Course Curriculums


The Department of Climate Change is a multidisciplinary department that offers the following academic programs to train students in the scientific, engineering, and societal aspects of climate change: 2-year M.Tech (TA), 3-year M.Tech (RA), UG Minor and PhD programs .

Philosophy behind the course curriculum

The curriculum is designed as a balanced combination of core and elective courses. The core courses provide a strong foundation in the scientific, computational, and policy dimensions of climate change. Electives let students specialize in diverse areas, including climate science, climate change adaptation, climate modeling, weather forecasting, hydrometeorology, climate extremes, remote sensing, sustainability, renewable energy, artificial intelligence, high-performance computing, and data analysis.



Masters & PhD Handbook
Academic Handbook




2 Year M.Tech (TA) Curriculum

Semester 1

Course Code Course title Credits course type

CC5320

Introduction to Climate Science and Climate Monitoring

3

Department Core

CC5140

Climate Governance

2

Department Core

CC5360

Applied Mathematics and Scientific Computing for Climate Science

3

Department Core

Electives

6

Department Elective

Total Credits

14

Semester 2

Course Code Course title Credits course type

CC5400

Climate Modeling

3

Department Core

CC5001

Climate Instrumentation Lab

1

Department Core

CC5220

Climate Change Mitigation and Adaptation

2

Department Core

Electives

6

Department Elective

CC5160

Industry Lectures

1

Life skills

LA5180

English Communication

1

Soft skills

Total Credits

14

Semester 2 Summer

Course Code Course title Credits course type

CC6005

MTech Thesis Stage-I

2

Thesis

Semester 3

Course Code Course title Credits course type

CC6015

MTech Thesis Stage-II

10

Thesis

Semester 4

Course Code Course title Credits course type

CC6025

MTech Thesis Stage-III

12

Thesis



Semester 1 Electives

Course Code Course title Credits

CC5200

RS, GIS and Climate Change

3

CC5370

Essentials of Meteorology

2

CC5380

Paleoclimatology: a peek into ancient climate change

1

CC5350

Translational Science for Collaborative Research

3

CE6501

Applied Computational Laboratory

2

CE6243

Life Cycle Sustainability Analysis

2

ME5480

Sustainable Energy Technology

3

ET5060

Bio-Energy

2

CH6870

Machine Learning for Process Systems Engineering

1



Semester 2 Electives

Course Code Course title Credits

CC5283

Climate Data Analysis and Methods

2

CC5390

Artificial Intelligence and Machine Learning for Climate Science

3

CC5300

Critical Reading of IPCC Report: Impacts, Adaptation and Vulnerability

1

CC5310

Hydrometeorological Forecasting

2

CC5330

Climate Change and Health

2

CC5900

Life Cycle Assessment (LCA) for Corporate Sustainability and Climate Change

2

CC6010

Research Methodology and Scientific Writing

1

SE5290

Recycling and Sustainability of Green Energy Materials

2





3 Year M.Tech (RA) Curriculum

Semester 1

Course Code Course title Credits course type

CC5320

Introduction to Climate Science and Climate Monitoring

3

Department Core

CC5140

Climate Governance

2

Department Core

CC5360

Applied Mathematics and Scientific Computing for Climate Science

3

Department Core

M.Tech RA Thesis Stage-1

2

Thesis

Total Credits

10

Semester 2

Course Code Course title Credits course type

CC5400

Climate Modeling

3

Department Core

CC5001

Climate Instrumentation Lab

1

Department Core

CC5220

Climate Change Mitigation and Adaptation

2

Department Core

M.Tech RA Thesis Stage-2

2

Thesis

CC5160

Industry Lectures

1

Life skills

LA5180

English Communication

1

Soft skills

Total Credits

10

Semester 2 Summer

Course Code Course title Credits course type

M.Tech RA Thesis Stage-3

2

Thesis

Semester 3

Course Code Course title Credits course type

Electives

6

Department Elective

M.Tech RA Thesis Stage-4

2

Thesis

Total Credits

8

Semester 4

Course Code Course title Credits course type

Electives

6

Department Elective

M.Tech RA Thesis Stage-5

2

Thesis

Total Credits

8

Semester 4 Summer

Course Code Course title Credits course type

M.Tech RA Thesis Stage-6

2

Thesis

Semester 5

Course Code Course title Credits course type

M.Tech RA Thesis Stage-7

6

Thesis

Semester 6

Course Code Course title Credits course type

M.Tech RA Thesis Stage-8

6

Thesis



UG Minor Program Curriculum

Minor in Climate Change for B.Tech (Minimum Credit Requirement = 12)


Basket 1 - Core Courses (Choose minimum 5 credits)

Course Number Course Title Credits Semester
CC1010 Introduction to Climate Change 1 odd
CC5320 Introduction to Climate Science and Climate Monitoring 3 odd
CC5140 Climate Governance 2 odd
CC5400 Climate Modeling 3 even
CC5220 Climate Change Mitigation and Adaptation 2 even
CC5001 Climate Instrumentation Lab 1 even


Basket 2 - Elective Courses (Choose minimum 5 credits)

Course Number Course Title Credits Semester
CC5200 RS, GIS and Climate Change 3 odd
CC5370 Essentials of Meteorology 2 odd
CC5380 Paleoclimatology: a peek into ancient climate change 1 odd
CC5283 Climate Data Analysis and Methods 2 even
CC5390 Artificial Intelligence and Machine Learning for Climate Science 3 even
CC5300 Critical Reading of IPCC Report: Impacts, Adaptation and Vulnerability 1 even
CC5310 Hydrometeorological Forecasting 2 even
CC5330 Climate Change and Health 2 even
CC5900 Life Cycle Assessment (LCA) for Corporate Sustainability and Climate Change 2 even


PhD Program Curriculum

All core and elective courses offered in the department are also available for PhD students. The credit requirements vary based on academic background and mode of admission. At least 50% of the requirement must be fulfilled by courses offered in the department, and the remaining credits may be optionally taken from other departments. Additionally, the following NPTEL courses are available exclusively for external PhD students.

Course Code Course title Credits

CC9010

An Introduction to Climate Dynamics, Variability and Monitoring

3

CC9020

Introduction to Machine Learning

3

CC9030

Machine Learning for Engineering and Science Applications

3