Rooman
Campus AI · For environmental science students

AI for Environmental Science & ESG. ESG, climate and carbon skills, with AI.

Rooman's AI for Environmental Science & ESG is a 30-hour, 6-week online course for BSc Environmental Science, Earth Sciences and Geology students. You learn ESG reporting frameworks, climate data and machine learning, carbon accounting, GIS and sustainability analytics, then write an ESG report in a capstone and earn the Rooman Campus AI Certificate.

30 hours8 modulesWeekly live cohortCapstone project

What you'll be able to do

Add ESG and climate skills to your science degree.

ESG, sustainability and climate roles sit in consultancies, listed companies and ESG-focused funds. This course teaches environmental science students the practical AI and data skills those roles ask for, from reporting frameworks and carbon accounting to GIS and climate data.

01

Report

Speak the language of ESG.

Learn what GRI, SASB, TCFD and India's BRSR require, and write an ESG report of your own.

02

Measure

Put numbers on impact.

Calculate Scope 1, 2 and 3 emissions with AI support, and track sustainability KPIs on dashboards.

03

Map

Analyse place and climate.

Use QGIS and climate data tools for land-use and climate analysis, with a clear view of what ML can and cannot do.

Skills covered

  • Sustainability and ESG career landscape
  • ESG reporting frameworks
  • Climate modelling and AI
  • Carbon accounting with AI
  • GIS and spatial analysis basics
  • Sustainability analytics
  • ESG investing basics

Who it's for

Built for environmental and earth science students.

The course is for BSc Environmental Science, Earth Sciences, Geology and Geography students who want to work in ESG, sustainability or climate roles. It suits aspiring sustainability consultants and climate-tech career aspirants. Recent graduates are welcome too.

Who takes this course

  • BSc Environmental & Earth Sciences
  • BSc Geology & Geography
  • Aspiring sustainability consultants
  • Climate-tech career aspirants

Entry requirements.

  • A current science-stream student, or a recent graduate
  • A background in environmental science
  • Completion of AI for ALL

New to AI? Start with AI for ALL, Rooman's 20-hour, 9-module foundation course. Not sure which course fits? Take the 10-minute career assessment.

30 hours · 8 modules

A curriculum built around a real ESG report.

The modules move from reporting frameworks to climate data, carbon accounting, spatial analysis and analytics, and end with an ESG report of your own.

01Sustainability and ESG career landscape3 hrs

The ESG and sustainability roles at consultancies, listed companies and ESG-focused funds, and what each involves.

Topics covered

  • ESG, sustainability and climate roles: what each involves
  • Who hires: consultancies, listed companies and ESG-focused funds
  • The skills ESG job posts ask for

You produce: a map of ESG roles and the skills each needs.

02ESG reporting frameworks5 hrs

What GRI, SASB, TCFD and India's BRSR each require companies to report.

Topics covered

  • GRI and SASB: what they ask companies to disclose
  • TCFD: reporting climate-related risks
  • India's Business Responsibility and Sustainability Report (BRSR)
  • Choosing and mapping frameworks for a company

You produce: a framework comparison for one company.

03Climate modelling and AI5 hrs

Where climate data comes from, how machine learning is used in climate work, and a candid look at its limits.

Topics covered

  • Climate data sources and climate data tools
  • How machine learning is used in climate research and risk
  • What ML can and cannot tell us about the climate

You produce: a short assessment of one ML climate application.

04Carbon accounting with AI4 hrs

Measure Scope 1, 2 and 3 emissions, with AI helping to gather data and run the calculations.

Topics covered

  • Scope 1, 2 and 3 emissions: what counts where
  • Activity data and emission factors
  • AI-augmented calculation, and checking the numbers

You produce: a carbon footprint estimate across Scopes 1, 2 and 3.

05GIS and spatial analysis basics4 hrs

Map and analyse environmental data with QGIS, from land use to climate impacts.

Topics covered

  • QGIS basics: layers, maps and projections
  • Land-use spatial analysis
  • Mapping climate data and risks

You produce: a land-use or climate map made in QGIS.

06Sustainability analytics4 hrs

Track sustainability KPIs and report performance with clear dashboards.

Topics covered

  • Choosing sustainability KPIs
  • Building dashboards to track them
  • Writing performance reports people can act on

You produce: a sustainability KPI dashboard.

07ESG investing basics3 hrs

How ESG funds use environmental data to assess and compare companies.

Topics covered

  • How ESG funds screen and compare companies
  • The environmental data investors look at
  • Reading a company's environmental data like an investor

You produce: an investor-style summary of one company's environmental data.

