Admission Open-2026
Post Graduate Diploma in Geoinformatics
The one year Post Graduate Diploma in Geoinformatics aims to provide conceptual knowledge on GIS, remote sensing and related fields, and hands-on training in GIS, remote sensing data interpretation, digital image processing, digital photogrammetry, digital cartography, webGIS, GPS,2D and 3D drafting. The course contents have been designed after an exhaustive research keeping in view the emerging trends in the field of Geoinformatics as well as the current industry
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Highlights
| Course Name | PG Diploma in Geoinformatics |
| Affiliation | Authorised Training Center of ITT Council |
| Duration | 12 Months (9 Months Training and 3 Months Internship/Project) |
| Eligibility | Graduation /UG- Result Awaited |
| Placement Assistance | Yes |
| Fee Structure | |
| Mode of Training | Offline – Delhi / Online – Live Classes / Hybrid |
MODE OF TRAINING
| Offline | Regular : Classroom Training -Delhi Center |
| Online | Regular : Online Live SESSION: Instructed led LIVE in-depth sessions Communications: two-way communication via text & speech Class recordings will be provided after class |
| Hybrid | Offline (Doubts Clearing sessions) and Online regular Classes |
CERTIFICATIONS
ITT COUNCIL, Delhi is Provided Computer (IT) and Technical Courses Thorough Authorised Training Center (ATC) and Self Study Online Center, Conducted Online Exam of Short Terms Course and Diploma Course after Examination Issue Certificate.
Authorised Training Center In India and out of India
More Info : https://www.ittcouncil.com/
TECHNOLOGIES
Module 1: Fundamentals of GIS & Spatial Analysis
DIGITAL CARTOGRAPHY
Basics of Mapping | Importance of Digital Maps | Map Parameters & Projections | Coordinate Systems & Datum | Map Generalization & Interpretation
GIS DATA & DATA CREATION
Types & Models of GIS Data | Accessing & Creating Data | Evaluating and Exploring Data | Attribute Tables & Statistical Analysis | Error Handling in GIS
SPATIAL ANALYSIS
Solving Spatial Problems using GIS | Geoprocessing & Spatial Data Editing | Suitability Analysis, Urban Growth & Prediction | Resource Mapping & Monitoring
GEOSTATISTICAL ANALYSIS
Geostatistical Analysis | Crime & Neighborhood Analysis | Hotspot & Heat Maps
3D ANALYSIS
DEM-based 3D Analysis | Slope, Aspect & TWI Maps
HYDROLOGICAL ANALYSIS
Watershed Delineation | Morphometric Analysis | Flood Simulation & Hazard Zonation
Module 2: Surveying, Web GIS & Drafting
SURVEYING AND FIELD WORK
Basics of Surveying Techniques | Classical & Modern Surveying Methods | GPS Fundamentals & Applications | Field Data Collection Practices
WEB GIS
Web GIS Concepts & Services (WFS, WMS, etc.) | GeoServer & OGC Protocols | Web Layer Creation & Linking
SPATIAL DATABASE WITH POSTGIS
Introduction to Spatial Databases & SQL | PostGIS & WebGIS Integration | Web Map Creation
2D/3D DRAFTING
Drafting Software Introduction | Data Creation & Conversion in GIS
Module 3: Remote Sensing, Image Processing, Photogrammetry & LIDAR
REMOTE SENSING
Fundamentals of remote sensing & EM spectrum | Optical, thermal, and microwave sensing | Sensors, platforms & satellite systems | Data correction & interpretation techniques
DIGITAL IMAGE PROCESSING
Digital image enhancement & preprocessing | Image classification (supervised, unsupervised, object-based) | Accuracy assessment & change detection | GIS integration & land cover prediction using AI models
DRONE DATA PROCESSING
Introduction to Drone Technology | Data Processing | Image Mosaic | Digitization & 3D model generation
DIGITAL PHOTOGRAMMETRY
Basics of aerial photography & photogrammetry | Working with aerial images & photographic scales | Ortho-photo generation & DEM/DTM creation
LIDAR
Introduction to LIDAR systems (Airborne, Terrestrial, Mobile) | LIDAR data processing, classification & applications | DEM and contour generation from LIDAR data
Module 4: Python & Google Earth Engine in Spatial Analysis
PYTHON FOR GEOSPATIAL SCIENCE
Spatial Data Fundamentals with Python | Vector Analysis using GeoPandas | Raster Basics & NDVI Computation | Interactive Maps with Folium |Workflow Automation & Mini Project
GOOGLE EARTH ENGINE (GEE)
Introduction to GEE platform | Image processing & visualization | Vegetation, water, snow & urban index generation | Land Surface Temperature (LST) analysis | Digital Elevation Model (DEM) & terrain mapping | Land Use Land Cover (LULC) analysis
Module 5: AI/ML & R Programming
AI/ML & DEEP LEARNING IN GIS
Feature extraction from spatial data | Machine Learning with Python | ML in R | Image classification & accuracy assessment
R PROGRAMMING FOR SPATIAL DATA
R Fundamentals & Spatial Data Basics | Vector Data Handling & Visualization | Raster Data Processing & Analysis | Advanced Mapping & Project Application
Module 6: Research Methodology & Applied Projects
RESEARCH METHODOLOGY
Fundamentals of research design & ethics
Techniques for data collection and interpretation
