Applied Artificial Intelligence, M.S.

Visit the Technology Management and Mechatronics Department page for more information on the program and access to advising.

Program Description

The Master of Science in Applied Artificial Intelligence (MSAAI) program equips professionals from diverse backgrounds with the expertise to strategically apply AI technologies, enabling them to craft effective business solutions. Focused on the practical integration and governance of AI, this program guides learners in leveraging AI across various industries. The curriculum encompasses foundational and advanced courses, covering topics such as: AI strategy and implementation, data management, ethical implications, and more. Through an Applied AI Capstone Project, students showcase their aptitude in deploying impactful real-world AI applications. Designed for full-time working professionals, the program provides flexible online and in-person learning options within a 30-credit hour structure. Individuals who aspire to lead AI-driven innovations and promote ethical AI practices in their organizations will be well-prepared upon completion.

Matriculation Requirements

Application for admission to graduate program with application fee by the established deadline.

The university uses a selective admission process for admitting students to graduate programs.  Meeting minimum admissions criteria does not guarantee admission to the graduate program or to the University as a graduate student.

A bachelor’s degree from a regionally accredited college/university, a nationally accredited program, or an international college or university recognized by a Ministry of Education

Overall undergraduate GPA of 3.0 or higher on a 4.0 scale from an accredited institution, or GPA of 3.0 or higher on a 4.0 scale from an accredited institution in last 60 semester hours (90 quarter hours) of undergraduate coursework

Three professional letters of recommendation

Official transcripts from all attended institutions of higher education

A personal statement

Program Requirements

Graduation Requirements

Complete all courses with an overall GPA of 3.0 or higher

A grade of "C" or higher required for all courses used to satisfy graduation requirement

Courses must be finished within a five-year period. No courses will apply toward graduation that are older than five years

Graduates may not transfer more than ten semester credit hours into this master's program. Only transfer courses approved by the graduate program faculty shall be counted as approved credit for the degree

A minimum of 30 credits is required 

Graduate credits accepted from another regionally accredited institution or equivalent shall have been completed within four years of the graduate student's matriculation into the graduate program and cannot be older than six years at the time of graduation with a master's degree from the University.

The MS-ETM and MS-AAI requires 20 hours to be completed at Utah Valley University.  Graduates may not transfer more than ten semester credit hours into this master's program. Only transfer courses approved by the graduate program faculty shall be counted as approved credit for the degree.

Acceptance into a graduate program, or approval of the graduate program director is a pre-requisite to all MS-ETM or MS-AAI coursework. 

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
TECH 6100	Foundations of Applied Artificial Intelligence	3
TECH 6200	Artificial Intelligence in Business	3
	Credit Hours	6
Semester 2
INFO 6200	Python for Applied Artificial Intelligence	3
TECH 6250	Ethical Legal and Social Implications of Artificial Intelligence	3
	Credit Hours	6
Semester 3
TECH 6700	Data Driven Decision Making	3
TECH 6730	Data Strategy and Management for Artificial Intelligence	3
	Credit Hours	6
Second Year
Semester 4
TECH 6750	Strategic Implementation of AI Systems	3
CS 6470	Machine Learning	3
	Credit Hours	6
Semester 5
TECH 6910	Applied AI Capstone Project	3
Elective		3
	Credit Hours	6
	Total Credit Hours	30

An online graduation plan offers students a flexible yet structured approach to their academic journey. While this sample serves as a general guideline, individual plans may differ based on Math and English placement scores. Meeting with an academic advisor is strongly recommended to customize plans and ensure all graduation requirements are met.

Courses marked with an asterisk (*) are Certified Online Courses, meeting UVU’s high standards for quality and accessibility.

Plan of Study Grid

First Year
Semester 1		Credit Hours
TECH 6100	Foundations of Applied Artificial Intelligence	3
TECH 6200	Artificial Intelligence in Business	3
	Credit Hours	6
Semester 2
INFO 6200	Python for Applied Artificial Intelligence	3
TECH 6250	Ethical Legal and Social Implications of Artificial Intelligence	3
	Credit Hours	6
Semester 3
TECH 6700	Data Driven Decision Making *	3
TECH 6730	Data Strategy and Management for Artificial Intelligence	3
	Credit Hours	6
Second Year
Semester 4
TECH 6750	Strategic Implementation of AI Systems	3
CS 6470	Machine Learning	3
	Credit Hours	6
Semester 5
TECH 6910	Applied AI Capstone Project	3
Elective		3
	Credit Hours	6
	Total Credit Hours	30

Program Learning Outcomes

1. Assess business opportunities and challenges to strategically implement AI solutions.
2. Lead cross-functional teams to ethically build, deploy, and continuously improve AI products and services.
3. Interpret machine learning models and results to drive data-based decision making.
4. Develop data management strategies and governance models that enable scalable and sustainable AI systems.
5. Appraise regulatory and economic implications of AI solutions across global markets.
6. Implement inclusive design, testing, and monitoring practices that address bias and fairness.