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  • Brain Science and Engineering
  • Introduction

Brain Science and Engineering

 

As societies worldwide face challenges such as population aging, mental-health burdens, and the rapid integration of artificial intelligence into daily life, understanding the human brain—and translating that knowledge into brain-inspired technologies—has never been more urgent. Brain science and engineering stand at the forefront of this endeavor, providing the scientific foundations and technological pathways that will shape the future of healthcare, human–AI interaction, and intelligent systems.

 

The Department of Brain Science and Engineering at Sungkyunkwan University advances this mission through three mutually reinforcing pillars: Cognitive Computational Neuroscience, which elucidates the computational principles of perception, attention, memory, and decision-making by integrating behavioral and neural data with Bayesian, reinforcement-learning, and deep-learning models; System Neuroscience, which investigates circuit- and network-level mechanisms across cortical and subcortical systems using approaches such as high-resolution/laminar fMRI, electrophysiology, ECoG, and connectivity/causal modeling; and finally Neural Engineering, which designs and implements practical neurotechnologies—including brain–computer interfaces (BCI/BMI), neural stimulation (DBS/TMS/tDCS), signal processing, embedded systems, robotics, and neuromorphic hardware as well as direct neural signal sensors—for clinical and industrial impact.

 

Our curriculum builds a common foundation in neuroscience, biomedical engineering, artificial intelligence, and cognitive science, then deepens along the three tracks introduced above. Students receive hands-on training in experimental and computational methods, engage in convergence projects that bridge medicine, engineering, and AI, and work with tools ranging from neuroimaging and electrophysiology to computational modeling and full-stack BCI systems.

 

Graduates will be prepared for careers in academic and clinical research, the medical and pharmaceutical industries, AI-driven neurotechnology companies, and innovation-focused startups and global technology firms. By aligning scientific excellence with societal needs—from healthy aging and mental health to trustworthy human–AI interaction—the department aims to create both scholarly impact and tangible public value.

 

Guided by a clear philosophy—to understand the brain (Cognitive Computational Neuroscience), explain brain systems (System Neuroscience), and build brain-inspired technologies (Neural Engineering)—the Department of Brain Science and Engineering at Sungkyunkwan University strives to serve as a hub for innovation and convergence, cultivating globally competitive professionals who will advance brain research and deliver transformative solutions for society.

 

 

Department in Detail

the SKKU department of Brain Science and Engineering aims to:
  •  Cultivate innovative and professional leaders capable of driving future advancements in neuroscience, neuroengineering, and brain-inspired technologies.
  • Developing specialized researchers with a deep understanding of brain function, biomedical engineering, and artificial intelligence to create transformative applications and high-value industries.
  • Train the experts who combine a strong foundation in fundamental neuroscience with hands-on technical skills in neuroimaging, brain–machine interfaces, and computational modeling
  • Fostering global talents equipped with comprehensive and rational thinking abilities, grounded in Sungkyunkwan University’s core values of benevolence, righteousness, propriety, and wisdom.

 

 

Why choose us?

  • Offering a comprehensive curriculum that integrates neuroscience, biomedical engineering, artificial intelligence, and cognitive science to cultivate highly skilled professionals equipped with advanced knowledge and creative problem-solving abilities in brain science and engineering.
  • Structuring the curriculum into stages—common core courses, interdisciplinary electives, specialized core courses, and laboratory/practical training—establishing a sequential and systematic educational framework for developing expertise across the spectrum of brain science and engineering.
  • Guiding students to acquire comprehensive expertise across key domains—including neuroimaging, brain–machine interfaces (BMI), computational neuroscience, and brain-inspired AI—through tailored education and training.
  • Conducting experiments and practical training with top-tier faculty, while fostering critical thinking, problem-solving skills, and on-site competencies through project-based, participatory courses.
  • Offering recruitment-linked programs with partner institutions and companies in the fields of neurotechnology, biomedical engineering, AI, and healthcare, giving students opportunities to gain practical skills and grow into professional experts.
  • Providing all students with overseas training opportunities to participate in international conferences, symposia, and workshops, enabling firsthand exposure to the latest trends in global neuroscience and neuroengineering.
  • Offering recruitment-linked programs with partner institutions and companies in the fields of neurotechnology, biomedical engineering, AI, and healthcare, giving students opportunities to gain practical skills and grow into professional experts.