Master of Science in Cybernetics

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Master of Science in Cybernetics

The Master of Science in Cybernetics is an advanced exploration of complex systems, feedback mechanisms, and adaptive control in biological, technological, and social systems. This interdisciplinary program bridges systems theory, robotics, cognitive science, and artificial intelligence to provide a comprehensive understanding of how systems communicate, self-regulate, and evolve. Students will engage with theoretical frameworks and practical applications in robotics, neural networks, cyber-physical systems, and human-machine interfaces. This program prepares graduates for advanced roles in research, system design, and emerging fields such as bio-cybernetics, adaptive AI, and intelligent systems.

About the Program

The Master of Science in Cybernetics offers a deep dive into the principles of systems theory, control, and adaptation across natural and artificial systems. Students will learn how to model, analyze, and design self-regulating systems in areas such as robotics, neural networks, computational biology, and cognitive cybernetics. The program integrates computational modeling, feedback theory, and applied control systems to prepare students for solving real-world challenges in adaptive technology and intelligent infrastructure. Emphasis is placed on cyber-physical systems, human-machine interaction, and bio-inspired robotics. Through hands-on research and applied learning, students will develop expertise in designing and managing intelligent systems that adapt and respond to dynamic environments. The capstone project allows students to apply their knowledge to practical or theoretical problems, creating innovative solutions in the field of cybernetics.

Key Areas of Study

  • Systems Theory and Feedback Control
  • Robotics and Cyber-Physical Systems
  • Cognitive Cybernetics and Adaptive Algorithms
  • Bio-Inspired and Neural-Based Systems
  • Human-Machine Interfaces and Intelligent Infrastructure

Who Should Enroll?

This program is ideal for professionals, researchers, and technologists interested in adaptive systems, robotics, and the foundational principles of cybernetic control. Whether pursuing careers in robotics, AI, or complex system design, this program provides the expertise needed to lead innovation in cybernetics and intelligent systems.

Core Curriculum & Program Structure

Program Courses: 42 credits

Degree Requirements

Total Credits Required: 42 credits

Core Major Courses: 33 credits

Research & Thesis: 9 credits

Fall Semester 1

CYB 501 – Introduction to Cybernetics and Systems Theory (3 credits)

Exploration of core principles in cybernetics, including feedback control, communication, and adaptation in natural and artificial systems.

CYB 502 – Robotics and Cyber-Physical Systems (3 credits)

Study of robotic systems and cyber-physical integration, with an emphasis on adaptive behavior and sensor-actuator feedback.

CYB 503 – Adaptive Algorithms and Control Mechanisms (3 credits)

Focus on adaptive control strategies, self-regulating systems, and machine learning algorithms for dynamic environments.

Spring Semester 2

CYB 504 – Cognitive Cybernetics and Neural Networks (3 credits)

Examination of neural-based models and cognitive processes within the framework of adaptive cybernetic systems.

CYB 505 – Bio-Inspired Robotics and Intelligent Systems (3 credits)

Application of bio-inspired design principles in robotics, focusing on locomotion, autonomy, and swarm intelligence.

CYB 506 – Research Methods in Cybernetic Systems (3 credits)

Training in advanced research methodologies for studying and modeling adaptive systems and cybernetic processes.

Fall Semester 3

CYB 601 – Advanced Topics in Human-Machine Interaction (3 credits)

Exploration of cognitive and sensory interfaces in human-machine interaction, focusing on usability and adaptive feedback.

CYB 602 – Networked Systems and Distributed Control (3 credits)

Study of networked cybernetic systems, distributed control protocols, and real-time data exchange in multi-agent systems.

CYB 603 – Independent Research in Cybernetics (3 credits)

Guided research on a specialized topic in cybernetics, leading to a research paper or project proposal.

Spring Semester 4

CYB 699 – Capstone Thesis in Cybernetics (6 credits)

A comprehensive research project applying cybernetic principles to a practical or theoretical problem. The capstone involves developing, modeling, and presenting an original thesis.