Prospectus

The Centre for Environmental Health and Safety (CEHS) which has been set up under the aegis of IGMPI - an autonomous Institute recognised by Ministry of Commerce & Industry, accredited Vocational Institution of Ministry of Education, Government of India and licensed and certified by Bureau of Indian Standards (BIS) under Bureau of Indian Standards (Conformity Assessment) Regulations 2018. ), is focused on advancing professional education, skill development and awareness in the interconnected fields of environment, occupational health, safety and sustainability. The Centre aims to support individuals and organisations in understanding and responding to the environmental and workplace challenges emerging from rapid industrialisation, urbanisation, technological development and climate change.

Today, environmental protection and workplace safety are no longer viewed as separate organisational responsibilities. Businesses and institutions are increasingly expected to create safe and healthy workplaces, manage environmental impacts, use resources responsibly, comply with applicable requirements and integrate sustainability into decision-making. CEHS seeks to contribute to this transition by developing professionals who can understand these interconnected challenges and apply their knowledge in practical settings.

Through its academic and professional programmes, CEHS provides opportunities for graduates, working professionals, environmental practitioners, safety professionals, engineers, managers and individuals seeking to develop specialised competencies. The Centre's programmes are designed to support both career development and continuous professional learning in areas that are increasingly important across industries and sectors.

CEHS offers programmes covering a broad range of contemporary subjects, including Environmental Health and Safety, Industrial Safety Management, Environmental Management, Environmental Impact Assessment, Environmental Law and Policy, ESG, Climate Change, Sustainable Development, Waste Management, Renewable Energy, Life Cycle Assessment, Circular Economy, Carbon Management, Behaviour-Based Safety and AI and Data for Environmental Sustainability. This multidisciplinary approach reflects the changing nature of environmental and safety responsibilities in modern organisations.

A key focus of CEHS is to make professional learning practical, relevant and connected to real-world situations. Learning is supported through contemporary examples, case studies, industry practices, regulatory developments, applied concepts and discussions around emerging environmental and occupational challenges. The objective is not simply to provide information, but to help learners develop the ability to analyse problems, assess risks, understand regulatory and organisational requirements and identify practical solutions.

The Centre also recognises the importance of developing a strong culture of prevention. Effective environmental and safety management begins with awareness but requires much more than compliance alone. It involves responsible leadership, informed decision-making, risk identification, employee participation, resource efficiency and a commitment to continual improvement. CEHS promotes these principles through its professional learning initiatives and encourages learners to look at environmental and safety challenges from both technical and organisational perspectives.

As sustainability continues to influence business strategies and public policy, professionals are increasingly required to understand areas such as climate resilience, ESG, resource efficiency, circular economy, environmental governance, sustainable production and responsible risk management. CEHS seeks to keep its learning portfolio responsive to these changing requirements and emerging areas of professional practice.

The Centre also places importance on continuous learning and professional upskilling. Environmental regulations, technologies, standards, workplace practices and sustainability expectations continue to evolve. CEHS therefore aims to provide learners with opportunities to update their knowledge, strengthen their professional capabilities and remain prepared for changing responsibilities within their respective fields.

CEHS brings together the perspectives of environmental management, occupational health and safety, sustainability, regulatory awareness and professional development. This integrated approach reflects the understanding that healthy people, safe workplaces, responsible organisations and a healthy environment are closely connected.

Our Commitment

At CEHS, our commitment is to promote knowledge that can be applied, skills that can create impact and learning that remains relevant to changing professional needs. We strive to support the development of capable professionals who can contribute to safer workplaces, better environmental management, responsible organisational practices and sustainable development.

We believe that meaningful progress is achieved when economic development goes hand in hand with environmental responsibility, human well-being and safety. Through education, professional training and continuous skill development, CEHS aims to contribute to a workforce that is better prepared to address today's challenges and shape a safer, healthier and more sustainable future.

