Incoming students

At our Departement we offer three Master degree courses:

Computer Science

The Master Course in Computer Science prepares the students to address technological future challenges. The course prepares the students with the competences to address autonomously complex issues and problems, by choosing the most appropriate solutions, as well as by creating and developing new enhanced solutions. The acquired competences enable graduates to cover responsibility and coordination positions in industrial contexts, to contribute to the technology transfer and to the research development. Further, these competences enable graduates to have a protagonist role in the development of the society of Information, and, thanks to the interdisciplinary applications of Computer Science, it will be possible to operate in business as well as social environments. The Master Course offers advanced competences in the design and development of software, artificial intelligence, complex systems, data management, and machine learning. The acceptance requirements ensure a homogeneous base competences for all the candidates. These competences will be enriched and completed during a wide range of courses which will enable you to build your own path based on your own skills and expectations.

Data Science

The Master Degree in Data Science is part of the Class of Master Degrees in Information Society. The goal of the degree is to provide graduate students, who are coming from different scientific backgrounds, with advanced competences and skills required for the value-driven analysis of large amount of data (so called big data) using cutting-edge statistical techniques and computational models. The degree is targeted to graduate students who have a background in different scientific domains, ranging from Natural Sciences to Social Sciences and Economics. It is designed to have a solid basis in Statistics and Computer science but also a strong multidisciplinary characterization in juridical, social and economic issues.

Theory and Technology of Communication

The Master's Degree (Laurea Magistrale) Course in Communication Theory and Technology belongs to the Class of Master's Degrees in Communication.
The Degree Course aims to provide a solid cultural and methodological background in the computer science, psychological, visual and linguistic disciplines in the field of communication, with a strong multidisciplinary connotation, which will allow graduates to enter a job market in which professional figures with skills related to communication as cognitive and social process mediated or supported by technology are required. The main professional outlets are in the fields of digital communication and marketing, content creation and management, and the design of interactive digital systems.

The objectives of the course are to provide a high level of mastery of general scientific methods and contents and specific technical-professional knowledge that allow to play roles of high responsibility in the research, development and management of complex user-oriented communication systems and related technologies.
The teaching activity has an important project orientation: several courses have a laboratory approach, in which students of different training cooperate in working groups for the realization of projects with a strong multidisciplinary character..
The courses are scheduled in two semesters: the first semester starts at the end of September and ends by mid-January, the second semester starts by the end of February and ends by mid-June. Exams and tests are held in January-February (Winter session) and since June to September (Summer session).

You can find here the courses in English:

Computer Science 
(Detailed programs programs at https://elearning.unimib.it/course/index.php?categoryid=3582)      

  • F1801Q107 - Complex Systems: Models and Simulation (on demand it will be taught in English)
  • F1801Q122 - Information Theory and Cryptography (on demand it will be taught in English)
  • F1801Q132 - Models and Computation (on demand it will be taught in English)
  • F1801Q151 - Advanced Machine Learning (it will be taught in English)
  • F1801Q155 - Artificial Intelligence (on demand it will be taught in English)
  • F1801Q157 - Cloud Computing (it will be taught in English)
  • F1801Q149 - Computer and Robot Vision (on demand it will be taught in English)
  • F1801Q153 - Data and Computational Biology (it will be taught in English)
  • F1801Q105 - Data and Text Mining (it will be taught in English)
  • F1801Q158 - Evolution of Software Systems and Reverse Engineering (it will be taught in English)
  • F1801Q141 - Logical Foundation of Computer Science (on demand it will be taught in English)
  • F1801Q110 - Information Retrieval (it will be taught in English)
  • F1801Q123 - Computer Security (on demand it will be taught in English)
  • F1801Q117 - Parallel Computing (on demand it will be taught in English)
  • F1801Q156 - Ubiquitous, Pervasive, & Context-aware Computing (it will be taught in English)

Data Science
(Detailed programs programs at https://elearning.unimib.it/course/index.php?categoryid=4386)      

  • F9101Q011 - Data semantics (it will be taught in English)
  • F9101Q005 - Machine Learning and Decision Models (it will be taught in English)
  • F9101Q012 – Cybersecurity for Data Science (it will be taught in English)
  • F9101Q021 - Social Media Analytics (it will be taught in English)
  • F9101Q017 - Streaming Data Management and Time Series Analysis  (it will be taught in English)
  • F9101Q013 - Technological Infrastructures for Data Science (it will be taught in English)
  • F9101Q015 - Text Mining and Search (it will be taught in English)

Theory and Technology of Communication
(Detailed programs programs at https://elearning.unimib.it/course/index.php?categoryid=3588)      

  • F9201P211 - Multimedia Data Processing (it will be taught in English)
  • F9201P213 - Applied Social Cognition to Public Policies (it will be taught in English)
  • F9201P212 - Consumer psychology (it will be taught in English)
  • F9201P208 - Data semantics (it will be taught in English)
  • F9201P031 - Information Retrieval (it will be taught in English)
  • F9201P210 - Ubiquitous, Pervasive, & Context-aware Computing (it will be taught in English)

General information can be found on the pages of the UniMiB International portal.