NC

Master's in AI
On-Campus

University of North Carolina at Charlotte

MS in Artificial Intelligence

  • Charlotte
About This Program

This graduate program provides advanced skills in the planning, implementation, and management of AI infrastructures across various industry domains.

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What You'll Learn

Graduates will learn to design AI-driven solutions, extract meaning from complex data sets, and lead cross-disciplinary teams in applied AI projects.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The structure includes core mathematics and AI algorithms, with specialized clusters in machine learning operations, computer vision, and natural language processing.
Typical Course Topics
1. Machine Learning 2. Deep Learning 3. Natural Language Processing 4. Computer Vision 5. Reinforcement Learning 6. AI Ethics and Applications
Program Specializations:
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 in Python or similar languages. Prerequisites may include courses in linear algebra, statistics, and probability.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional or Not Required
• 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

Lead as AI Engineer in Cross-Industry 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. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. AI Software Developer
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, and IBM.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 9,288
Format
On-Campus
Specializations
Official Resources
Program Website
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