ICT for Life and Health

ICT for Life and Health

The ICT for Life & Health curriculum is devoted to the study of communication technologies and signal processing tools for the medical ICT field. This entails the transmission and processing of human and biomedical data, the use of modern machine learning and deep learning techniques. 

The study plan is enriched with related courses on biological data and related 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 ICT for Life and Health curriculum for the 2024-2025 academic year is reported below.


The mandatory courses are Networks and Multimedia (composed of Computer Vision and Network Modeling), Optimization Methods for ICT, e-Health, Neural Networks and Deep Learning and Bioelectromagnetism.


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:

Our related subjects:

Mandatory Courses


There are 5 mandatory courses: 

Networks and Multimedia (composed of Computer Vision and Network Modeling), Optimization Methods for ICT, e-Health, Neural Networks and Deep Learningand Bioelectromagnetism.

Computer Vision (Mod. A of Networks and Multimedia)

Network Modeling (Mod. B of Networks and Multimedia)

Optimization Methods for ICT 


Neural Networks and Deep Learning

Bio Electromagnetism

Core Subjects

Select 4 courses from the following list

3D Vision and eXtended Reality

Advanced Multimedia Systems

Advanced Network Analysis


Digital and Interactive Multimedia

Digital Forensics and Biometrics

Digital Signal Processing

Game Theory

Internet of Things and Smart Cities

Machine Learning 

Machine Learning for Human Data

Multimedia Coding

Multimedia Communications 

Network Science

Secure Digital Healthcare

Stochastic Processes

Related Subjects

Select 2 courses from the following list

Life Data Epidemiology

Foundations of Databases

Computational Genomics

Natural Language Processing


Physical Models of Living Systems

Sports Engineering and Rehabilitation Devices

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.


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.
Recognized certifications

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.

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