Mandatory general: 3 credits

• Choose one of the following CC courses (3 credits): CC500, CC510, CC511, CC512, CC513, CC522, CC530, CC531, CC532, CC533
• CC010 Special Lecture on Leadership: Non-credit, excludes general scholarship students and international students
• CC020 Ethics and Safety

Mandatory major: None

Electives: At least 24 credits

Students must complete at least 12 credits of GGS courses (including 6 credits under Designated Electives I and 3 credits under Designated Electives II) and at least 6 credits of courses from participating departments

Courses offered by GGGS

Courses offered by participating departments

• Basic
  AI501

  Machine Learning for AI

  Kim Jaechul Graduate School of Artificial Intelligence

  DS501

  Statistical Inference for Data Science

  KAIST ISysE

  CC512

  Introduction to Materials Science and Engineering

  KAIST DMSE

  STP601

  Survey in Science, Technology, and Public Policy

  KAIST Graduate School of Science and Technology Policy

  BTM530

  Accounting Principles

  BTM KAIST

  EE469

  Brains, Machines, and Socities

  KAIST Electrical Engineering

  CD401/402

  Multidisciplinary Capstone Design I / II

  K-School

  CoE491

  Special Topics in Smart Convergence

  KAIST College of Engineering

• Project for Green Energy Systems
  ME554

  Future energy-utilization engineering

  KAIST Mechanical Engineering

  CBE571

  Energy Engineering

  DEPARTMENT OF CHEMICAL & BIOMOLECULAR ENGINEERING

  MS626

  Physical Properties of Energy Materials

  KAIST DMSE

  EE464

  Electrical Engineering for Green Energy

  KAIST Electrical Engineering

  EE567

  Photovoltaic Power Generation

  KAIST Electrical Engineering

  M0501

  Modeling and Control of Electric Propulsion Systems

  Cho Chun Shik Graduate School of Mobility

  M0520

  Electric Powertrain Engineering

  Cho Chun Shik Graduate School of Mobility

  M0531

  Battery System Modeling and Control

  Cho Chun Shik Graduate School of Mobility

• Project for Carbon Neutrality Assessments
  STP501

  Science, Technology, and Global Development

  KAIST Graduate School of Science and Technology Policy

  MSB535

  Technology Management and Corporate Finance

  BTM KAIST

  MSB635

  Investments Theor

  BTM KAIST

  IE432

  Decision Analysis and Risk Management

  KAIST ISysE

  IE471

  Artificial Intelligence for Finance

  KAIST ISysE

  IE532

  Simulation and Modeling

  KAIST ISysE

• Project for Carbon Neutrality Technology Systems
  CBE771

  Advanced Electrochemical Engineering

  DEPARTMENT OF CHEMICAL & BIOMOLECULAR ENGINEERING

  MS526

  Semiconductor Photoelectrochemistry: Fundamentals and Energy Applications

  KAIST DMSE

  MS617

  Solid-State Electrochemistry

  KAIST DMSE

  EE673

  Photochemical Materials

  KAIST DMSE

  EE563

  Display Engineering

  KAIST Electrical Engineering

  EE568

  Introduction to Organic Electronics

  KAIST Electrical Engineering

• Project for Resource Circulation Technology Systems
  CE475

  Waste Management for Circular Environments

  Civil and Environmental Engineering

  CE560

  Smart and Green Environmental Design

  Civil and Environmental Engineering

  CE545

  Applications of Artificial Intelligence to Transportation System Analyses

  Civil and Environmental Engineering

  ME312

  Energy and Environment

  KAIST Mechanical Engineering

  EE793

  Systems and Applications of Artificial Intelligence and Machine Learning)

  KAIST Electrical Engineering

Research: Complete at least 6 credits

Including 2 credits of seminars

Prerequisites

• GGS511, GGS512, and GGS513 have the following prerequisite course: GGS502
• GGS514 has the following prerequisite course: GGS501

Transitional measures

The above requirements apply to students admitted in fall 2023 or later.

Miscellaneous

Special lectures and regular courses with the same subthemes shall be considered the same even if their course codes are different.

Concentrations

Students must complete at least 12 credits of designated electives to qualify for a concentration