GGGS KAIST 녹색성장지속가능대학원

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Courses Research Total credits
Mandatory general Mandatory major Electives
3 credits 0 credits

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
At least 6 credits At least 33 credits

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

Students must complete at least 6 credits from the following Designated Electives I (Core Courses)

GGS501

Climate Policy and Finance

GGS502

Energy and Environmental Technology

GGS503

Global Green Growth Strategy

GGS504

Science of Climate Change

Students must complete at least 3 credits from the following Designated Electives II (Project Courses)

GGS511

Project for Carbon Neutrality Technology Systems

GGS512

Project for Green Energy Systems

GGS513

Project for Resource Circulation Technology Systems

GGS514

Project for Carbon Neutrality Assessments

GGGS Electives

GGS521

Integrated Assessment of Global Environmental Problems

GGS531

Energy and Environmental Data in the Computational Social Sciences

GGS532

Carbon Accounting and Climate Information Disclosure

GGS533

Technical and Economic Evaluation of Green Power Generation Systems

GGS534

Sustainable Systems Design and Life Cycle Assessment

GGS535

Carbon-Free Energy Systems for the Green Economy

GGS541

Microeconomics

GGS542

Green Economy and Policy Analysis

GGS644

Sustainable Finance and Climate Risk Analysis

GGS551

International Relations, Law and Policy of Climate, Environment and Trade

GGS552

Climate and Green Technology Law and Policy

GGS571

Special Topics in Green Growth and Sustainability I

GGS621

Climate and Environmental Scenario Assessment Methodology

GGS641

Theory of Consumer Behavior and Decision Making

GGS642

Energy and Resource Economics

GGS643

Advanced Econometrics

GGS645

Sustainable Energy Finance

Courses offered by participating departments

  • Basic
    CD401/402

    Multidisciplinary Capstone Design I / II (choose one)

    K-School

    CoE491

    Special Topics in Smart Convergence

    KAIST College of Engineering

    STP601

    Survey in Science, Technology, and Public Policy

    KAIST Graduate School of Science and Technology Policy

    BTM530

    Principles of Accounting

    BTM KAIST

    AI501

    Machine Learning for AI

    Kim Jaechul Graduate School of Artificial Intelligence

    AI504

    Programming for AI

    Kim Jaechul Graduate School of Artificial Intelligence

    DS501

    Statistical Inference for Data Science

    KAIST ISysE

    DS504

    Programming for Data Science

    KAIST ISysE

    IE541

    Advanced Engineering Statistics

    KAIST ISysE

    IE542

    Regression Anlysis: Theory and Practice

    KAIST ISysE

    CC512

    Introduction to Materials Science and Engineering

    KAIST DMSE

    EE469

    Brains, Machines, and Socities

    KAIST Electrical Engineering

  • Project for Green Energy Systems
    ME554

    Future energy-utilization engineering

    KAIST Mechanical Engineering

    ME616

    Mobility Power and Environment

    KAIST Mechanical Engineering

    ME476

    Carbon-Neutral Energy & Power

    KAIST Mechanical Engineering

    CBE571

    Energy Engineering

    DEPARTMENT OF CHEMICAL & BIOMOLECULAR ENGINEERING

    CBE472

    Introduction to New and Renewable Energy

    DEPARTMENT OF CHEMICAL & BIOMOLECULAR ENGINEERING

    MS626

    Physical Properties of EnergyMaterials

    KAIST DMSE

    EE464

    Electrical Engineering for Green Energy

    KAIST Electrical Engineering

    EE567

    Photovoltaic Power Generation

    KAIST Electrical Engineering

    MO520

    Electric Powertrain Engineering

    Cho Chun Shik Graduate School of Mobility

    MO501

    Modeling and Control of Electric Propulsion Systems

    Cho Chun Shik Graduate School of Mobility

    MO531

    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

    BTM535

    Technology Management and Corporate Finance

    BTM KAIST

    BTM635

    Investments Theory

    BTM KAIST

    BTM500

    Advanced Statistics for Management

    BTM KAIST

  • Project for Carbon Neutrality Technology Systems
    CBE771

    Advanced Electrochemical Engineering

    DEPARTMENT OF CHEMICAL & BIOMOLECULAR ENGINEERING

    CBE624

    Nanomaterials and Nanotechnology for Energy and Environment

    DEPARTMENT OF CHEMICAL & BIOMOLECULAR ENGINEERING

    MS526

    Semiconductor Photoelectrochemistry: Fundamentals and Energy Applications

    KAIST DMSE

    MS617

    Solid-State Electrochemistry

    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

    CE545

    Applications of Artificial Intelligence to Transportation System Analyses

    Civil and Environmental Engineering

    CE560

    Smart and Green Environmental Design

    Civil and Environmental Engineering

    CE567

    Urban and Regional Sustainability

    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

  • GGGS511, GGS512, and GGS513 have the following prerequisite course: GGS502 or GGS533
  • GGS514 has the following prerequisite course: GGS501 or GGS521

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