08Capstone2 hrs

Produce a complete ESG report or sustainability analysis on a real or hypothetical company.

Topics covered

  • Choosing a real or hypothetical company
  • AI-augmented research and methodology
  • Writing the ESG report or sustainability analysis

You produce: your capstone ESG report.

Tools covered

The tools you'll work with.

Every tool is used hands-on in cohort labs. Python is taught at an introductory level.

Tools covered in AI for Environmental Science & ESG
Tool groupToolsWhat you use them for
AI assistantsChatGPT, ClaudeResearch companies, draft reports and check calculations
ReportingESG reporting frameworksStructure disclosures to GRI, SASB, TCFD and BRSR
Spatial analysisGIS basicsMap land use and climate risk
Climate dataClimate data toolsFind and analyse climate datasets
ProgrammingPython (intro)Work with emissions and climate data

Capstone

One company. A complete ESG report.

Produce a complete ESG report or sustainability analysis on a real or hypothetical company, using AI to support the research, methodology and writing.

Along the way you complete hands-on lab exercises in every module.

Your capstone portfolio.

  • An ESG framework comparison
  • A Scope 1, 2 and 3 emissions estimate
  • A QGIS land-use or climate map
  • A sustainability KPI dashboard
  • Your capstone: a complete ESG report

Your credential

Rooman Campus AI Certificate.

A skill certificate with a completion record. It is not a degree. It records the course you completed and the capstone you built.

Your capstone portfolio shows what you can do with AI, which is what employers, clients and interviewers ask to see.

What's included

Everything you need to finish.

  • Certified industry-expert trainers
  • Weekly live cohort sessions online
  • AI-powered LMS with 1-year access
  • Hands-on lab exercises and a capstone project
  • Résumé, LinkedIn and portfolio workshop
  • Help with internship matching

Before you enrol

Questions environmental science students ask.

Can't find your answer? Call 080 6945 1000 or WhatsApp us.

Who is this course for?

The course is for BSc Environmental Science, Earth Sciences, Geology and Geography students who want to work in ESG, sustainability or climate roles. It suits aspiring sustainability consultants and climate-tech career aspirants. Recent graduates are welcome too.

Which AI course should an Environmental Science student take?

Start with AI for ALL, then take AI for Environmental Science & ESG. It covers ESG reporting frameworks, climate data and machine learning, carbon accounting, GIS, sustainability analytics and ESG investing basics.

Is this for college students only?

Mostly, yes. Recent graduates and career-switchers are welcome too.

What do I need before I start?

You need a background in environmental science and completion of AI for ALL. You do not need the Sciences Foundation, and Python is covered only at an introductory level.

Does it cover BRSR?

Yes. The ESG reporting frameworks module covers India's BRSR alongside GRI, SASB and TCFD, and what each one requires.

Do I need to know coding?

No. Python is covered at an introductory level. The main tools are ChatGPT, Claude, GIS basics, climate data tools and ESG reporting frameworks.

How much time does it take?

30 hours over 6 weeks, combining self-paced lessons with one live cohort session each week.

Is it online or classroom?

It is taught online, with self-paced lessons and a weekly live cohort session, so it fits around college or work. Ask a counsellor about classroom batches.

Will I get hands-on with real tools?

Yes. Every tool listed on this page is used hands-on in cohort labs.

What is the capstone?

Produce a complete ESG report or sustainability analysis on a real or hypothetical company, using AI to support the research, methodology and writing.

What can I do after this course?

You can go further with AI for Agriculture & AgriTech or Data Analytics & AI Foundations, or build your research workflow with Research & Scientific Computing with AI.

Is this course AICTE or UGC approved?

It is a skill course from Rooman, not a UGC-approved degree. You receive the Rooman Campus AI Certificate and a completion record.

Will my college recognise this?

Rooman's partner colleges may count it as a skill credit. Check with your college's placement officer.

Does the course include placement support?

Yes: a résumé and LinkedIn workshop, and help with internship matching. It is not one of Rooman's job-guaranteed programmes.

Which certificate will I receive?

The Rooman Campus AI Certificate, with a record of the course you completed.

How do I find out fees and batch dates?

Talk to a Rooman counsellor on 080 6945 1000 or WhatsApp +91 97390 86029. They will share current fees, payment options and upcoming batch dates.

Can my college run this course for a whole batch?

Yes. Colleges can bring Campus AI courses to their students through Rooman's university partnerships. Placement or training officers can call 080 6945 1000.

Next step

Start with a conversation.

Tell us your course and year, and a counsellor will call you with batch dates, fees and payment options.

I'm enquiring

We’ll only use your details to contact you about this course.

Course details reviewed on 25 September 2026.