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2025-2026 Undergraduate Catalogue
Intelligent Systems Engineering, B.S.
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 Return to: Undergraduate Programs A-Z
Dr. Clayton Ferner
The program in Intelligent System Engineering is a 4-year interdisciplinary program involving both the engineering and the computing domain. In addition to the successful completion of university studies requirements for UNCW, the B.S. curriculum requires math and science foundations, engineering core courses and an area of concentration. The concentration areas include: 1. Machine Learning and Artificial Intelligence, 2. Cybersecurity, and 3. Cyber-physical Systems (smart networked systems with embedded sensors and actuators that are designed to interact with the real-world and support real-time, guaranteed performance in safety-critical applications).
The program is supported by computer science and engineering faculty with strengths in machine learning, artificial intelligence, data science, cybersecurity, and cyber-physical systems, robotics, and Internet of Things.
Program Coordinator: Clayton Ferner
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Requirements for the B.S. in Intelligent Systems Engineering
In addition to completing the Core Requirements for the BS in Intelligent Systems Engineering, students must complete the requirements for one of the concentrations. While all concentrations involve intelligent systems, the Artificial Intelligence (AI) concentration focuses on decision-making and adaptability, the Cybersecurity concentration addresses protection and threat mitigation, and the Cyber-Physical Systems (CPS) concentration integrates computation with physical processes for real-world applications. Oral Communication Requirement
To satisfy the oral communication requirement for the B.S. degree in Intelligent Systems Engineering, a student must successfully complete the following: Core Requirements: (71 Hours):
Required courses: Artificial Intelligence Concentration (12 hours):
The AI concentration focuses on equipping students with the skills needed to design intelligent systems that enhance decision-making, automation, and user experiences across various domains. Students will gain expertise in core AI fields, including machine learning (ML), generative AI, deep learning, agent-based learning, reinforcement learning, natural language processing, and computer vision.
Required courses: Electives (6 hours):
Choose 6 hours of electives from the following courses: Cybersecurity Concentration (12 hours):
The Cybersecurity concentration emphasizes securing digital systems, networks, and data against evolving threats. This concentration focuses on cryptography, network security, malware analysis, and the use of AI as a tool to predict and prevent vulnerabilities, preparing students to safeguard critical infrastructure and manage cybersecurity risks.
Required courses: Electives (6 hours):
Choose 6 hours of electives from the following courses: Cyber-Physical Systems Concentration (12 hours):
The Cyber-Physical Systems (CPS) concentration bridges computing and the physical world by focusing on embedded systems, IoT devices, real-time computing, and hardware-software co-design. It prepares students to design secure, intelligent systems that interact with physical environments, with applications in smart infrastructure, autonomous systems, and industrial automation.
Required courses: Electives (6 hours):
Choose 6 hours of electives from the following courses: |
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