Multimedia
The Multimedia curriculum is devoted to the study of multimedia signals and systems, including their transmission over the Internet.
Theory-oriented courses lay the foundations of signals from source coding to their processing, lab-oriented courses are also available to provide hands-on experience. The study path is enriched with courses on machine/deep and reinforcement learning, cybersecurity/digital forensics, databases and Web applications.
Five mandatory courses serve to lay the theoretical and technical foundations. Then, the study path can be shaped according to the student’s interests (subject to the rules here below).
How does the study plan work?
A list of the courses available in the Multimedia curriculum for the 2024-2025 academic year is reported below.
The mandatory courses are Networks and Multimedia (composed of Computer Vision and Network Modeling), Digital Communications, Optimization Methods for ICT, Neural Networks and Deep Learning and 3D Vision and eXtended Reality.
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
Our core subjects:
- Signal processing & machine learning;
- Multimedia signals;
- Networks;
Our related subjects:
- Computer science;
- Math/optimization;
- Web technologies;
- Soft skills
Mandatory Courses
There are 5 mandatory subjects:
Networks and Multimedia (composed of Computer Vision and Network Modeling), Digital Communications, Optimization Methods for ICT, Neural Networks and Deep Learning and 3D Vision and eXtended Reality.
Computer Vision (Mod. A of Networks and Multimedia)
Network Modeling (Mod. B of Networks and Multimedia)
Digital Communications
Optimization Methods for ICT
Neural Networks and Deep Learning
3D Vision and eXtended Reality
Core Subjects
Select 4 courses from the following list
Advanced Multimedia Systems
Adversarial Machine Learning
Digital and Interactive Multimedia
Digital Forensics and Biometrics
Digital Signal Processing
Information Security
Internet of Things and Smart Cities
Machine Learning
Machine Learning for Human Data
Multimedia Coding
Multimedia Communications
Network Science
Photonics and Remote Sensing
Stochastic Processes
Wireless Networks
Related Subjects
Select 2 courses from the following list
Big Data Computing
Computer Engineering for Music and Multimedia
Cryptography
Foundations of Databases
Natural Language Processing
Reinforcement Learning
Web Applications
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.
Public values in media and ICT
More details will be available soon.
Fully elective credits
Select two 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
