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The School of Applied IoT, Robotics/Drone and Space Systems Engineering (SAIRSE) works to future directions of optimization methods with various engineering and science fundamentals used in robotics and drone-based applications. Courses here covers controlling of sensors and actuators in the internet of things (IoT), internet-of-robotics-things (IoRT) with a challenge of processing or routing in Ad-hoc networks. SAIRSE developed applied courses on aerial robotic systems using IoT and Space Systems which are leading developer of industrial-grade embedded computing design, I/O electronics and IoT (Internet of Things) solutions for aerospace, defense and robotics applications. Besides, courses sharply lead to embedded engineering solutions for aerospace and aeronautical problems. In the current job market, the amount of data a software engineer works with varies with the size of the organization. The greater the industry, the more complex is its analytics architecture, and the more data the engineer will be responsible for optimal solutions. Certain industry clusters are more data-intensive, including healthcare, e-commerce, and financial services. Future Data engineers in SADWE will lead to play role in conjugation with data science teams, improving data transparency, building web as a distributed system and more trustworthy business decisions.

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Applied Space Systems and Robotics Engineering

Applied Space Systems and Robotics Engineering

The course is aimed at developing the relevant knowledge and skills needed to apply space systems and Robotics engineering tools and techniques within a project environment to produce effective space systems. Courses are offered in major categories: Design, Realization, and Space Systems & Robotics Engineering Management. A detailed end-to-end space system case study is used to translate theory to practice by illustrating detailed how-to examples for achieving and establishing each major technical baseline throughout the mission lifecycle.  Learn the fundamentals of space systems engineering and robotics, including the design, development, and implementation of satellite systems, space missions, and robotic systems for various applications.

OUTCOME: With this course, students will be able to-

  1. Define key systems engineering terms
  2. Explain fundamental systems engineering principles
  3. Apply systems engineering tools and techniques to solve specific design, manage, and realization challenges
  4. Develop Robotics systems engineering artifacts for a given scenario that captures and communicates design, systems management, and system realization decisions

Duration: 24 months

Cost:  ₦ 4,000,000.

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Applied Internet of Things (IoT) Engineering

Applied Internet of Things (IoT) Engineering

This course will provide beginners with an accelerated path to gain the knowledge necessary to thrive in a world transformed by IoT innovations. Gain expertise in IoT concepts and technologies, including sensors, actuators, communication protocols, and platforms, to develop and deploy IoT solutions for various industries.

Students will start their journey by understanding the fundamentals of IoT with Drone engineering that will teach them the essentials of building Arm-based IoT applications.

OUTCOME: With this course, students will be able to-

  1. How to implement a program to control peripherals on a microcontroller
  2. develop a program to read values from on-board sensors
  3. implement a program that sends on-board sensor values via BLE to a BLE scanner mobile app
  4. Apply and implement a program to send sensor values from a device to a cloud database using WiFi – displaying the data in a webpage and a simple Android app

Duration: 24 months

Cost:  ₦ 3,500,000.

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Applied Drone and Edge Computing Engineering

Applied Drone and Edge Computing Engineering

The Drone and Edge Computing Engineering course offers an accelerated learning experience for beginners to acquire essential skills in designing, developing, and deploying drone systems and edge computing solutions. The course covers drone technology principles, such as aerodynamics, flight control, communication, and navigation, and explores various applications like aerial photography, mapping, and remote sensing. Students will also learn about edge computing concepts, including its architecture, components, and benefits, as well as its integration with Drone and networks. This comprehensive course equips students with the knowledge to excel in the rapidly evolving world of drone and edge computing innovations.

OUTCOME: With this course, students will be able to- Throughout the course, students will gain hands-on experience with drone programming, operation, and maintenance, as well as the development and deployment of edge computing solutions for various industries. By the end of the course, students will have a solid understanding of the potential of drone and edge computing technologies, enabling them to create innovative solutions for a wide range of applications.

Duration: 24 months

Cost:  ₦ 4,000,000.

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