Second cycle degree in

Computer Science

Class: LM-18 - Computer science

y2024 WUR Subject Computer Science and Information Systems badge 200
Class LM-18 - Computer science
Duration 2 years
Branch Padova
Language English
Tuition fees and scholarships
Programme coordinator CLAUDIO ENRICO PALAZZI
Access Open access with admission requirements

Call for Applications (international students) - A.Y. 2024/25

  • 1st Call: 2 November 2023 - 2 February 2024 
  • 2nd Call: 2 March - 2 May 2024 APPLICATION PLATFORM
  • 3rd Call (ONLY EU and equated students): 2 June - 2 August 2024

A course that expands the basics of computer science learned during the three-year study course , giving you in-depth knowledge, especially in the most innovative areas of the subject, and a high professional skills needed in ever-growing and challenging sectors of the job market and research. You will follow lessons related to: computability and advanced algorithms, programming paradigms, formal methods of specification and analysis, advanced logic, cryptography and security, concurrent, distributed, real-time, hypermedia, wireless systems, advanced web technologies, open technologies. source, artificial intelligence, machine learning, combinatorial optimization, data mining, bioinformatics. You can dedicate yourself, with managerial and supervisory tasks, to development and research projects in companies, both public and private, with high technological potential.

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Characteristics and objectives
The master program strengthens and deepens the cultural background in the fundamental areas of computer science, introduces the most recent and advanced fields of computer science, and provides the basic skills to work in foundational and applied research projects in computational disciplines. The programme is organised in three main study tracks: 'Artificial intelligence', 'Internet, Mobile and Security', 'Programming languages and systems'. Students will build their own study plan choosing among a wide offer of course units in: computability, advanced algorithms, modern programming paradigms, mobile programming and multimedia systems, formal methods for specification and verification, computer and network security, concurrent, distributed and real-time systems, wireless networks, advanced web technologies, artificial intelligence, machine learning, cognitive systems, data mining, bioinformatics, game theory, combinatorial optimization, type theory.

Occupational opportunities
Master graduates typically assume managing and leading roles in ICT organizations and may contribute and lead R&D ICT projects in public organizations and private companies. The growth of the ICT job market continues to be very positive, hence the outlook is very promising. The master degree allows to apply to the admission competitions for the PhD programs in Computer Science or related disciplines.