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PG Diploma In Geoinformatics (PG-DGi) - NSQF level: 8

Geoinformatics or Geomatics is the synergy of multiple disciplines, namely, GIS, remote sensing, photogrammetry, cartography, GPS and geodesy. It is fundamental to all the disciplines that use data identified by their locations. PG-DGi aims to provide conceptual knowledge on GIS, remote sensing and related fields, and hands-on training in GIS, satellite data interpretation, digital image processing, digital photogrammetry, digital cartography and GPS. There are also three electives, i.e., GIS Development, RDBMS and Geomatics Business & Project Management. Application of Geoinformatics in various development contexts are analysed through appropriate case studies. The course contents have been designed keeping in view the emerging trends in the field of Geoinformatics and the increasing needs of skilled manpower.

The educational eligibility criteria for PG-DGI course is
  • Graduate in Engineering (10+2+4 or 10+3+3 years) in IT / Computer Science / Electronics / Telecommunications / Electrical / Instrumentation, OR
  • MSc/MS (10+2+3+2 years) in Computer Science, IT, Electronics with Mathematics in 10+2, OR
  • 4-year Degree in Geosciences / Petroleum / Mining / Civil/ Planning / Architecture / Forestry / Agriculture, or related fields, OR

  • Post Graduate Degree in Geography / Geology / Natural & Applied Sciences / Mathematics, or allied areas.

  • The candidates must have secured a minimum of 50% marks in their qualifying examination

PG-DGI course will be delivered in fully ONLINE mode. The total course fee and payment details are as detailed herein below:

The total course fee is INR. 76,500/- plus Goods and Service Tax (GST) as applicable by Government of India (GOI).

The course fees for has to be paid in two installments as per the schedule.

  • First installment is INR. 10,000/- plus Goods and Service Tax (GST) as applicable by GOI.
  • Second installment is INR. 66,500/- plus Goods and Service Tax (GST) as applicable by GOI.

The course fee includes expenses towards delivering classes, conducting examinations, final mark-list and certificate, and placement assistance provided.

The first installment course fee of Rs 10,000/- + GST on it as applicable at the time of payment is to be paid online as per the schedule. It can be paid using credit/debit cards through the payment gateway. The first installment of the course fees is to be paid after seat is allocated during counseling rounds.

The second installment of the course fees is to be paid before the course commencement through NEFT.

NOTE: Candidates may take note that no Demand Draft (DD) or cheque or cash will be accepted at any C-DAC training centre towards payment of any installment of course fees.


Introduction to Digital cartography, Map Projections, Map projections transformation, Introduction to Geoinformatics, Geographic Data Quality & Structure, Data Uncertainty of Geo-spatial Data, Elements of GIS Data, Geographic Data Acquisition, Analogue to digital conversion, Manipulation of Spatial Data –Vector Data, Manipulation of Spatial Data –Raster Data, Thematic map Preparation, Open Source GIS, Global Positioning Systems, Introduction to surveying, Introduction to GPS, Types of Errors, Basic Statistical concepts, Global GPS programmes and India’s Contribution, GIS and GPS: Present status and future scenario


Post GIS

Introduction to PostGIS, Spatial Objects for PostgreSQL, Simple spatial SQL, Viewing data in PostGIS, Creating spatial Indexes, Spatial analysis in SQL, Distance Queries, Spatial Joins 

Google API

Introduction to Google map API, Mapping Fundamentals, Creating first map Application, Use of Marker icons and Info Windows, Geocoding, Google API and KML

Desktop GIS Customization

Q-GIS: Introduction to the QT and QGIS Classes, Customization of Quantum GIS using Python, How to create a python plugin for QGIS, The python syntax (indentation, colon, ...), My first python plugin: display a message box, The main QGIS API classes and their relations, Constants and settings: QGis and QgsApplication classes, Plugin interface: Q-GIS Interface and common methods used in plugins

Arc-GIS: Introduction to Arcpy and Python window, Working with Map Layers, Create a search cursor using list of string fields in python, Create a search cursor using an SQL expression in python

Web GIS (ARCGIS Server / GeoServer)

An Introduction to Geoserver, Anatomy of a Geoserver Application, Styling, Feature Map Layer, Geoserver User Interface, Non-Spatial Query, Web Mapping, Web Services and GIS, Different Kinds of Web Mapping, Working with Geoserver, Building Geoserver, Developing applications using Geoserver, Creating Mapping Application Using HTML, Java Script and Geoserver, Connecting Geoserver with spatial database, Fetching and displaying layers on QGIS from Geoserver.



