Courses | Research | Total credits | ||
---|---|---|---|---|
Mandatory general | Mandatory major | Electives | ||
3 credits | 0 credits |
At least 24 credits
|
At least 6 credits | At least 33 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
Students must complete at least 6 credits from the following Designated Electives I (Core Courses)
Climate Policy and Finance
Energy and Environmental Technology
Global Green Growth Strategy
Science of Climate Change
Students must complete at least 3 credits from the following Designated Electives II (Project Courses)
Project for Carbon Neutrality Technology Systems
Project for Green Energy Systems
Project for Resource Circulation Technology Systems
Project for Carbon Neutrality Assessments
GGGS Electives
Integrated Assessment of Global Environmental Problems
Energy and Environmental Data in the Computational Social Sciences
Carbon Accounting and Climate Information Disclosure
Technical and Economic Evaluation of Green Power Generation Systems
Sustainable Systems Design and Life Cycle Assessment
Carbon-Free Energy Systems for the Green Economy
Microeconomics
Green Economy and Policy Analysis
Sustainable Finance and Climate Risk Analysis
International Relations, Law and Policy of Climate, Environment and Trade
Climate and Green Technology Law and Policy
Special Topics in Green Growth and Sustainability I
Climate and Environmental Scenario Assessment Methodology
Theory of Consumer Behavior and Decision Making
Energy and Resource Economics
Advanced Econometrics
Sustainable Energy Finance
Courses offered by participating departments
Multidisciplinary Capstone Design I / II (choose one)
K-School
Special Topics in Smart Convergence
KAIST College of Engineering
Survey in Science, Technology, and Public Policy
KAIST Graduate School of Science and Technology Policy
Principles of Accounting
BTM KAIST
Machine Learning for AI
Kim Jaechul Graduate School of Artificial Intelligence
Programming for AI
Kim Jaechul Graduate School of Artificial Intelligence
Statistical Inference for Data Science
KAIST ISysE
Programming for Data Science
KAIST ISysE
Advanced Engineering Statistics
KAIST ISysE
Regression Anlysis: Theory and Practice
KAIST ISysE
Introduction to Materials Science and Engineering
KAIST DMSE
Brains, Machines, and Socities
KAIST Electrical Engineering
Future energy-utilization engineering
KAIST Mechanical Engineering
Mobility Power and Environment
KAIST Mechanical Engineering
Carbon-Neutral Energy & Power
KAIST Mechanical Engineering
Energy Engineering
DEPARTMENT OF CHEMICAL & BIOMOLECULAR ENGINEERING
Introduction to New and Renewable Energy
DEPARTMENT OF CHEMICAL & BIOMOLECULAR ENGINEERING
Physical Properties of EnergyMaterials
KAIST DMSE
Electrical Engineering for Green Energy
KAIST Electrical Engineering
Photovoltaic Power Generation
KAIST Electrical Engineering
Electric Powertrain Engineering
Cho Chun Shik Graduate School of Mobility
Modeling and Control of Electric Propulsion Systems
Cho Chun Shik Graduate School of Mobility
Battery System Modeling and Control
Cho Chun Shik Graduate School of Mobility
Science, Technology, and Global Development
KAIST Graduate School of Science and Technology Policy
Technology Management and Corporate Finance
BTM KAIST
Investments Theory
BTM KAIST
Advanced Statistics for Management
BTM KAIST
Advanced Electrochemical Engineering
DEPARTMENT OF CHEMICAL & BIOMOLECULAR ENGINEERING
Nanomaterials and Nanotechnology for Energy and Environment
DEPARTMENT OF CHEMICAL & BIOMOLECULAR ENGINEERING
Semiconductor Photoelectrochemistry: Fundamentals and Energy Applications
KAIST DMSE
Solid-State Electrochemistry
KAIST DMSE
Display Engineering
KAIST Electrical Engineering
Introduction to Organic Electronics
KAIST Electrical Engineering
Waste Management for Circular Environments
Civil and Environmental Engineering
Applications of Artificial Intelligence to Transportation System Analyses
Civil and Environmental Engineering
Smart and Green Environmental Design
Civil and Environmental Engineering
Urban and Regional Sustainability
Civil and Environmental Engineering
Energy and Environment
KAIST Mechanical Engineering
Systems and Applications of Artificial Intelligence and Machine Learning
KAIST Electrical Engineering
Including 2 credits of seminars
The above requirements apply to students admitted in fall 2023 or later.
Special lectures and regular courses with the same subthemes shall be considered the same even if their course codes are different.
Students must complete at least 12 credits of designated electives to qualify for a concentration