Master of Science in Sentient Technology
The Master of Science in Sentient Technology is an advanced interdisciplinary program that focuses on the development, design, and ethical integration of sentient-like systems. This program explores self-aware artificial intelligence, human-sentient interfaces, adaptive learning, and the emergence of cognitive empathy in autonomous systems.
Students will engage with theories of consciousness simulation, collective intelligence, and affective computing, gaining the skills to design and implement sentient systems. The program bridges cognitive science, AI development, and interactive system design, preparing students to contribute to cutting-edge research and innovation in sentient technology.
About the Program
The Master of Science in Sentient Technology offers a comprehensive foundation in cognitive architectures, networked sentient systems, and the ethical implications of autonomous, self-aware systems. Students will explore how sentient systems simulate aspects of human cognition, emotion, and decision-making, developing practical skills for building interactive AI with adaptive responses.
The program emphasizes experiential learning and applied research in areas such as emotional synthesis, collective intelligence, and human-sentient interfaces. Through hands-on projects, students will learn to design and evaluate sentient systems while addressing complex questions about autonomy, rights of sentient beings, and human-technology coexistence.
The capstone research project provides an opportunity for students to create and evaluate a sentient system, either through a functional prototype or a comprehensive theoretical model.
Key Areas of Study
Cognitive Architectures and Adaptive Learning Systems
Human-Sentient Interfaces and Usability Design
Consciousness Simulation and Affective Computing
Collective Intelligence and Networked Sentient Systems
Ethical Implications of Sentient Technology
Who Should Enroll?
This program is ideal for AI developers, robotics engineers, cognitive scientists, and philosophers interested in designing and understanding sentient-like systems. Whether pursuing research or applied roles in AI-driven cognition, human-computer interaction, or ethical AI development, this program equips graduates with the expertise to lead innovation in sentient technology.
Core Curriculum & Program Structure
Program Courses: 48 credits
Degree Requirements
Total Credits Required: 48 credits
Core Major Courses: 24 credits
Research & Thesis: 15 credits
Electives: 9 credits
Year One – Foundations of Sentient Technology
Fall Semester 1
ST 501 – Foundations of Sentient Systems (3 credits)
Introduction to cognitive architectures, self-regulation, and adaptive learning principles in sentient technology.
ST 502 – Human-Sentient Interface Design (3 credits)
Study of human-sentient interfaces, focusing on communication protocols, adaptability, and user interaction in sentient systems.
ST 503 – Cognitive Neural Networks and Adaptive Systems (3 credits)
Exploration of neural-based models and cognitive processing in autonomous adaptive systems.
General Education Elective (3 credits)
Introduction to Behavioral Research (3 credits)
Spring Semester 2
ST 504 – Sentient Systems and Collective Intelligence (3 credits)
Analysis of networked sentient systems, distributed cognition, and collective intelligence in multi-agent environments.
ST 505 – Emotional Synthesis and Cognitive Empathy (3 credits)
Study of emotional modeling and cognitive empathy in sentient systems. Topics include affective computing and emotional synthesis in AI.
ST 506 – Ethical and Societal Implications of Sentient Technology (3 credits)
Examination of ethical and societal challenges in sentient technology, with a focus on autonomy, human coexistence, and moral frameworks for sentient systems.
Research Methods in Sentient Systems (3 credits)
Independent Research Project in Cognitive AI (3 credits)
Year Two – Advanced Research & Capstone
Fall Semester 3
ST 601 – Advanced Topics in Adaptive Sentient Systems (3 credits)
Exploration of advanced topics in adaptive AI, focusing on real-world applications in robotics, machine learning, and interactive systems.
ST 602 – Human-Machine Symbiosis (3 credits)
Study of human-computer symbiosis and brain-computer interface technologies for enhancing human capabilities.
ST 603 – Independent Research in Sentient Technology (3 credits)
Guided research on a specialized topic in sentient systems, leading to a research paper or prototype development.
Spring Semester 4
ST 699 – Capstone Thesis in Sentient Technology (6 credits)
A comprehensive research project where students develop and evaluate a sentient system, either through a functional prototype or an original theoretical model.
Research Elective in Advanced AI Systems (3 credits)