University of North Carolina at Charlotte

How this program compares

University of North Carolina at Charlotte's BS in Artificial Intelligence lists about $19.1K total tuition — roughly 79% below the $89.8K AI bachelor's average (6th percentile in our data). It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: High school diploma or equivalent with a competitive GPA (typically 3.0+) is required. SAT/ACT scores may be required or recommended depending on institutional policy; prospective students should verify current admission standards with UNC Charlotte's admissions office.

About This Program

This undergraduate degree offers comprehensive training in AI algorithms and the software lifecycle to prepare students for high-demand tech careers. Coursework concentrates on Deep Learning and AI Engineering / Applied AI. Most students complete it in about 4 years.

At roughly $19.1K total, University of North Carolina at Charlotte's BS in Artificial Intelligence sits below the $89.8K average among AI bachelor's programs we track — the 6th percentile on price. That makes it one of the more affordable options for students weighing return on investment.

It is one of 31 AI-related programs we track in North Carolina, of which about 45% offer an online option. On price, it comes in cheaper than about 74% of the North Carolina programs in our data, where typical tuition runs near $69.0K.

Graduates frequently move into roles such as AI Engineer, with reported salaries around $118,000.

Design and implement machine learning algorithms and neural network architectures for real-world applications.

Career Outcomes

University of North Carolina at Charlotte positions this bachelor track for AI Engineer careers — typical offers cluster around $118,000. Its focus on Deep Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. AI Systems Architect

What You'll Learn

• Design and implement machine learning algorithms and neural network architectures for real-world applications
• Apply deep learning techniques to solve problems in computer vision, natural language processing, and pattern recognition
• Evaluate experimental designs and implement appropriate analytical methods for AI systems
• Integrate theoretical AI concepts with hands-on projects and industry case studies across healthcare, business, and technology sectors

Curriculum Highlights

The curriculum features a computing core, AI required courses in ethics and databases, and clusters in robotics, human-AI interaction, and security.

Top Employers

Top employers in AI include Google, Microsoft, Amazon, IBM, and major technology and research institutions.

Admissions

Admission to University of North Carolina at Charlotte's BS in Artificial Intelligence generally expects a bs (bachelor of science). The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Optional for some institutions
• Letters of Recommendation: Optional for undergraduate admission
• Resume: Optional
• Transcripts: Official high school transcripts required

Frequently Asked Questions