University of North Carolina at Charlotte
MS in Artificial Intelligence
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $9.3K in total tuition, the MS in Artificial Intelligence sits roughly 78% below the $42.4K average for AI master's programs in our database — placing it in the 2nd percentile on cost among the 531 we track at this level.
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 in Python or similar languages. Prerequisites may include courses in linear algebra, statistics, and probability.
About This Program
UNC Charlotte's MS in Artificial Intelligence stands out for its exceptional affordability while delivering a focused AI curriculum covering machine learning, deep learning, and applied methods. It is offered by a growing research university in one of the Southeast's fastest-expanding tech and banking hubs.
Charlotte's strong finance and enterprise sectors give graduates a solid regional market for applied AI roles, making this a high-ROI option.
Why students choose it: Among the most affordable AI master's degrees, in Charlotte's growing finance/tech market.
Career Outcomes
Lead as AI Engineer in Cross-Industry AI with machine learning expertise
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist
- 4. AI Software Developer
What You'll Learn
- Design and implement machine learning models for predictive analytics.
- Build and train neural networks for complex pattern recognition.
- Develop AI systems for natural language understanding and generation.
- Apply reinforcement learning to optimization and decision-making problems.
Curriculum Highlights
The structure includes core mathematics and AI algorithms, with specialized clusters in machine learning operations, computer vision, and natural language processing.
Top Employers
Top employers include Google, Microsoft, Amazon, and IBM.
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 in Python or similar languages. Prerequisites may include courses in linear algebra, statistics, and probability.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional or Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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