The Post Graduate and Executive Diploma programmes of IGMPI in Good Manufacturing Practices, Regulatory Affairs, Intellectual Property Rights, Quality Assurance and Quality Control, Public Health, Nanotechnology, Hospital Management, Product Management, Sales and Marketing Management, Clinical Research, Medical Writing, Drug Discovery and Development, Pharmacovigilance, Medical Coding have been duly assessed and approved by Quality Council of India, Government of India based on fulfillment of QCI's following criteria:

    1. Course Content
    2. Course Design
    3. Course Material
    4. Instructors
    5. Class size & Attendance
    6. Facilities
    7. Evaluation of Students
    8. Written Examination
    9. Certificate

IGMPI is also approved by Food Safety and Standards Authority of India (FSSAI) (FSSAI ID: TPINS18). IGMPI® is licensed by Department of Food Safety & Drug Administration under the Drugs and Cosmetics Act, 1940 and registered under Food Safety and Standards Act 2006.

IGMPI is also approved by Sector Skills Council under National Skill Development Corporation (NSDC) setup by Ministry of Skill Development & Entrepreneurship, Govt of India (TC ID:TC342267).

IGMPI has been conferred with the prestigious "BUREAU OF INDIAN STANDARDS (BIS) AWARD OF HONOUR 2023". QUALITY COUNCIL OF INDIA (QCI) has also conferred IGMPI with D.L. SHAH NATIONAL QUALITY AWARD, Certificate of Merit & ASSOCHAM has conferred IGMPI with the Services Excellence Award based on excellence of its services to the students and training participants.

Bureau of Indian Standards (BIS) is a member of International Organization for Standardization (ISO) and through the Indian National Committee (INC) which is a member of International Electrotechnical Commission (IEC). BIS is also a member of regional standards bodies like Pacific Area Standards Congress (PASC) and South Asian Regional Standards Organization (SARSO). India started taking part in IEC from 1911 and subsequently the then Indian Standards Institution (now BIS) took over the responsibility of Indian National Committee of IEC(INC-IEC) in 1949. Since then the INC-IEC is actively participating in the activities of the IEC both at the policy level and technical work and carrying out the responsibilities as member body of IEC Council. India is a member in Standards Management Board (SMB) of IEC since 2015.BIS has also signed Bilateral Cooperation Agreements (BCA)/Mutual Recognition Agreements (MRA) with the National Standards Bodies of several countries like Afghanistan, Bangladesh, Belarus, Egypt, European Union , Germany, Ghana, Greece, Indonesia, Iran, Japan, Jordon, Kenya, Kyrgyzstan, Mali, Mauritius, Nigeria, Russia, Saudi Arabia , Slovakia, Slovenia, Suriname, USA, UAE, Uzbekistan, Viet Nam, Bhutan, Brazil, Israel, Nepal, Pakistan and Sri Lanka.

National Accreditation Board for Certification Bodies (NABCB), Quality Council of India is a member of International Accreditation Forum (IAF) & Pacific Accreditation Cooperation (PAC) as well as signatory to its MLAs for Quality Management Systems, Environmental Management Systems and Product Certification. NABCB is also a Full Member of International Laboratory Accreditation Cooperation (ILAC) & Asia Pacific Laboratory Accreditation Cooperation (APLAC) as well as signatory to its MRAs for Inspection.

The Post Graduate/Executive Diploma in AI and Data for Environmental Sustainability is designed to equip professionals and learners with the skills to harness data science and artificial intelligence in tackling global environmental challenges. In a world where sustainability and technology increasingly intersect, this program provides a vital bridge between environmental systems understanding and modern analytical techniques, enabling participants to turn complex data into meaningful, actionable insights.

Throughout the course, participants explore how AI, machine learning, and big data analytics can be applied to areas such as climate change mitigation, renewable energy optimization, carbon management, waste reduction, and biodiversity monitoring. The curriculum integrates both conceptual learning and hands-on projects, emphasizing the ethical and responsible use of AI for sustainable development.

By the end of the program, participants will be able to design and implement data-driven solutions that enhance environmental decision-making, strengthen sustainability reporting, and support organizations and communities in advancing toward a low-carbon, resilient, and resource-efficient future.

Programme Structure

Module 1: Foundations of Environmental Systems and Sustainability Frameworks

• Principles of environmental sustainability — ecosystems, resources, and SDGs.
• Climate systems, GHG emissions, and planetary boundaries.
• Global policy frameworks: Paris Agreement, UN SDGs, ESG disclosure.

