Bachelor of Science in Cybernetics
About the Program
The Bachelor of Science in Cybernetics explores the study of complex systems, control mechanisms, and communication in both biological and artificial systems. This program is designed for students interested in the intersection of systems theory, robotics, artificial intelligence, and human-machine interaction.Program Overview
The Bachelor of Science in Cybernetics provides a deep dive into the principles of feedback, control, and adaptation in dynamic systems. The program integrates concepts from computer science, biology, engineering, and cognitive science to examine how information flows and systems adapt to changing environments. Students will learn how to analyze, model, and design self-regulating systems in fields such as robotics, neural networks, computational biology, and intelligent infrastructure. The program emphasizes both theoretical foundations and hands-on experience in areas such as control systems, cyber-physical systems, and adaptive algorithms. Graduates will be equipped to contribute to the fields of AI, robotics, and complex systems engineering.Key Areas of Study
- Systems Theory and Feedback Mechanisms
- Robotics and Cyber-Physical Systems
- Adaptive Algorithms and Machine Learning
- Biological and Cognitive Cybernetics
- Human-Machine Interaction and Intelligent Systems
Core Curriculum & Program Structure
Program Courses: 120 credits
Degree Requirements
Total Credits Required: 120 credits
Core Major Courses: 40 credits
Electives & Research Focus: 30 credits
General Education & Interdisciplinary Studies: 50 credits
Year One – Foundations of Cybernetics
Fall Semester 1
CYB 101 – Introduction to Cybernetics (3 credits)
Overview of cybernetics as a field, covering foundational concepts of control, communication, and self-regulation in biological and artificial systems.
CEN 101 – Introduction to Cognitive Engineering (3 credits)
Introduction to the fundamentals of cognitive engineering and its applications in cybernetics.
BIO 101 – Fundamentals of Systems Biology (3 credits)
Exploration of biological systems as complex adaptive structures, focusing on feedback mechanisms.
General Education Elective (3 credits)
Research & Writing Foundations (3 credits)
Spring Semester 2
CYB 102 – Control Systems and Feedback Loops (3 credits)
Study of control theory, cybernetic feedback, and their applications in robotics and artificial intelligence.
CNS 102 – Neural Circuits and Communication Systems (3 credits)
Examines neural networks and communication patterns in biological and artificial systems.
CEN 204 – Risk and Decision Modeling (3 credits)
Introduction to decision modeling in adaptive systems, including probabilistic reasoning.
General Education Elective (3 credits)
Introduction to Computational Modeling (3 credits)
Year Two – Intermediate Cybernetics
Fall Semester 3
CYB 201 – Adaptive Systems and Self-Regulation (3 credits)
Studies how systems self-regulate and adapt to environmental changes.
CEN 205 – Computational Models of Cognition (3 credits)
Examines cognitive computational models and their relevance to cybernetics.
BIO 203 – Systems Neuroscience and Feedback Mechanisms (3 credits)
Focuses on neural and biological feedback mechanisms in adaptive systems.
Research Elective in Cybernetic Systems (3 credits)
General Education Elective (3 credits)
Spring Semester 4
CYB 202 – Cyber-Physical Systems and Robotics (3 credits)
Explores integration of cybernetic control in robotics and AI-driven physical systems.
CEN 302 – Advanced Topics in Cognitive Science (3 credits)
In-depth study of cognitive processes in intelligent systems.
PSY 301 – Cognitive and Behavioral Systems (3 credits)
Investigates behavioral models in both biological and artificial intelligence frameworks.
Research Elective in Adaptive Algorithms (3 credits)
General Education Elective (3 credits)
Year Three – Advanced Cybernetics
Fall Semester 5
CYB 301 – Complex Systems and Emergent Behavior (3 credits)
Analysis of emergent properties in complex adaptive systems.
CEN 303 – Brain-Computer Interfaces (3 credits)
Exploration of direct communication pathways between the brain and external devices.
CYB 302 – Robotics and Intelligent Machines (3 credits)
Study of machine learning in robotics and AI-driven intelligent systems.
Elective in Systems Theory, Robotics, or AI (3 credits)
General Education Elective (3 credits)
Spring Semester 6
CYB 303 – Human-Machine Interaction (3 credits)
Investigation of how humans interact with cybernetic and AI-driven systems.
CYB 304 – Cybernetics in Biological Systems (3 credits)
Analysis of cybernetic principles in biological organisms and ecosystems.
CYB 305 – Networked Systems and Distributed Control (3 credits)
Study of decentralized control systems, networked intelligence, and distributed AI.
Research Elective in Complex Systems (3 credits)
General Education Elective (3 credits)
Year Four – Capstone Research & Applications
Fall Semester 7
CYB 401 – Independent Research in Cybernetics (3 credits)
Students develop independent research projects in cybernetics and intelligent systems.
CYB 402 – Cybernetics and Intelligent Infrastructure (3 credits)
Exploration of cybernetic principles in infrastructure design, including smart cities and automation.
CYB 403 – Senior Seminar: Cybernetic Systems and Adaptation (3 credits)
Seminar exploring advanced topics in cybernetic adaptability.
Research Elective in Robotics or Adaptive Systems (3 credits)
General Education Elective (3 credits)
Spring Semester 8
CYB 404 – Capstone Project: Cybernetic Systems Design (6 credits)
A final project in which students design and implement a cybernetic system.
CYB 405 – Emerging Technologies in Cybernetics (3 credits)
Examination of emerging trends in cybernetic research and applications.