Learn by doing

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.

Tuition Payment Options

Study Now, Pay Later

We’ve got the friendliest payment method ever! At NVIT, you can begin your program without making any payments. Thanks to our Study Now, Pay Later Model, you can start paying your tuition after graduation and landing a good job. The NVIT Study Now Pay Later Agreement (SNPL) is a contractual agreement in which a learner receives training funding in exchange for repayment of the amount over time. There is a first-come, first-served policy due to high demand for the SNPL program, which is only available to graduates from any of the three-to-four-month Cohort. This comes with an additional 20% tuition charge.

Prepayment

A 15% discount is available if you prepay the entire tuition fee at the start of your course.

Monthly Payment

This option divides your tuition into monthly installments which you can pay each month as you progress through the course, but there is an initial payment of 30% of tuition.

Applied Space Systems & Robotics Engineering

Applied Space Systems & 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.

 

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: 36 weeks

Cost:  ₦ 1,900,000.

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Applied Internet of Things (IoT)/Drone and edge computing  Engineering

Applied Internet of Things (IoT)/Drone and edge computing Engineering

This course will provide beginners with an accelerated path to gain the knowledge necessary to thrive in a world transformed by innovations in IoT, 5G, Drone, and edge computing.

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,5G, Drone, and edge computing 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: 36 weeks

Cost:  ₦ 1,900,000.

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