Module 2: Data Literacy and Digital Foundations for Sustainability

• Environmental data types — spatial, temporal, sensor, and socio-economic datasets.
• Data collection, cleaning, and visualization for environmental analysis.
• Open data sources — NASA, NOAA, Copernicus, IPCC, CPCB, MoEFCC datasets.

Module 3: Artificial Intelligence and Machine Learning Fundamentals

• Supervised and unsupervised learning for environmental data.
• Model selection, validation, and performance metrics.
• Introduction to AI ethics, bias, and responsible AI for sustainability.

Module 4: Remote Sensing, GIS, and Earth Observation for Environmental Monitoring

• Fundamentals of GIS and remote sensing; satellite imagery types and resolution.
• Tools: Google Earth Engine, QGIS, and Copernicus Open Hub.
• Applications: land-use change detection, deforestation, water stress, and pollution mapping.

Module 5: AI Applications for Climate Change and Carbon Management

• AI for GHG estimation, forecasting, and emission hotspot analysis.
• Predictive modeling for renewable energy and carbon sequestration potential.
• Integration with carbon market MRV and corporate sustainability reporting systems.

Module 6: Environmental Big Data and IoT Systems

• IoT sensor networks for air, water, and soil monitoring.
• Data pipelines: real-time streaming, cloud storage, and dashboarding.
• Data fusion and anomaly detection in environmental data.

Module 7: AI for Renewable Energy Systems and Smart Grids

• Solar and Wind Energy Analytics — forecasting generation using AI and machine learning models; optimizing integration of intermittent renewables.
• Smart Grids and Energy Efficiency Optimization — load balancing, predictive maintenance, and grid resilience through intelligent data systems.
• AI-Based Demand Prediction and Energy Management — using predictive algorithms for consumption forecasting, peak-load management, and energy storage optimization.

Module 8: Environmental Risk Assessment and Decision Support Systems

• Predictive analytics for environmental risk and disaster management.
• Scenario modeling for flood, drought, and heatwave prediction.
• Decision support tools integrating AI, geospatial, and socio-economic indicators.

Module 9: AI in ESG, Corporate Sustainability & Reporting

• ESG data analytics — automation of disclosures and KPI tracking.
• AI for sustainability reporting (GRI, CDP, SASB, TCFD frameworks).
• Text mining for sustainability reports and sentiment analysis of ESG performance.

Module 10: Ethics, Governance, and Future Directions of AI for Sustainability

• Responsible AI principles (UNESCO, OECD, ISO 42001 AI Management Standards).
• Data privacy, bias, and transparency in environmental applications.
• Future trends — Generative AI for climate modeling, LLMs for sustainability analytics.

Module 11: Environmental Data Science and Programming for Sustainability

• Python fundamentals for environmental analytics
• Data manipulation using Pandas and NumPy
• Data visualization using Matplotlib and Power BI
• Environmental database management
• Sustainability analytics workflows

Module 12: Geospatial AI and Advanced Earth Observation Analytics

• Machine learning for satellite image analysis
• AI-based land use and land cover classification
• Deep learning in remote sensing
• Geospatial predictive analytics
• Environmental change detection using AI

Module 13: Life Cycle Assessment (LCA) and Sustainability Intelligence

• ISO 14040 and ISO 14044 standards
• Life Cycle Inventory (LCI)
• Life Cycle Impact Assessment (LCIA)
• Product Environmental Footprint (PEF)
• AI-assisted Life Cycle Assessment
• Integration of LCA with ESG reporting

Module 14: Sustainable Finance, Climate Risk and Carbon Markets

• Sustainable finance principles
• ESG investing and green finance
• Carbon markets and carbon trading mechanisms
• Climate risk assessment
• Climate-related financial disclosures
• AI applications in climate risk analytics

Module 15: Generative AI and Large Language Models (LLMs) for Sustainability

• Fundamentals of Generative AI
• LLMs for environmental knowledge systems
• AI-assisted sustainability reporting
• Automated ESG disclosure generation
• Climate intelligence assistants
• Future applications of Generative AI in sustainability

Module 16: Circular Economy and Resource Efficiency Analytics

• Circular economy principles
• Material flow analysis
• Resource efficiency assessment
• AI for waste management
• Circular supply chains
• Industrial symbiosis

Module 17: Industry Case Studies

• Real-world case studies from environment, sustainability, climate, and development sectors:
• AI in climate forecasting and disaster management.
• Data-driven air quality and pollution tracking.
• AI for agriculture, water management, and biodiversity monitoring.
• Corporate sustainability reporting and ESG analytics. 

