ICT for Internet and multimedia University of Padua

Overview

Focusing on devices, networks, transmission channels (wireless, optical channels and photonics), signals, as well as cross-disciplinary issues (big data, machine learning and artificial intelligence, mathematical optimization), the programme offers strong theoretical courses, plenty of laboratory classes and applied research-oriented teaching towards advanced technologies for future society.

Career opportunities

Graduates work as experts in the analysis, design, planning and management of complex ICT systems and their applications; network and telecommunication system operators; manufacturers in the ICT sector and defence; management and development of ICT applications and services; system integrators and ICT consulting firms; regulatory bodies, standardisation bodies, and certification bodies; research and development centres, and Academia; software houses; engineering consultants; networked multimedia services (business and entertainment). Graduates can also find occupations in a broad range of sectors dealing with multimedia signals, data analysis and artificial intelligence. For example, in the design of ICT systems for the analysis and transmission of audio/video signals, virtual/extended reality applications, but also as data analysts or machine learning developers with applications to ICT systems and networks (WiFi / mobile / satellite networks, Internet of Things, etc.

Programme structure

Communication Technologies: Explores the core ICT subjects (digital transmission, signal processing, electromagnetism) in full depth.

Cybersystems: Focuses on networking technologies, encompassing the Internet, its protocols, and theoretical models of networked and wireless systems. It also covers databases and web applications.

Multimedia: Devoted to the study of multimedia signals and systems, including their transmission over the Internet.

ICT for Life and Health: Devoted to studying communication technologies and signal-processing tools for the medical field

Research and Innovation: Designed to provide the student with a solid theoretical background encompassing electromagnetism, signals, wireless/transmission systems, computer vision, learning and optimization theory.