 | Computer Science Fundamentals |
| CS 211 | Intro to Artificial Intelligence |
| CS 312 | Computing AI, Ethics, and Society |
| One (1) course chosen from: | CS 323: Machine Learning Applications QTM 347: Casual Inference & ML CS 334: Machine Learning |
| One (1) course chosen from: | CS/QTM/LING 329: Computational Linguistics QTM 340: Data Science with Text SOC 446: Big/Small Data & Visualization |
| Two (2) courses chosen from: | Please click HERE for a list of possible electives |
CS Minor
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Computer Informatics Minor
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Minor Information
Back to topGPA Requirements
- All classes counting toward the degree must be taken for a letter grade.
- Students must meet the minimum GPA requirement of 2.0 to graduate with any major or minor from the department.
- Major/Minor GPA will be calculated using the better of the grades when a student repeats a course.
Useful Information
- The CS/AI minors cannot be combined with any other CS or AI major/minor.
- Students must successfully complete all prerequisite courses before enrolling in a course; this is a hard rule that cannot be bypassed. Course prerequisites are listed under the course information on Atlas.
- CS 170 is a viable substitution for CS 110 for the AI minor requirements.
- Students may count more than one CS 485 topics course towards the elective requirements as long as the subjects differ.
- CS 323: Machine Learning Applications was developed solely for the AI Minor and cannot be used as an elective for the CS minors.