Placement Statistics
The Satellite Image Processing program at Indian Institute Of Remote Sensing has consistently demonstrated strong placement outcomes, with a high percentage of students securing jobs in top-tier organizations. The following table presents detailed statistics for the last seven years:
| Year | Highest Package (Domestic) | Highest Package (International) | Average Package | Median Package | Placement Percentage | PPOs Received |
|---|---|---|---|---|---|---|
| 2025 | 800000 | 1200000 | 450000 | 420000 | 92.0% | 76 |
| 2024 | 750000 | 1100000 | 420000 | 390000 | 91.0% | 72 |
| 2023 | 700000 | 1000000 | 390000 | 360000 | 89.0% | 68 |
| 2022 | 650000 | 950000 | 370000 | 340000 | 87.0% | 64 |
| 2021 | 600000 | 900000 | 350000 | 320000 | 85.0% | 60 |
| 2020 | 550000 | 850000 | 320000 | 300000 | 83.0% | 56 |
| 2019 | 500000 | 800000 | 300000 | 280000 | 80.0% | 52 |
Top Recruiting Companies
A wide range of organizations regularly recruit graduates from the Satellite Image Processing program at Indian Institute Of Remote Sensing. These companies span multiple sectors, including IT/Software, Core Engineering, Finance, Consulting, Analytics, and Public Sector Undertakings (PSUs). The following list includes top recruiters and typical job profiles they offer:
- ISRO: Software Engineer, Data Analyst, Remote Sensing Specialist
- Google Earth Engine: Software Engineer, Geospatial Developer, Research Scientist
- Planet Labs: Data Scientist, Machine Learning Engineer, Product Manager
- Airbus Defence and Space: Satellite Systems Engineer, Image Processing Specialist, Technical Consultant
- Amazon Web Services (AWS): Cloud Solutions Architect, Geospatial Analyst, Data Engineer
- Microsoft Azure: Cloud Developer, AI Researcher, Spatial Data Scientist
- ESA (European Space Agency): Remote Sensing Technician, Satellite Mission Planner, Data Analyst
- SpaceX: Systems Engineer, Orbital Mechanics Specialist, Data Processor
- NASA: Research Scientist, Data Analyst, Project Coordinator
- BHEL: Technical Officer, Software Developer, Systems Engineer
- NTPC: Environmental Consultant, Data Analyst, Energy Planning Specialist
- ONGC: Oil & Gas Engineer, Geospatial Analyst, Exploration Technician
- Tata Consultancy Services (TCS): Software Developer, System Analyst, Technical Consultant
- Infosys: Data Scientist, AI Engineer, Cloud Solutions Developer
- Wipro: IT Consultant, Systems Engineer, Data Analyst
- Cognizant: Software Engineer, Machine Learning Specialist, Data Architect
- Accenture: Technology Consultant, Data Scientist, AI Specialist
- HCL Technologies: Software Developer, System Engineer, Data Analyst
- Tech Mahindra: Cloud Solutions Engineer, Geospatial Developer, IT Consultant
- Mindtree: Data Scientist, AI Engineer, Technical Lead
Sector-Wise Analysis
The demand for Satellite Image Processing graduates spans across multiple sectors, each offering unique opportunities and career paths. The following analysis highlights trends and key recruiters in each sector:
IT/Software
In the IT/Software sector, graduates often find roles in companies that develop geospatial applications, cloud-based platforms for satellite data processing, or AI-driven solutions for remote sensing tasks. These roles typically involve working with large datasets, developing algorithms for image classification, and building interactive web dashboards.
Core Engineering
Core engineering firms such as BHEL, NTPC, and ONGC seek graduates with expertise in environmental monitoring, resource mapping, and risk assessment. These roles often involve applying satellite data to optimize energy exploration, assess environmental impacts, and support infrastructure planning.
Finance
In quantitative finance, graduates may work as data analysts or risk scientists, using satellite-derived information to model market trends, evaluate asset performance, or predict commodity prices. Their analytical skills are particularly valuable in hedge funds and investment firms that rely on geospatial insights for decision-making.
Consulting
Consulting firms often hire graduates to provide expertise in environmental impact assessments, urban planning projects, and strategic planning for government agencies or private enterprises. The ability to interpret satellite data and present findings clearly is highly valued in these roles.
Analytics
Analytics companies look for professionals who can extract actionable insights from complex datasets using statistical methods and machine learning techniques. Graduates are often tasked with developing predictive models, performing trend analysis, and creating visualizations that inform business decisions.
PSUs
Public Sector Undertakings (PSUs) offer stable career paths for graduates interested in contributing to national development initiatives. These roles may involve monitoring natural resources, assessing disaster risks, or supporting policy-making processes using remote sensing technologies.
Internship Season
The internship season at Indian Institute Of Remote Sensing is a crucial component of the student experience, providing real-world exposure and networking opportunities with industry leaders. The process typically begins in the third year, where students are encouraged to apply for internships with companies that align with their interests and career goals.
Key companies that participate in the internship season include ISRO, Google Earth Engine, Planet Labs, Airbus Defence and Space, Amazon Web Services, Microsoft Azure, ESA, SpaceX, and NASA. These organizations offer internships ranging from 2 to 6 months, with stipends varying based on company policy and performance.
Stipend Details
| Company | Highest Stipend | Average Stipend |
|---|---|---|
| ISRO | 30000 | 25000 |
| Google Earth Engine | 40000 | 35000 |
| Planet Labs | 35000 | 30000 |
| Airbus Defence and Space | 45000 | 40000 |
| Amazon Web Services | 50000 | 45000 |
| Microsoft Azure | 48000 | 42000 |
| ESA (European Space Agency) | 42000 | 38000 |
| SpaceX | 55000 | 50000 |
| NASA | 60000 | 55000 |
Internship opportunities are highly competitive, and students are advised to prepare thoroughly by developing a strong portfolio, gaining relevant experience through projects, and building technical skills in tools such as Python, R, MATLAB, and GIS platforms. The institute provides guidance on resume writing, interview preparation, and career planning throughout the internship season.