The bachelor degree course aims to train professionals able to take part into analysis, design, implementation and system management activities in the areas of computer science, automation and management engineering.

The program aims to provide a wide range of methodological and technical skills in the field of information engineering in order to create professionals with a high degree of flexibility and adaptation to market demands. It also gives a solid preparation in mathematics and physics, thereby providing the tools and scientific methodologies required to approach engineering problems in a rigorous way.

The objectives of the course are therefore: on the one hand, to provide a solid, general scientific and methodological preparation and, on the other hand, to create a highly specialised professional. For this reason, general scientific and engineering methodologies are covered in greater depth (with a view to developing methodological skills in the analysis, modelling and formulation of complex engineering problems), whereas more technically advanced courses are offered to complete the student’s competences presenting methodologies, technical solutions and application in specific sectors.

The core curriculum not only gives students a solid background in mathematics and physics, but also develops transferable skills in computer science, with extensive training in algorithm analysis and programming. In the field of information engineering, the modules provide a common foundation in electronics, signal analysis and transmission, modelling and control of dynamic systems, and computer architecture. These competencies are complemented by topics covering the methodologies for electric circuit analysis, basic knowledge of economics and business administration, and elements of numerical analysis.

How to study

The Internet-based training activities take place in a web-based macro-area which is called the Didactic Cyberspace. In the Didactic Cyberspace, the training and learning process takes place and accesses are diversified through customized login and password based on the role of the players in the educational path: professors, tutors, and students. Lessons and online on-demand activities are available 24h/day together with live streaming virtual classrooms and recorded virtual classrooms (https://goo.gl/jY26qD).

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Duration: 3 academic years

Credits: 180 ECTS

Language: English, Italian, Arabic

Program taught in:
  • English
  • Italian

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Last updated October 24, 2018
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Computer Engineering - Big Data

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How to study on the UNINETTUNO e-learning platform