Artificial Intelligence
The Artificial Intelligence curriculum explores the synergy between AI, communications, and multimedia. This focus integrates deep machine learning foundations with advanced expertise in designing next-generation network and communication systems.
How does the study plan work?
A list of the courses available in the “Artificial Intelligence” track for the 2026-2027 academic year is reported below.
There are seven mandatory courses: Foundations of Artificial Intelligence, Machine Learning, Deep Learning, Reinforcement Learning, Stochastic Processes, Multimedia Communications, and Digital Communications. The other courses are chosen among the Core and Related Subjects according to the rules below.
Furthermore, a soft skill course must be selected, and students must pass the B2 English exam.
More detailed information about the course syllabi and other specifics can be found on the institutional Unipd website.
Mandatory Subjects
There are 7 mandatory subjects
Foundations of Artificial Intelligence
Machine Learning
Deep Learning
Reinforcement Learning
Stochastic Processes
Multimedia Communications
Digital Communications
Core Subjects
Select 2 courses from the following list
Wireless Networks
Computer Vision
Network Modeling
Select 1 course from the following list
3D Vision and Extended Reality
Adversarial Machine Learning
Digital Forensics and Biometrics
Machine Learning for Human Data
Network Science
Information Security
Related Subjects
Select 1 course from the following list
Optimization for Data Science
Natural Language Processing
Optimization Methods for ICT
Soft Skills
Select 1 course from the following list
Public Speaking Lab
The lab aims to help students improve their oral communication through the study and practice of the elements contributing to successful communication.
The focus is on raising the students' awareness on the importance of verbal and non verbal language in interactions to make communication more effective.
The students will learn the meanings of body language and paralanguage (voice intonation, volume, etc), how they are used in different types of interactions (one-to-one, one-to-many, computer-mediated, etc.), and will have to apply them in a number of assigned tasks.
The lab requires the students' active participation in all class activities, aimed at applying the communication strategies learned.
Project Management
This course will provide the foundations of the project management.
Traditional (such as the Project Management Institute approach) as well as more advanced techniques - such as the Agile Methodology - will be reviewed. Special focus will be put on the methodologies more suited for the ICT environment.
Fully elective credits
Select 2 courses (12 ECTs) from this Master’s offer or any other one of the University of Padua, on condition that they be relevant for the ICT scientific area.
Internship/Project
These are mandatory activities
English language B2
Students must certify that they have a proficiency level "English B2" according to the CEFR scheme. To this end, students can:
- Submit a certificate issued by a recognized external certification agency;
- Take an internal test at the University of Padova Language Centre (CLA) to verify that they can interact with a degree of fluency and spontaneity that makes regular interaction with native speakers quite possible without strain for either party.
Final project
Students are asked to carry out a substantial individual project in their final year. The project can be carried out either at the University of Padova (30 ECTS combining a 21 ECTS Final Project and a 9 ECTS Report), or in an external institution, such as an Industry or a Research Center, either national or international (30 ECTS combining a 21 ECTS Final Project and a 9 ECTS Internship). It is also possible to do the internship in an external institution, and the final project at the University, though we suggest to carry out the whole work in a single place.
Find out more about the other curricula
