Utah Valley University
MS in Applied Artificial Intelligence
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $17.8K in total tuition, the MS in Applied Artificial Intelligence sits roughly 58% below the $42.4K average for AI master's programs in our database β placing it in the 17th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework. GRE scores are often optional, with preference for applicants demonstrating AI-related projects or internships.
About This Program
This program equips professionals to strategically apply AI technologies and craft effective business solutions across various industries. Coursework concentrates on Machine Learning and MLOps/AI Engineering. Most students complete it in about 1.67 years.
Estimated total tuition is $17.8K, below the $42.4K average for AI master's programs in our database and in the 17th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.
Excel as AI Engineer in Business AI with machine learning expertise Graduates frequently move into roles such as AI Engineer, with reported salaries around $120,000.
Career Outcomes
Excel as AI Engineer in Business AI with machine learning expertise
- 1. AI Engineer
- 2. Machine Learning Engineer
- 3. Data Scientist
- 4. AI Research Scientist
What You'll Learn
- Design and implement machine learning models for real-world applications
- Apply deep learning techniques to process and analyze complex datasets
- Develop AI systems for tasks like natural language processing and computer vision
- Evaluate AI model performance, ethics, and deployment in production environments
Curriculum Highlights
Coursework includes foundations of AI, Python for AI, machine learning, and an applied AI capstone project.
Top Employers
Graduates work at tech companies like Google, Amazon, Microsoft, and NVIDIA, as well as AI startups and research labs.
Admissions
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework. GRE scores are often optional, with preference for applicants demonstrating AI-related projects or internships.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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