Master of Science in Quantum Cognition

The Master of Science in Quantum Cognition is an advanced study dedicated to exploring how quantum principles can influence human cognition, decision-making, and neural processing. This program is designed for students and professionals who want to fuse quantum probability models, psychodynamic wave functions, non-classical decision theories, and neural quantum computing to probe the deep intersection between quantum mechanics and cognitive science.

About the Program

The Master of Science in Quantum Cognition offers a unique interdisciplinary approach that blends the fields of quantum physics and cognitive science. Students will explore quantum theory’s applicability to understanding cognitive processes, focusing on how non-classical logic can influence human thought and decision-making. The program covers a wide range of topics, from quantum probability models that challenge traditional notions of uncertainty in cognition to the use of quantum computing techniques to simulate complex neural processes.

Through rigorous coursework, hands-on research, and collaborative projects, students will gain a deep understanding of how quantum theoretical frameworks can be applied to enhance models of cognition and decision-making. This knowledge is crucial for developing innovative approaches to AI-driven cognitive modeling and psychometric analysis.

Key Areas of Study

**Quantum Probability and Its Implications for Cognitive Science

**Psychodynamic Wave Functions in Cognitive Modeling

**Non-Classical Decision Theories

**Neural Quantum Computing and Its Applications in Cognitive Processes

Who Should Enroll?

This program is ideally suited for individuals pursuing careers in quantum cognition research, AI-driven cognitive modeling, psychometric analysis, and quantum-inspired decision sciences. It will benefit researchers, data scientists, and cognitive modelers who are eager to apply quantum principles to enhance understanding and technology in cognitive domains.


Core Curriculum & Program Structure

Program Courses: 57 credits

Degree Requirements

Total Credits Required: 57 credits

Core Major Courses: 33 credits

Research & Thesis: 18 credits

Electives: 6 credits

Falll Semester 1

QCO 601 – Foundations of Quantum Cognition & Decision Theory (3 credits)

QCO 602 – Quantum Probability & Non-Classical Decision-Making (3 credits)

QCO 603 – Psychodynamic Wave Functions & Thought Interference (3 credits)

QCO 604 – Quantum Bayesian Inference & Cognitive Superposition (3 credits)

Research Methods in Quantum Cognitive Science (3 credits)

Spring Semester 2

QCO 605 – Quantum Neural Networks & Cognitive Processing (3 credits)

QCO 606 – Non-Local Cognition & Temporality in Decision-Making (3 credits)

QCO 607 – Cognitive Measurement & Psychodynamic Collapse (3 credits)

QCO 608 – AI & Quantum Cognition: Machine Learning Applications (3 credits)

Research Project in Quantum Cognitive Science (3 credits)


Falll Semester 3

QCO 701 – Psychometric Research & Quantum Behavioral Models (3 credits)

QCO 702 – The Role of Quantum Entanglement in Cognition (3 credits)

QCO 703 – Computational Quantum Cognition & Neural Architectures (3 credits)

Elective in Quantum Neuroscience or AI Cognition (3 credits)

Independent Research in Quantum Decision Sciences (3 credits)

Spring Semester 4

QCO 704 – Capstone Thesis in Quantum Cognition & AI (6 credits)

QCO 705 – Experimental Quantum Cognition & AI Simulations (3 credits)

Final Research Elective or Internship in Quantum Cognitive Systems (3 credits)