Introduction to DBMS, Types of DBMS: Introduction to Hierarchical Model, Network and Relational Models, Object Oriented Database, Data models (conceptual physical and logical), DDL Commands

Data Integrity & integrity rules, DML Commands: Select/Insert/Update/Delete, DCL Commands: Rollback, Commit, savepoint. Number Functions: -Single Value Functions: NVL,ABS,CEIL etc,

 Group Value Functions: AVG,COUNT,MAX etc Grouping Things Together (Group By, Having Clause) ,Joining, Introduction to PL/SQL,  Exceptions,  Cursors ,Procedures, Functions, Triggers,  Packages, Indexes , Clusters, Snapshots, Creating Database, Users, Roles & Privileges, Import & Export 


JVM Architecture ,Setting a Class Path , Simple Program in Java (Compile & Run) , Data Types & Identifiers , Operators Conditional Statements , Array & Looping (Mix concepts) , Classes & Objects , Access Modifiers (Private, Public, Protected, Default) , Inheritance (IS A, HAS A) , Polymorphism (Overloading & Overriding) (Super & This Keyword). , Packages & Imports , Visibility of Access Modifiers , Final with Variable, Classes & Methods , Static , Abstract & Interface , Passing an object in Argument , Inner Classes & Wrapper Class , Collections , Exception Handling , Threading , I/O Classes , Applet , JDBC overview through ODBC. 

Advance java

Web Architecture, Introduction to JSP, Life cycle of JSP, JSP API, JSP in Eclipse and other IDE's , RMI , Servlets , Session Management.

Java Script

JavaScript Introduction, Variable declaration, Operators, Control Statements, Understanding arrays, Function Declaration, Working with Objects, Inheritance in JavaScript using prototype, Working with HTML form and its elements, JavaScript Events, JavaScript strings, JavaScript Numbers & JavaScript Date.

Web Technology

Architecture of the Web, HTML programming, DHTML , CSS, The Purpose and Nature of XML, XML Syntax and Structure rules, XML Document Type Declaration, XML and Data Binding, XML linking mechanisms, XML style language, Web Application Development


Introduction to R Syntax, Introduction & Installation of R, R Basics, Finding Help, Code Editors for R, Command Packages, Manipulating and Processing Data in R, Reading and Getting Data into R, Exporting Data from R, Data Objects - Data Types

· Statistics

Descriptive statistics and Sampling Techniques, Median, Mode, Standard deviation, variance, Probability, Frequency distribution, Covariance and Correlation, Regression: Linear & Multivariate, Covariance & Correlation in multivariate data, Probability, Basic Components of Geo-Statistics, Spatial Continuity-Variogram Modeling, Geographically Weighted Regression (GWR), Spatial estimation (Interpolation Techniques), Nongeostatistical (Deterministic) Estimation, Global Estimation, Local Estimation, Geo-statistical (Probabilistic) Estimation, Simple Kriging, Universal Kriging, Mapping & Geo-Visualization With R

· Spatial Analysis

Introduction to spatial analysis, Various mathematical and logical operations, Vector analysis, Various Techniques of Statistical analysis, Overlay Analysis, Purpose of overlay analysis, Various overlay analysis techniques, Geoprocessing, Multi Criteria Analysis and Analytical Hierarchy Process (AHP), Raster analysis (Local, Zonal and Global operations), Interpolation techniques, Surface Mapping, Introduction to Network Analysis, Site Suitability Analysis.