Eligibility

Graduates in any discipline are eligible for our Post Graduate Diploma, Executive Diploma and Professional Certifications Programmes. 10+2 pass-outs are eligible for our Under Graduate Diploma and Diploma holders of two to three years course duration are also eligible for the PG Diploma.

Programme Duration

The minimum duration to complete the PG diploma programme is 12 months and maximum is 24 months. The minimum duration to complete the executive diploma programme is 6 months and maximum is 12 months.

Programme Mode

Registrations are currently open for regular and Part-time (Online Live Classes) both modes.

Programme Deliverables

A comprehensive study material for all the modules in hard copies ensuring the needs of the audience. The accompanying training material is appropriately aligned with the current Industry’s expectations.

• Interactive or online live sessions on all key areas of the programme giving all flexibility to the participants
• Online classes for all the modules will be conducted on the weekends. Moreover, a doubt clearing session will also be scheduled before the examination
• All the efforts are made by IGMPI faculty members to make the entire programme modules easily understandable
• Assessment and evaluation for all the programme modules in order to enhance the levels of competencies and skills of the participants leading towards the objective of application in the job
• At the end of each programme modules, the trainers shall obtain feedback from the participants using specially designed questionnaires
• All learning and training delivery initiatives shall be conducted in English

Examination and Certification

All the participants are obliged to timely submit completed assessment assignments (during the programme, usually after every module) and appear for an online proctored exam at the end of the programme. After successful completion, the participants will be awarded Post Graduate/Executive Diploma in AI and Data for Environmental Sustainability  by IGMPI. For all the above-mentioned modules elaborate programme material, self-assessment assignments and project work details would be provided by the Institute from time to time. Details get updated on the webpage as well.

Discipline in Classes and Examination

Every student is required to observe a disciplined behaviour during her/his classes, assessments & examinations and to follow instructions from the Professors. Any act of indiscipline may result into discredit & it will be mentioned in her/his academic report.

Placement Assistance & Corporate Relations

The Institute has partnered with many organizations for providing with placement assistance to its participants. Besides, it has a robust placement cell comprised of senior level Human Resources professionals and Talent Acquisition experts which maintains close links with business and industry. This cell is continuously engaged in promoting the employability of our participants and encouraging the concerned Human Resource department and Hiring Managers to recruit/hire our participants for their vacant positions. The efforts of our placement cell also include helping with professional resume writing and interview skills.

In recent months, the Institute has witnessed more and more participation from professionals working with global think tanks. The IGMPI ‘s Corporate Resource Division actively recommends our students and training participants for various job requirements and specialized roles to Human Resource, Talent Acquisition as well as the heads of various departments in the industrial sector on a regular basis.

Future career prospects

Graduates of the Post Graduate/Executive Diploma in AI and Data for Environmental Sustainability will be uniquely positioned at the intersection of technology, data analytics, and environmental management — an area witnessing rapid global growth. As sustainability transitions become central to business strategy and policy planning, demand for professionals who can apply AI and data insights to environmental problems is rising across industries and institutions worldwide.

Potential Career Pathways Include:

• Environmental Data Scientist or Analyst
• Climate and Sustainability Data Specialist
• AI/ML Engineer for Environmental Applications
• ESG and Sustainability Reporting Analyst
• Smart Cities and Resource Efficiency Consultant
• Carbon Market and Climate Intelligence Analyst
• Remote Sensing and Geospatial Data Engineer
• Environmental Risk and Resilience Modeler

Leading Organizations and Sectors That Value These Skills Include:

• International development and climate organizations (UNEP, World Bank, UNDP, ADB)
• Environmental and sustainability consulting firms
• Energy, renewable power, and clean-tech companies
• Corporate ESG and sustainability divisions in multinational corporations
• Government and policy think tanks focused on climate and natural resources
• Research institutes, academic centers, and environmental NGOs
• Technology and AI firms developing solutions for smart cities, waste management, and carbon tracking

This certification opens doors to diverse, future-ready careers that combine technical innovation with environmental stewardship — preparing professionals to lead the digital transformation of sustainability.