Drone Technologies

Why choose Drone Technologies at MIET?

MIET’s Drone Technologies program offers a cutting-edge curriculum combining UAV hardware, avionics, embedded systems, and data analytics. Students gain practical skills in drone design, flight systems, computer vision, robotics, and AI for edge devices, along with training in safety, regulations, and entrepreneurship. With real-world projects, simulations, and capstone missions, the program prepares graduates for careers in drone engineering, intelligent aerial systems, and emerging UAV industries.

IoT and Embedded Systems Primer
40 hours | 1 credit
Hands-on with Arduino, MQTT, IoT data flows, and sensor-node design.

Computer Vision with Embedded ML
40 hours | 1 credit
Deploy edge ML vision solutions on low-cost embedded devices.

Motors and Motor Control Circuits
40 hours | 1 credit
Learn motor drivers, control circuits, and microcontroller-based motor operations.

UAS: Safety, Rules, and Ethics
30 hours | 1 credit
Understand UAV safety guidelines, SOPs, compliance, and ethical practices.

Introduction to Drones for Environmental Science
30 hours | 1 credit
Explore UAV-based crop monitoring, terrain mapping, and environmental surveys.

Avionics and Aircraft Systems Fundamentals
30 hours | 1 credit
Basics of drone navigation, IMUs, telemetry, and avionics systems.

Drone Technology & Drones for Environmental Science
90 hours | 3 credits
Hands-on drone systems for environmental monitoring with simulation and practice.

Entrepreneurship Opportunities for Drone Engineers
60 hours | 2 credits
Understand drone startup models, funding, licensing, and business opportunities.

Data Science in UAS
60 hours | 2 credits
Process and analyze UAV-collected data with Python and visualization tools.

Modern Robotics: Foundations + Kinematics
90 hours | 3 credits
Explore rigid-body motion, robot configuration, and kinematics.

Modeling and Feedback Systems
60 hours | 2 credits
Learn system dynamics, transfer functions, and feedback control.

AI for IoT using Edge Devices
60 hours | 2 credits
Deploy AI applications on edge platforms like Jetson Nano.

Modern Robotics: Foundations of Robot Motion
60 hours | 2 credits
Robotic motion planning through mathematical modeling and simulation.

Drone Technology
60 hours | 2 credits
Introduction to flight systems, components, drone categories, and simulation.

Entrepreneurship for Drone Engineers
60 hours | 2 credits
Training in drone regulations, funding, and startup opportunities.

Data Science in UAS
60 hours | 2 credits
Use Python and GIS to process, visualize, and analyze aerial data.

UAS: Safety, Rules, and Ethics
30 hours | 1 credit
Learn UAV airspace rules, compliance, and safety procedures.

Introduction to Drones for Environmental Science
30 hours | 1 credit
UAV applications in agriculture, land surveys, and environmental monitoring.

Avionics & Aircraft Systems Fundamentals
30 hours | 1 credit
Overview of GPS, IMUs, telemetry, and UAV control systems.

- Drone Technology
  60 hours | 2 credits
  In-depth training on UAV hardware, payloads, and flight dynamics.
  Entrepreneurship for Drone Engineers
  60 hours | 2 credits
  Learn UAV business models, market strategies, and regulatory frameworks.
  Data Science in UAS
  60 hours | 2 credits
  Analyze aerial data with machine learning and GIS integration.
  Modeling and Feedback Systems
  60 hours | 2 credits
  Dynamic system modeling with control and feedback loop design.
  AI for IoT using Edge Devices (Jetson Nano)
  60 hours | 2 credits
  Apply AI models on Jetson Nano for real-time UAV edge intelligence.
  Modern Robotics: Foundations of Robot Motion
  60 hours | 2 credits
  Master robotic motion planning with mathematical modeling.
  UAS: Safety, Rules, and Ethics
  30 hours | 1 credit
  Operational compliance with DGCA norms and global UAV ethics.
  Intro to Drones for Environmental Science
  30 hours | 1 credit
  Aerial surveying and environmental UAV applications.
  Avionics & Aircraft Systems Fundamentals
  30 hours | 1 credit
  Drone navigation, telemetry, propulsion, and avionics design.
  Capstone: Intelligent UAV Mission Planning & Execution
  150 hours | 5 credits
  End-to-end project integrating UAV hardware, navigation, control, and analytics.