Second cycle degree in

Computer engineering

Class: LM-32 - Computer systems engineering

Logo QS
Class LM-32 - Computer systems engineering
Duration 2 years
Branch Padova
Language English
Tuition fees and scholarships
Programme coordinator CARLO FERRARI
Access Open access with admission requirements

Next Calls for applications (international students) - A.Y. 2021/22:

  • 1st Call: 2 November 2020-2 February 2021
  • 2nd Call: 2 March-2 June 2021(non-EU)/2 September (EU) - APPLY NOW

An interdisciplinary course in English, offering a wide spectrum of knowledge suitable to interpret, describe and solve the problems of computer engineering in an innovative way. You will approach theoretical and application topics such as computation theory, algorithmics, operating and distributed systems, computer systems architectures, computer networks and databases, with a focus on artificial intelligence and robotics, big data and web sciences. The flexibility of the study paths and the great variety of the training opportunities, combined with practical experiences such as internships in companies, will allow you to customise your learning experience. The employment opportunities are wide and varied, from the automation of services in public and private entities to the applications of robotics, industry 4.0 and life sciences.

Curricula
ARTIFICIAL INTELLIGENCE AND ROBOTICS; BIOINFORMATICS; HIGH PERFORMANCE AND BIG DATA COMPUTING; WEB INFORMATION AND DATA ENGINEERING

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Characteristics and objectives
The master degree in Computer Engineering forms a professional, second-level engineer, benefiting from the cutting-edge research activities expressed by the Department of Information Engineering of the University of Padua. The professional profile of the graduate student is therefore of high profile and able to use a wide range of knowledge to interpret, describe and solve in an innovative way problems of computer engineering, which require a strong in-depth analysis together with an interdisciplinary approach. The specific training in Computer Engineering concerns all the foundamental theoretical and applicative topics, such as computational theory, algorithmics, operating systems and distributed systems, modern computing system architectures, computer networks, databases. Furthermore, the most recent advances in artificial intelligence and robotics, in big data processing, in the web sciences are presented. The flexibility allowed by the various proposed study paths allows the choice between courses also on other specialized topics of considerable applicative impact, within a varied offer that enhances all the specific areas of competence of the teachers of the Department (bioinformatics, computer music, compilers etc.). Training activities that concern the corporate organization and modern telecommunications are also planned. The course of study concludes with the development of a master thesis (with mentor) on activities related either to departmental research or to company internships.

Occupational opportunities
The pervasive dissemination of information processing tools in every sector of activity makes the set of employment areas of the master computer engineer extremely broad. Among these are of particular relevance: the automation of services in public and private institutions; distributed systems and applications, especially multimedia ones; embedded processing systems, systems for the analysis of large amounts of data and machine learning systems, applications related to robotics and industry 4.0 and those related to life sciences. In general, these areas are characterized by the need to deal with complex information systems in multidisciplinary contexts.

Curricula
ARTIFICIAL INTELLIGENCE AND ROBOTICS; BIOINFORMATICS; HIGH PERFORMANCE AND BIG DATA COMPUTING; WEB INFORMATION AND DATA ENGINEERING

  Teaching list

Training

I Year BIG DATA COMPUTING [CFU 6] AUTOMATA, LANGUAGES AND COMPUTATION [CFU 9] OPERATIONS RESEARCH 1 [CFU 9] INFERENTIAL STATISTICS [CFU 6] BIOINFORMATICS [CFU 9] COMPUTER NETWORKS [CFU 9] SEARCH ENGINES [CFU 9] WEB APPLICATIONS [CFU 6] PARALLEL COMPUTING [CFU 9] MACHINE LEARNING [CFU 6] ARTIFICIAL INTELLIGENCE [CFU 6] COMPUTER VISION [CFU 9] STRUCTURAL BIOINFORMATICS [CFU 6] IMAGING FOR NEUROSCIENCE [CFU 9] NEUROROBOTICS AND NEUROREHABILITATION [CFU 6] QUALITY ENGINEERING [CFU 6] CRYPTOGRAPHY [CFU 6] ENGLISH LANGUAGE B2 (PRODUCTIVE SKILLS) [CFU 3] ITALIAN LANGUAGE [CFU 3] ROBOTICS AND CONTROL 1 [CFU 9] FOUNDATIONS OF DATABASES [CFU 6] WEB APPLICATIONS [CFU 6] SOFTWARE PLATFORMS [CFU 6] GEOGRAPHIC INFORMATION SYSTEMS [CFU 6] DEEP LEARNING [CFU 6] II Year COMPUTATIONAL GENOMICS [CFU 6] ADVANCED ALGORITHM DESIGN [CFU 9] DATABASE 2 [CFU 9] INTELLIGENT ROBOTICS [CFU 9] LEARNING FROM NETWORKS [CFU 6] GENOMICS AND NGS DATA ANALYSIS [CFU 9] ADVANCED ALGORITHM DESIGN [CFU 9] GAME THEORY [CFU 6] COMPUTATIONAL GENOMICS [CFU 6] INDUSTRIAL ROBOTICS [CFU 9] INNOVATION, ENTREPRENEURSHIP AND FINANCE [CFU 9] INFORMATION SECURITY [CFU 6] STOCHASTIC PROCESSES [CFU 6] OPERATIONS RESEARCH 2 [CFU 6] INTERNSHIP [CFU 9] RESEARCH TRAINING [CFU 9] DISTRIBUTED SYSTEMS [CFU 9] COMPUTER ENGINEERING FOR MUSIC AND MULTIMEDIA [CFU 6] COMPUTERS AND NETWORKS SECURITY [CFU 6] CONCURRENT AND REAL TIME PROGRAMMING [CFU 6] NATURAL LANGUAGE PROCESSING [CFU 6] LEARNING FROM NETWORKS [CFU 6] 3D DATA PROCESSING [CFU 6]