Information Science, Technology & Arts Undergraduate Minor

Student on computer

This AI-generated image highlights innovative possibilities. At the College of Information Science, where we focus on the intersection of people, information and technology, you'll learn how to harness AI ethically and responsibly while ensuring human creativity and insight remain at the forefront.

In the Information Science, Technology and Arts undergraduate minor students learn about all facets of information: deriving it, managing it and extracting meaning from it.

The minor draws from core College of Information Science courses in our Bachelor of Arts and Bachelor of Science in Information Science degrees and is a great complement to almost any U of A major.

This 18-unit minor is available on main campus and online.


Declaration Process

Current University of Arizona students, please declare your College of Information Science minor here:

Declare My Minor


Requirements

  • Students are required to maintain at least a 2.0 average in minor coursework to complete the minor.
  • Students must complete at least 12 units (4 courses) which are upper-division (300-level or above).
  • Students are allowed to use up to 2 courses (typically, 6 units) between a major and minor program with departmental approval.

Learn more about University of Arizona undergraduate minor requirements.



Courses

View or download the fillable minor checklist (PDF)

18 units are required for the minor. Some courses below have prerequisites; view the minor checklist linked above for individual course prerequisites.

ISTA 100, 116 and 161 may be taken in any order and are not required to enroll in upper-division courses as long as students meet the prerequisites.

Core Courses

Information Science, Technology and Arts minor students must take the following four courses (12 units):


Elective Courses

Complete two courses (6 units) of upper-division courses from any of the following course categories:

Computational Arts

Human-Computer Interactions

Applied Data Science

Programming Foundations

Probability & Inference; Machine Learning; Natural Language Processing

Virtual Reality & Game Development

Special Topics