University of Antwerp

Master of Electronics and ICT Engineering Technology (M.Sc.)

In this Master’s programme you choose between 3 majors:

• 1 Distributed Artificial Intelligence
• 2 Internet of Things
• 3 Cyber-Physical Systems

In each major, 60% of your time will be invested in practical engineering.

Major 1: Artificial Intelligence

This major gives you the knowledge, skills and competences to design and research new Distributed Artificial Intelligence technology by combining informatics, communication and electronics with new state-of-the-art machine learning methodologies. Distributed machine learning is the discipline where new intelligence is created by combining the strengths of different distributed intelligent devices and components. The main idea is to rely on the emergent that originates from the various devices and components working together in an intelligent way. It does not focus on computationally intensive, centralised Artificial Intelligence (AI) solutions, but on decentralised interaction of intelligent components to achieve an equal or better result with lower latencies, lower energy consumption and lower computational complexity.

Major 2: Internet of Things

This major will give you knowledge, skills and competences to design and research new Internet of Things (IoT) solutions by combining informatics, communication and electronics with new state-of-the art machine learning methodologies. IoT is the art of bringing together data from large sets of distributed heterogeneous embedded sensors. The main complexity of this process lies in the resource constraints. Huge quantities of data have to be sensed and communicated in an environment where resources like energy and computational power are limited. The core of this programme focusses on engineering these high complexity sensor networks, taking into account the constraints, and choosing or designing the right communication, hardware and software solutions.

Major 3: Cyber-Physical Systems

This major will give you the knowledge, skills and competences to design and research new Cyber-Physical Systems (CPS) by combining informatics, communication, signal processing, sensing and electronics with new state-of-the-art (CPS) model-driven engineering and control technologies. Cyber-Physical Systems are systems where the sensors, control and computational properties are optimally adapted to the mechanical and functional requirements of the system at hand. In the fast-evolving world of digital innovation the main focus lies on the optimal integration of the individual parts of CPS to achieve certain performance constraints. The core component of this programme is solving functional, safety and timing constraints, while considering the physical and mechanical problems of both sensors and actuators, using a model-driven approach.