Undergraduate Major Program

Undergraduate Major Program

Cognitive Convergence Science

Program Overview

The Cognitive Convergence Science Program is an interdisciplinary curriculum designed to cultivate next-generation convergence experts. Grounded in a scientific understanding of the human brain, mind, and behavior, the program embraces a multidisciplinary approach that spans the humanities, psychology, engineering, medicine, data science, and artificial intelligence.

Serving as a future-oriented educational paradigm to lead the era of advanced brain engineering and AI, this program is expected to become a cradle for nurturing industry-ready, global convergence professionals who will spearhead various sectors of society, including the medical, healthcare, artificial intelligence, and brain-cognitive industries.Grounded in diverse engineering disciplines—such as biosignals, medical imaging, artificial intelligence, and materials engineering—the program focuses on designing and implementing innovative solutions for disease diagnosis and treatment. Through a curriculum centered on theory, hands-on practice, and design, we provide students with practical experience in developing technologies that can be directly applied to real-world clinical environments.

Educational Objectives

Beyond simple data processing or artificial intelligence utilization, this major aims to cultivate next-generation convergence talents who can precisely define and creatively solve complex problems. This is achieved through a scientific understanding of human intelligence and a convergent design capacity for cutting-edge technologies.

Curriculum

Curriculum Completion Table
Year Semester Course Name Note
2nd 1 An introduction to the Cognitive Science
HUMAN PSYCHOLOGY
Structure and Function of the Brain
Imaging Data Analysis in Cognitive Science
Introduction to Probability and Statistics
CrossDisciplinary Project
(CDP)
Required for primary major. Must be completed at least once during the academic year (1st or 2nd semester). Included in the primary major credit requirement.
2 Theory of Mind and functional Magnetic resonance imaging
Thinking Errors and Cognitive Treatment
The use of artificial intelligence
Neurosicence and Learning Design
CrossDisciplinary Project
(CDP)
Required for primary major. Must be completed at least once during the academic year (1st or 2nd semester). Included in the primary major credit requirement.
3rd 1 Big Data Analysis and Medical Statistics
Computational Cognitive
Sensory Augmentation and Cognitive Science
Deep Learning and Artificial Intelligence
InterDisciplinary Project
(IDP)
Required for primary major. Must be completed at least once during the academic year (1st or 2nd semester). Included in the primary major credit requirement.
2 Groups and Psychotherapy
Applications of the Brain and Sensory Cognition
Cognitive Development and Neuroscience
Cognitive Science and AI Convergence: Cognitive Bias and AI Ethics
Career Development II
(Portfolio and Business model Creation)
Required for primary major, but excluded from the primary major credit requirement.
InterDisciplinary Project
(IDP)
Required for primary major. Must be completed at least once during the academic year (1st or 2nd semester). Included in the primary major credit requirement.
4th 1 AI-Intergrated Cognitive Clinical Science
Mind and Machine: The Future of AI-powered Cognitive Systems
TransDisciplinary Project
(TDP)
Required for primary major (both 1st and 2nd semesters), but excluded from the major credit requirement.
2 HCI & Cognitive Convergence Design
Computational Cognition and Behavior Analyses

A minimum of 6 credits from 400-level courses is required.

Graduation Requirements

Graduation Requirements
Curriculum Primary Major Multiple Major Minor
2024-2027 48 Credits 36 Credits 24 Credits

Program Director

Program Director
Name Department Title email
Lee, Hyun Ju Pediatrics and Adolescent Professor blesslee77@hanyang.ac.kr

Career Paths After Graduation

Multiple Majors / Minors