BachelorOn-CampusFull-Time

University of North Carolina Wilmington

BS in Intelligent Systems Engineering

Wilmington, North Carolina4 years$22K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $22.2K in total tuition, the BS in Intelligent Systems Engineering sits roughly 74% below the $86.6K average for AI bachelor's programs in our database β€” placing it in the 7th percentile on cost among the 232 we track at this level.

Est. Salary$105,000
Job Growth+15%
Top RoleAI Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
High School Diploma
Duration
4 years
Est. Tuition
$22K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Not Required
Concentrations
Machine Learning, Tech

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.

Estimated total tuition is $22.2K, below the $86.6K average for AI bachelor's programs in our database and in the 7th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

Begin AI Engineer career in Engineering AI with machine learning focus Graduates frequently move into roles such as AI Engineer, with reported salaries around $105,000.

Career Outcomes

Begin AI Engineer career in Engineering AI with machine learning focus

  • 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

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.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 2–3
  • Resume: Optional
  • Transcripts: Official transcripts required

Academic Requirements

  • Degree Required: High School Diploma
  • GRE/GMAT: Not Required
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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