University of North Carolina Wilmington

How this program compares

Budget-wise, $22.2K puts this bachelor's program at the 9th percentile on cost — roughly 75% below the $89.8K average across 186 comparable listings. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT or ACT scores optional but recommended for competitive applicants. Strong background in mathematics, physics, and computer science is highly advantageous.

About This Program

This interdisciplinary program merges engineering and computing to focus on the development of smart, networked systems. Coursework concentrates on Machine Learning and Tech. Most students complete it in about 4 years.

Graduates frequently move into roles such as AI Engineer, with reported salaries around $105,000.

Develop AI models for real-world intelligent systems applications.

Estimated total tuition is $22.2K, below the $89.8K average for AI bachelor's programs in our database and in the 9th percentile on cost at this level. 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 68% of the North Carolina programs in our data, where typical tuition runs near $69.0K.

Career Outcomes

The BS in Intelligent Systems Engineering at University of North Carolina Wilmington (Wilmington, North Carolina) is oriented toward AI Engineer hiring, with alumni reporting pay near $105,000. Its focus on Machine Learning and Tech 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 15% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Intelligent Systems Engineer
• 2. Robotics Engineer
• 3. Machine Learning Engineer
• 4. AI Systems Architect

What You'll Learn

• Develop AI models for real-world intelligent systems applications
• Design and implement machine learning pipelines for data-driven decision-making
• Engineer robotic systems with perception and autonomy capabilities
• Integrate sensors, algorithms, and hardware for intelligent automation
• Analyze and optimize intelligent systems for reliability and efficiency

Curriculum Highlights

The curriculum includes engineering core courses, math foundations, and specialized concentrations in artificial intelligence or cybersecurity.

Top Employers

Top employers include tech firms like Google, Amazon, and NVIDIA, as well as robotics companies, defense contractors, and manufacturing innovators.

Admissions

Admission to University of North Carolina Wilmington's BS in Intelligent Systems Engineering generally expects a high school diploma. 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: Required
• Letters of Recommendation: 2–3
• Resume: Optional
• Transcripts: Official transcripts required

Frequently Asked Questions