Introduction to Remote Sensing, Overview and concept of remote sensing, Components of a Remote Sensing System, Application areas of Remote Sensing, Energy sources & radiation principles, Electromagnetic radiation, Energy interactions in atmosphere, Energy interactions with earth surface features, Spectral response patterns of common earth surface features, Remote sensing data acquisition & platforms, Satellites and satellite orbits, Image resolutions, Data Recording Technology, Across track and Along track scanning

Image Interpretation, Colour Fundamentals & False color composites, Satellites and Sensors, Major earth observation satellite programmes, Current Satellites & sensors

Thermal Remote Sensing, Microwave remote sensing & Hyperspectral Remote Sensing


Introduction to Digital Image processing, Digital image fundamentals, Image processing fundamentals, Image Processing system Considerations, Image Statistics, Remote sensing data products and formats, Remote sensing data products, Image formats: BIP, BIL and BSQ, Image Rectification & Restoration - Geometric correction, Radiometric correction, Noise removal, Image enhancement - Contrast Manipulation, Contrast stretching, Spatial feature manipulation, Edge enhancement, Multi image manipulation (Image transformation), Spectral ratioing - Vegetation indices, Principal component analysis, Image classification, Unsupervised classification, Supervised Classification, Post classification steps, Change Detection, Introduction to AI & ML (Using ARCGIS Pro inbuilt tool without coding)

After completion of course students will be able to acquire the following skills:
  • Comprehend fundamental concepts and practices of Geographic Information Systems (GIS) and advances in Geospatial Information Science and Technology (GIS&T). 
  • Effectively communicate and present protect results in oral, written, and graphic forms.
  • Attain a foundational knowledge and comprehension of the physical, computational, and perceptual basis for remote sensing.
  • Gain familiarity with a variety of physical, biological, and human geographic applications of remote sensing.
  • Apply principles and techniques of digital image processing in applications related to digital imaging system design and analysis. 
  • Analyze and implement image processing algorithms. 
  • Gain hands-on experience in using software tools for processing digital images.
  • Prepare, manipulate, display and analyse environmental spatial data
  • Hands on Geostatistics with R.
  • Have used and be comfortable with online resources that support geo computing and programming in the GIS profession.

C-DACs - Advanced Computing Training School
B-30, Sector 62, Institutional Area, Noida
Uttar Pradesh 201307
9711770748, 0120-2210800, Ext 92
Contact Person
Mr. Ravi Payal

Q. What is the Eligibility for PG-Diploma in GeoInformatics?

A: The eligibility Criteria for PG-DGi course is candidate holding any one of the following degrees:

  • Graduate in Engineering (10+2+4 or 10+3+3 years) in IT / Computer Science / Electronics / Telecommunications / Electrical / Instrumentation, OR
  • MSc/MS (10+2+3+2 years) in Computer Science, IT, Electronics, OR
  • 4-year Degree in Geosciences / Petroleum / Mining / Civil/ Planning / Architecture / Forestry / Agriculture, or related fields, OR
  • Post Graduate Degree in Geography / Geology / Natural & Applied Sciences / Mathematics, or allied areas.

The candidates must have secured a minimum of 50% marks in their qualifying examination


Q: What is the selection criterion?

A: The selection process consists of a C-DAC Common Admission Test (C-CAT).

Q: What is Fee of course? 

A: The fees for the PG-DGi course delivered in online mode is INR. 76,500/- (Rupees Seventy Six Thousand and Five hundred only) plus GST as applicable.

Q: When the course does commence?

A: Twice in a year in the month of September and March. Admission Process will start in month of July and December every year.

Q: Duration of the course?

A: The course duration is 26 weeks approximately full-time course with 900 hours of Theory +Practical + Project Work

Q: Infrastructure Facilities available?

A: Fully equipped classrooms capacity to accommodate students and state-of-art labs to explore you computing skills

Q: Hostel & Canteen facility available?

A: Accommodation for out station candidates is facilitated by some of centres. Please refer Admission Booklet.

 Q: Bank loan assistance for the other centres?

A: Facility of educational loans is provided for the selected candidates, which is available at all nationalized banks.

Q. What is the medium of instruction for PG Diploma Courses? A. The medium of instruction for the PG Diploma Courses is English.

Q: Revision of the course contents, is it every six months?

A: The course contents are revised according to the real world needs and when found relevant to the market demands.

Q: Do you have centralized placement cell?

A: Yes we do have a centralized placement programme where the respective centers actively coordinate the task of organizing the campus interviews for all the students.

 Q: What is the value of the course in the international market?

A: The course has been a trend-setting course due to its unique curriculum and the opportunities that it generates; hence it gives the edge over above for the students and gives a international edge.