Applied Artificial Intelligence, Undergraduate Certificate

Visit the Information Systems and Technology Department page for more information on the program and access to advising.

Program Description

The Applied Artificial Intelligence, Undergraduate Certificate affords students the opportunity to learn approaches for AI design, identify AI technologies and techniques that can be used to address specific needs, and develop and deploy AI solutions to meet those needs. Topics covered include fundamentals in programming, data management, numerical analysis, hardware integration, generative AI, machine learning techniques, and ethical considerations. Students who complete this certificate will be equipped to evaluate and apply AI solutions within organizations.

Program Requirements

Course List

Code	Title	Credit Hours
Total Credit Hours		18
Discipline Core Requirements		15 Credits
Complete the following:
INFO 1200	Computer Programming I for IS IT	3
INFO 2410	Database Fundamentals	3
STAT 1040	Introduction to Statistics	3
or MGMT 2340	Business Statistics I
Complete one of the following:		3
MATH 2000	Algebraic Reasoning with Modeling (3)
MATH 1050	College Algebra (4)
MATH 1055	College Algebra with Preliminaries (5)
MATH 1090	College Algebra for Business (3)
INFO 2500	Applied Artificial Intelligence Concepts in Organizations	3
Elective Requirements		3 Credits
Choose 3 credits from the following courses:		3
INFO 1120	Information Systems and Technology Fundamentals (3)
INFO 2200	Computer Programming II for IS IT (3)
IT 1600	Computer Architecture and Systems Software (3)

Graduation Requirements

1. Completion of a minimum of 18 semester credits.
2. Minimum grade of C- required in all courses.
3. Overall grade point average of 2.0 (C) or above.
4. Residency hours: minimum of 5 credit hours through course attendance at UVU.

Graduation Plan

This graduation plan is a sample plan and is intended to be a guide. Your specific plan may differ based on your Math and English placement and/or transfer credits applied. You are encouraged to meet with an advisor and set up an individualized graduation plan in Wolverine Track.

Plan of Study Grid

First Year
Semester 1		Credit Hours
INFO 1200	Computer Programming I for IS IT	3
STAT 1040	Introduction to Statistics	3
	Credit Hours	6
Semester 2
INFO 2410	Database Fundamentals	3
MATH 2000	Algebraic Reasoning with Modeling	3
	Credit Hours	6
Second Year
Semester 3
INFO 2500	Applied Artificial Intelligence Concepts in Organizations	3
Elective		3
	Credit Hours	6
	Total Credit Hours	18

Program Learning Outcomes

1. Analyze data sets employing supervised and unsupervised learning methods.
2. Implement artificial intelligence systems that address organizational needs.
3. Integrate artificial intelligence solutions with business systems and processes.
4. Align artificial intelligence solutions with business priorities and projects.