UT

Master's in AI
On-Campus, Online

Utah Valley University

MS in Applied Artificial Intelligence

  • Orem
About This Program

This program equips professionals to strategically apply AI technologies and craft effective business solutions across various industries.

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What You'll Learn

Students learn AI strategy, data management, and ethical governance to lead AI-driven innovations in their organizations.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
Coursework includes foundations of AI, Python for AI, machine learning, and an applied AI capstone project.
Typical Course Topics
1. Machine Learning Algorithms 2. Deep Learning and Neural Networks 3. AI for Data Analysis 4. Natural Language Processing 5. Computer Vision 6. Applied AI Ethics and Deployment
Program Specializations:
Machine Learning
MLOps/AI Engineering
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Excel as AI Engineer in Business AI with machine learning expertise

Estimated Industry Salary
AI Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Engineer 2. Machine Learning Engineer 3. Data Scientist 4. AI Research Scientist
Top AI Employers (Industry-Wide):
Graduates work at tech companies like Google, Amazon, Microsoft, and NVIDIA, as well as AI startups and research labs.
Explore AI Career Paths
Program Details
Duration
  • 1.67 Year
Tuition
  • 17,760
Format
On-Campus, Online
Specializations
Machine Learning
MLOps/AI Engineering
Official Resources
Program Website
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