Master Degree in Computer Science
The Masters Degree in Computer Science involves the acquisition of 120 university credits (CFU) through a two-year study programme. 84 CFU are obtained through 11 exams. Indicatively, 7 exams are taken in the first year, and 4 in the second. The remaining credits are acquired through other training activities such as internships and the final exam.
The study course has unlimited positions. Access requires verification of the possession of the curricular requirements and an interview to evaluate the personal preparation.
Some course teachings are taught in English (some on demand):
- F1801Q107 - Complex Systems: Models and Simulation (on demand)
- F1801Q122 - Information Theory and Cryptography (on demand)
- F1801Q132 - Models and Computation (on demand)
- F1801Q151 - Advanced Machine Learning
- F1801Q155 - Artificial Intelligence (on demand)
- F1801Q157 - Cloud Computing
- F1801Q149 - Computer and Robot Vision (on demand)
- F1801Q153 - Data and Computational Biology
- F1801Q105 - Data and Text Mining
- F1801Q158 - Evolution of Software Systems and Reverse Engineering
- F1801Q141 - Logical Foundation of Computer Science (on demand)
- F1801Q110 - Information Retrieval
- F1801Q123 - Computer Security (on demand)
- F1801Q117 - Parallel Computing (on demand)
- F1801Q156 - Ubiquitous, Pervasive & Context-aware Computing
- F1801Q108 – Bioinformatics (on demand)
The University has launched a joint study program for achieving a double degree with:
- Université de Nice Sophia Antipolis (Masters Degree in Computer Science);
- University of Italian Switzerland (Masters Degree in Computer Science);
At the end of the studies, the Masters Degree in Computer Science is released.
The Masters Degree allows access to second-level postgraduates courses and to the Ph.D.
The Masters Degree in Computer Science allows the possibility of enrolling in section A of the professional register of Information Engineer, after passing the State Exam.
The Master Degree in Computer Science aims to provide a solid cultural and methodological preparation in the computer science, engineering and mathematics disciplines, characterized by a strong technological and design component and enriched by conceptual and methodological structures that are based on the tradition of the physical and natural mathematical sciences and on the humanistic tradition and socio-economic. These skills are accompanied by the visibility of a set of transversal application contexts that now cover all aspects of social life. The skills acquired are, on the one hand, directly expendable in a labor market characterized by high demand; on the other, they are the basis for a continuation of studies oriented in particular towards research.
In the past (XIX AlmaLaurea survey), the Master's Degree graduates reported an employment rate one year after the graduation of 94.4% (compared to a national average of 69.9%). 63.5% of registered students graduated not more than one year out of schedule compared to 57.5% in the same type of study programme at national level (National Student Registry Data ANVUR 15/16).