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Fees
N/A
Placement
93.0%
Avg Package
₹6,50,000
Highest Package
₹18,00,000
Fees
N/A
Placement
93.0%
Avg Package
₹6,50,000
Highest Package
₹18,00,000
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N/A
Students
N/A
Seats
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Students
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The Spatial Data Science program at IIRS has consistently achieved impressive placement rates, reflecting the high demand for graduates with geospatial expertise in the job market.
| Year | Highest Package (Domestic) | Average Package | Median Package | Placement Percentage | PPOs Received |
|---|---|---|---|---|---|
| 2024 | 1800000 | 650000 | 600000 | 93.0% | 45 |
| 2023 | 1750000 | 620000 | 580000 | 92.0% | 42 |
| 2022 | 1650000 | 580000 | 540000 | 91.0% | 38 |
| 2021 | 1550000 | 540000 | 500000 | 89.0% | 35 |
| 2020 | 1450000 | 510000 | 470000 | 87.0% | 32 |
The program attracts top-tier companies across multiple sectors, including IT/Software, Core Engineering, Finance, Consulting, Analytics, and Public Sector Undertakings (PSUs). Below is a list of prominent recruiters:
The placement trends across different sectors highlight the versatility of Spatial Data Science graduates:
This sector dominates placements with leading companies offering roles in data science, cloud computing, and GIS development. The demand for spatial analytics skills is growing rapidly due to increased adoption of geospatial technologies in software solutions.
Graduates find opportunities in engineering firms involved in infrastructure planning, urban development, and environmental consulting. These roles often involve applying spatial data science methods to solve complex engineering challenges.
Quantitative finance firms utilize geospatial data for market analysis, risk assessment, and trading strategies. Roles include financial analyst, quantitative researcher, and algorithmic trader specializing in geospatial datasets.
Management consulting firms hire graduates for projects involving urban planning, environmental impact assessments, and strategic spatial analysis. The analytical skills developed in the program are highly valued in consulting environments.
Companies focused on business intelligence and data analytics often recruit graduates to work on projects involving spatial data visualization, predictive modeling, and operational optimization.
Public sector undertakings such as ISRO, NRSC, and the Ministry of Environment, Forest and Climate Change offer stable career paths for graduates interested in public service. These roles often involve research, policy development, and implementation of geospatial technologies.
The internship season begins in early summer and extends through late autumn. Students are encouraged to secure internships during their third year to gain practical experience before graduation.
Major companies that offer internships include Google Earth Engine, Planet Labs, Maxar Technologies, Esri, Microsoft Azure GIS Services, and ISRO. These organizations provide stipends ranging from INR 30,000 to INR 100,000 per month depending on the role and duration.
| Company | Highest Stipend (INR) | Average Stipend (INR) |
|---|---|---|
| Google Earth Engine | 100000 | 75000 |
| Planet Labs | 80000 | 60000 |
| Maxar Technologies | 75000 | 55000 |
| Esri | 70000 | 50000 |
| Microsoft Azure GIS Services | 65000 | 45000 |
| ISRO | 60000 | 40000 |
| IBM Watson Geospatial | 55000 | 35000 |
| Sentinel Hub by Airbus | 50000 | 30000 |
The internship experience provides students with exposure to industry practices, mentorship from experienced professionals, and opportunities to contribute to real projects. Many internships lead to full-time offers upon graduation.