Study location	Italy, Padua
Type	Master's degree, full-time
Nominal duration	2 years (120 ECTS)
Study language	English
Awards	(Master of Science in Computer Engineering)
Course code	IN2547/001PD/2020

Tuition fee	€2,739 per year For further information please visit: www.unipd.it/en/tuition-fees
Application fee	€30 one-time This fee is non-refundable.
Deposit	€204 one-time In order to accept your place at the University of Padua, the payment of the admission fee is required. This fee is non-refundable.

Entry qualification

Bachelor diploma (or equivalent) A minimum three-year undergraduate degree (or equivalent) in Engineering or related fields (e.g. Mathematics) is required, with proven skills in Information Engineering, Physics and Mathematics Additional entry requirements – Entry title and GPA Please verify country-based specific entry title and GPA requirements at the following link. The entry qualification documents are accepted in the following languages: English / Italian. You can often get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original entry qualification documents with you when you finally go to the university. If you are admitted to the degree course, you will have to submit other documents including original and translated/legalised copies of your previous qualifications, etc. No legalised documents are required at application stage.

Language requirements	English B2 Level (CEFR) or equivalent Please check out this link for the full list of accepted certificates, minimum scores and exemptions

More information	unipd.it/en/computer-engineering  degrees.dei.unipd.it/..omputer-engineering

Overview

The Master’s degree is designed to convey world-class competences and abilities for mastering and developing advanced IT systems. The programme provides strong methodological foundations as well as the practical skills required to deal with advanced applications in several areas of Computer Engineering.

Programme structure

The programme is organised in 4 study tracks covering various aspects of modern information
processing systems and representing scientific excellences of the University in these four areas:

- Artificial Intelligence and Robotics;
- Bioinformatics;
- High Performance and Big Data Computing;
- Web Information and Data Engineering.

Career opportunities

Graduates work in virtually unlimited professional fields. They can be employed by companies that design and produce computer components, or where IT is an enabling element for developing systems and equipment in various sectors, such as the automotive, biomedical, telecommunications, avionics, process automation, robotics.