North Carolina A&T State University

How this program compares

North Carolina A&T State University's BS in Artificial Intelligence – Engineering and Computing Track lists about $17.7K total tuition — roughly 80% below the $89.8K AI bachelor's average (4th percentile in our data). It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: High school diploma or equivalent with strong performance in mathematics and science is required. Competitive programs typically expect a GPA of 3.0 or higher, and standardized test scores (SAT/ACT) may be required or recommended depending on institutional policies.

About This Program

This track emphasizes the engineering aspects of AI, combining computer science and cognitive science principles for system innovation. Coursework concentrates on Generative AI and LLMs and Machine Learning. Most students complete it in about 4 years.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Design and implement machine learning algorithms for real-world engineering problems.

At roughly $17.7K total, North Carolina A&T State University's BS in Artificial Intelligence – Engineering and Computing Track sits below the $89.8K average among AI bachelor's programs we track — the 4th 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 84% of the North Carolina programs in our data, where typical tuition runs near $69.0K.

Career Outcomes

North Carolina A&T State University positions this bachelor track for Machine Learning Engineer careers — typical offers cluster around $120,000. Its focus on Generative AI and LLMs and Machine Learning maps directly to how employers in engineering ai 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 Systems Engineer
• 3. Robotics Engineer
• 4. Data Scientist

What You'll Learn

• Design and implement machine learning algorithms for real-world engineering problems
• Develop autonomous systems and robotics applications using AI techniques
• Apply computational methods to optimize complex engineering processes
• Evaluate AI model performance and implement ethical AI practices in engineering contexts

Curriculum Highlights

The structure covers core computing, deep learning, agentic AI, robotics, and decision-making frameworks.

Top Employers

Top employers in this field include Google, Microsoft, Tesla, Amazon, IBM, Boeing, and defense contractors such as Lockheed Martin and Raytheon.

Admissions

Admission to North Carolina A&T State University's BS in Artificial Intelligence – Engineering and Computing Track generally expects a 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
• Letters of Recommendation: 1–2
• Resume: Optional
• Transcripts: Official transcripts required

Frequently Asked Questions