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Postgraduate Certificate in Satellite Engineering & Remote Sensing (PGC–SERS)

Duration: 1Yr / 40 Weeks / 220 Hrs

To provide a comprehensive foundation and hands-on experience in Geospatial Technology, focusing on GIS, remote sensing, mapping techniques, and web-based spatial tools, with real-world applications in urban planning, agriculture, disaster management, and infrastructure development.

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Registration Fees

₹ 1500

non-refundable

Course Fees

₹ 155000.00

Batch Start

1 Aug, 2025

Duration

1Yr / 40 Weeks / 220 Hrs

Program Structure

Eligibility: Graduates in engineering, geography, environmental science, planning, or related fields

Duration: 1Yr / 40 Weeks / 220 Hrs

Batch Start Date: 1 Aug, 2025

Courses and Certification Conduct Policy:

Program Structure:

Module 1: Fundamentals of Space Systems

Introduction to Space Missionsy
Role of Satellites in Communication, Earth Observation, and Science
Space Environment and System Constraints
International Space Agencies & Ecosystem

Module 2: Orbital Mechanics & Satellite Orbits

Kepler’s Laws, Newtonian Mechanics
Orbital Elements and Calculations
GOrbital Transfers and Maneuvers
Types of Satellite Orbits: LEO, MEO, GEO, HEO, SSO
CubeSats and Small Satellite Configurations

Module 3: Launch Systems & Mission Planning

Launch Vehicles: PSLV, GSLV, Falcon 9, Ariane
Launch Phases & Trajectories
Mission Design and Lifecycle
Risk, Reliability, and Redundancy
Space Debris and Collision Avoidance

Module 4: Ground Segment Operations

TT&C Systems (Telemetry, Tracking & Command)
Satellite Control Centers
Data Reception and Distribution
Uplink and Downlink Systems
Antennas, Transceivers, Ground Station Architecture

Module 5: Satellite Systems Engineering

Satellite Bus Architecture
Structure & Configuration
ADCS (Attitude Determination and Control System)
Power System Design (Solar Arrays, Batteries)
Thermal Management Techniques
Onboard Data Handling and Communications Systems

Module 6: Remote Sensing Instruments & Technologies

Introduction to Remote Sensing Principles
SAR (Synthetic Aperture Radar)
Optical Sensors (Multispectral, Panchromatic)
Hyperspectral & Ultraspectral Imaging
Sensor Calibration & Performance Metrics
Application Areas: Agriculture, Urban, Forestry, Disaster Management

Module 7: Payload Design & Subsystem Integration

Payload Requirement Analysis
Sensor Mounting & Isolation
Data Interfaces and Integration
Thermal & Power Considerations
Assembly, Integration, and Testing (AIT) Basics

Module 8: Tools & Software

STK (Systems Tool Kit) for Orbit Simulation
SNAP / QGIS for Remote Sensing Data Processing
MATLAB & Simulink for Payload Design
Introduction to ESA and NASA Toolkits

Module 9: Project

Designing a CubeSat mission
Remote sensing data analysis for land cover classification
Simulating ground station and satellite communication
Payload design for an imaging satellite

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