Journal selection & publication ethics
PAPER PUBLICATION
Data preparation and citation styling
Guidance for publishing in Scopus, Web of Science, UGC CARE journals
INTERNSHIP OR RESEARCH WORK
3 Month Internship in GIS Companies or research based project
HANDS-ON PROJECT & STUDIES
Site Suitability & Urban Growth Prediction
Flood Simulation & Land Subsidence Analysis
Crime Mapping & Hotspot Monitoring
Web Mapping & Land Record Database Creation
Data Management with R/Python
Spatial Statistics & Neighbourhood Analysis
3D Terrain Analysis (DEM)
LULC Classification using GEE/ML
Digitization, QC & QA, Network Analysis
Accuracy Assessment & Tech Applications
COURSE CONTENT
Course Curriculum
Module 1: Fundamentals of GIS & Spatial Analysis
DIGITAL CARTOGRAPHY
Basics of Mapping | Importance of Digital Maps | Map Parameters & Projections | Coordinate Systems & Datum | Map Generalization & Interpretation
GIS DATA & DATA CREATION
Types & Models of GIS Data | Accessing & Creating Data | Evaluating and Exploring Data | Attribute Tables & Statistical Analysis | Error Handling in GIS
SPATIAL ANALYSIS
Solving Spatial Problems using GIS | Geoprocessing & Spatial Data Editing | Suitability Analysis, Urban Growth & Prediction | Resource Mapping & Monitoring
GEOSTATISTICAL ANALYSIS
Geostatistical Analysis | Crime & Neighborhood Analysis | Hotspot & Heat Maps
3D ANALYSIS
DEM-based 3D Analysis | Slope, Aspect & TWI Maps
HYDROLOGICAL ANALYSIS
Watershed Delineation | Morphometric Analysis | Flood Simulation & Hazard Zonation
Module 2: Surveying, Web GIS & Drafting
SURVEYING AND FIELD WORK
Basics of Surveying Techniques | Classical & Modern Surveying Methods | GPS Fundamentals & Applications | Field Data Collection Practices
WEB GIS
Web GIS Concepts & Services (WFS, WMS, etc.) | GeoServer & OGC Protocols | Web Layer Creation & Linking
SPATIAL DATABASE WITH POSTGIS
Introduction to Spatial Databases & SQL | PostGIS & WebGIS Integration | Web Map Creation
2D/3D DRAFTING
Drafting Software Introduction | Data Creation & Conversion in GIS
Module 3: Remote Sensing, Image Processing, Photogrammetry & LIDAR
REMOTE SENSING
Fundamentals of remote sensing & EM spectrum | Optical, thermal, and microwave sensing | Sensors, platforms & satellite systems | Data correction & interpretation techniques
DIGITAL IMAGE PROCESSING
Digital image enhancement & preprocessing | Image classification (supervised, unsupervised, object-based) | Accuracy assessment & change detection | GIS integration & land cover prediction using AI models
DRONE DATA PROCESSING
Introduction to Drone Technology | Data Processing | Image Mosaic | Digitization & 3D model generation
DIGITAL PHOTOGRAMMETRY
Basics of aerial photography & photogrammetry | Working with aerial images & photographic scales | Ortho-photo generation & DEM/DTM creation
LIDAR
Introduction to LIDAR systems (Airborne, Terrestrial, Mobile) | LIDAR data processing, classification & applications | DEM and contour generation from LIDAR data
Module 4: Python & Google Earth Engine in Spatial Analysis
PYTHON FOR GEOSPATIAL SCIENCE
Spatial Data Fundamentals with Python | Vector Analysis using GeoPandas | Raster Basics & NDVI Computation | Interactive Maps with Folium |Workflow Automation & Mini Project
GOOGLE EARTH ENGINE (GEE)
Introduction to GEE platform | Image processing & visualization | Vegetation, water, snow & urban index generation | Land Surface Temperature (LST) analysis | Digital Elevation Model (DEM) & terrain mapping | Land Use Land Cover (LULC) analysis
Module 5: AI/ML & R Programming
AI/ML & DEEP LEARNING IN GIS
Feature extraction from spatial data | Machine Learning with Python | ML in R | Image classification & accuracy assessment
R PROGRAMMING FOR SPATIAL DATA
R Fundamentals & Spatial Data Basics | Vector Data Handling & Visualization | Raster Data Processing & Analysis | Advanced Mapping & Project Application
Module 6: Research Methodology & Applied Projects
RESEARCH METHODOLOGY
Fundamentals of research design & ethics
Techniques for data collection and interpretation
Journal selection & publication ethics
PAPER PUBLICATION
Data preparation and citation styling
Guidance for publishing in Scopus, Web of Science, UGC CARE journals
INTERNSHIP OR RESEARCH WORK
3 Month Internship in GIS Companies or research based project
HANDS-ON PROJECT & STUDIES
Site Suitability & Urban Growth Prediction
Flood Simulation & Land Subsidence Analysis
Crime Mapping & Hotspot Monitoring
Web Mapping & Land Record Database Creation
Data Management with R/Python
Spatial Statistics & Neighbourhood Analysis
3D Terrain Analysis (DEM)
LULC Classification using GEE/ML
Digitization, QC & QA, Network Analysis
Accuracy Assessment & Tech Applications
Student Placement Highlights
Our students are now working with leading companies in GIS, Remote Sensing, IT, and Data Analytics. We take pride in transforming learners into professionals through hands-on training and dedicated placement support.
