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CS Major with AI Concentration (BS)

The BS in Computer Science, AI Concentration integrates algorithmic learning and intelligent decision making into a study of the theory and practice of computing.

GPA Requirement

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.

Course Requirements

(A CS major cannot be combined with a CS or AI minor.)

Bachelor of Science in Computer Science with Artificial Intelligence Concentration

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Overview of program
RequirementCourse Name / Criteria
Math 111Calculus I
Math 112Calculus II
Math 221Linear Algebra
CS 170Introduction to Computer Science I
CS 171Introduction to Computer Science II
CS 224Foundations of Computer Science
CS 253Data Structures and Algorithms
CS 255Computer Architecture and Machine Level Programming
CS 325Artificial Intelligence
CS 326Analysis of Algorithms
CS 329Computational Linguistics
CS 334Machine Learning
CS 350Systems Programming
CS 371WResearch Practicum in AI
One (1) course chosen from:

Any 300-level CS classroom course not taken above.

As an option, one of the following Math courses may be substituted for the 300-level CS course:

Math 346: Linear Optimization

Math 347: Non-Linear Optimization

Math 361: Probability & Statistics I

Math 362: Probability & Statistics II

Two (2) courses chosen from:

CS 442: Computer Vision

CS 443: Neural Networks

CS 444: Deep Learning

CS 470: Data Mining

One (1) course chosen from:

Any 400-level CS classroom course not taken above