The Master in Artificial Intelligence and Automation Engineering gives students strong scientific and technological background on complex engineering problems with emphasis on advanced topics in Artificial Intelligence, Machine Learning, Robotics, and Automation Engineering.

This program aims at providing graduates with sound engineering skills to design, to develop, to implement and to manage automation systems for manufacturing plants, industrial processes, mechatronic devices, distribution networks and environmental systems.

The Master's Degree in Automation Engineering provides participating students with advanced competencies in many important fields of Automation, Such as Robust Control, System Theory, Software for Real-Time Control, Vision Systems, Mechanical Systems, Design of Advanced Automatic Machines, Diagnostic Systems along with up-to-date contents in Mechatronics and Robotics.

This Science and Technology of Bio and Nanomaterials master’s degree at Ca' Foscari University of Venice provides you with the multi-disciplinary training in material science, chemistry and biology that will allow you to become an expert in the design and synthesis of new bio- and nanomaterials.

Our MSc. A degree in Materials Science and Nanotechnology offers a multiple-view approach to tackling new tasks for research and technology innovation, with a focus on sustainability. We strive to create individuals who can provide innovative solutions to complex challenges facing the world today.

The master’s program provides high-level education to graduate students with a Bachelor in Electrical Engineering or scientific disciplines.

Although micro and nanotechnologies have developed over a still relatively short period, they are universally recognized as being able to ensure a significant potential future impact on all scientific and technological disciplines as well as on industrial and agri-food manufacturing processes.

Objective of the program is to prepare a professional figure expert in materials and in the design of processes and manufactured goods. Different specialisations are available: Surface Engineering, Polymer Engineering, Nanomaterials and Nanotechnology, Engineering Applications, Micromechanical Engineering

From self-driving cars to robotic assistants, the Internet of Things, and AI-based software solutions – the future is autonomous. With the Autonomous Systems master's programme, you will acquire the skills and knowledge to drive the transition to autonomous systems.

Master's degree in Computer Engineering for Robotics and Smart Industry. The Master's degree in Computer Engineering for Robotics and Smart Industry provides students with knowledge and skills typical of information engineering enabling them to identify, formulate, analyze, and solve problems related to the design, integration, and management of industrial production systems. The course aims to train graduates with advanced skills in strategic and innovative sectors, such as industrial robotics, cyber-physical systems, information processing of large amounts of data, and digital manufacturing.

The course will focus on the relationship among processing, properties, and structure of all materials of industrial interest, i.e. metals, polymers, ceramics, composites, biomaterials, and semiconductors. Nanomaterials and their applications in electronic and other fields are also objects of the courses.

The curriculum in Autonomous Driving Engineering (ADE) is part of the Master’s Degree Course in Electronic Engineering for Intelligent Vehicles (EEIV). This curriculum is designed for students who want to become electronic engineers with a solid knowledge of the methods and tools used in the development of intelligent transportation systems.

Robotics Engineering is the local track of the Emaro+ double degree international Master. Emaro+ students attend each year in a different European university; local students attend at UNIGE the whole single degree. The track, totally in English, has a structure compliant with international standards: continuous assessment, few exam sessions, laboratory activity, one full semester thesis. Students mobility abroad, as well as achieving a degree in two years are encouraged.

The aim of the Master in Artificial Intelligence and Robotics is to offer students the ability to interact with professional workers in Computer Science, Artificial Intelligence, Robotics, Mechanical, Electronics, and Control Engineering and with professional users of the involved application areas such as the ones which need the representation and the use of knowledge or sensorial information, automatic machine learning, real-time planning, industrial robotics and services, video and pictures detection and simulation and human-computer interaction.

The Master of Science Degree in Nanotechnology Engineering is aimed at providing students with an advanced scientific and professional education meant to prepare them to access the international job market of Nanotechnologies. To reach this goal, courses are entirely taught in English.