University of Trento Master in Information Engineering
University of Trento

University of Trento

Master in Information Engineering

Trento, Italy

MSc

2 years

English

Full time

Sep 2026

EUR 6,500 / per year **

On-Campus

* for non-EU citizens living outside Italy | for EU citizens and non-EU citizens regularly living in Italy: rolling admission from June to November 2026

** EU 340€-3400€ - fee range based on personal income and merit; non-EU: 1000€-6500€ - fee range based on merit only, i.e. score in the application evaluation

Key Summary

About: The Master of Science in Information Engineering at The University of Trento combines theory and practical lab work in telecommunications and electronic engineering. The standard programme lasts two years and offers four curricula: Communications, Computer, Electronic, and Biomedical Engineering. Erasmus mobility of 3 to 12 months is available with no extra fees. A training period in industry or research completes the degree.

Career Outcomes: Graduates qualify for roles such as Business Information Manager, Systems Analyst and Architect, Developer, ICT Security Manager. They work in network design, signal processing, embedded systems, AI, biomedical data analysis, progress to ICT PhD programmes.

The Master of Science in Information Engineering (Laurea Magistrale in Ingegneria dell'Informazione) is intended to provide graduate students with advanced skills in the field of telecommunications and electronic engineering.

The specialist graduates will gain a deep understanding of the most recent technologies, tools, systems and infrastructures for telecommunication applications. The studying process will be combined with practical laboratory sessions in order to provide students with both practical and theoretical skills.

The standard Master’s program lasts two years and includes courses on fundamentals of telecommunications as well as advanced specialization courses chosen by the student.

Every year, in March, the Teaching Committee approves the Manifesto Studiorum, which contains the course program of the following academic year. This includes the list of courses available, their respective syllabuses, types of examination, educational material and administrative information. Thanks to the Erasmus international mobility program, the study plan can contain courses and exams taken in other top European universities. Participation in this program includes no additional fees. The period abroad can last from three to twelve months. Other opportunities for international mobility are also possible.

At the end of the Master’s program, students will be required to have a training period in a company or in a research laboratory.

Students with multiple University-level qualifications in Electronics, Information Engineering, Telecommunications Engineering, or closely related disciplines could have a certain number of examinations recognized from previous studies in their individual study plans. The examination recognition will depend on the educational background of the student and will be performed only after the official enrolment for the Department of Information Engineering and Computer Science (DISI).

Program Overview

The Master of Science in Information Engineering aims to train professionals to produce and manage technological innovation and fulfill high-profile technical and/or managerial roles in contexts that require in-depth knowledge of Information Engineering disciplines, focusing on specific aspects of Telecommunications Engineering.

The academic offer is organized into four curricula with different specialization areas:

  1. “Communications Engineering” aimed at achieving a high degree of specialization in the design of telecommunications systems;
  2. “Computer Engineering” for the conception and design of artificial intelligence and distributed information systems;
  3. “Electronic Engineering” aimed at the development of electronic systems for the acquisition of signals and advanced computing architectures;
  4. “Biomedical Engineering” for the acquisition, processing and automatic analysis of biomedical signals and data.