Applied Artificial Intelligence Minor

Print Degree Planner (opens a new window) |

The Applied Artificial Intelligence Minor equips students with the computational, statistical, and machine learning skills necessary to apply AI across diverse disciplines. The program emphasizes both foundational methods (numerical computation, data analysis, and algorithm development) and advanced AI frameworks (neural networks, deep learning, Bayesian inference). Students gain hands-on experience through programming assignments, labs, and projects. This minor is intentionally designed to be accessible to students from a variety of fields across the university.

Program Learning Outcomes

Computational & AI Proficiency - Apply modern scientific computing and AI methods to analyze data and build models
Problem Formulation & Algorithmic Design - Formulate real-world problems as computational/AI tasks and design, implement, and evaluate efficient algorithms to solve them
Project-level Software & Independent Learning - Practice reproducible, collaborative software development and independently learn/integrate new tools into projects

Minor Requirements (20 units)

Lower Division (12 units)

Programming Requirement (4 units)

Any one of the following courses

BSDS 100 - Intro to Data SciencE
or
CS 110 - Intro to Computer Science

Physics Core Requirement (4 units)

Any one of the following courses with lab

Math Requirement (4 units)

MATH 109 - Calculus & Analytic Geom I

Upper Division Courses (8 units)

Any two of the following courses