Computer Science (Classe LM-18)-Enrolled from 2014/2015 Until 2024/25 Academic Year

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Master programme
A.Y. 2025/2026
LM-18 - Informatica (EN)
Master programme
120
ECTS
Access
Open with entry requirements examination
2
Years
Milan
Italian, English
International title
Double Degree
The master's degree program in Computer Science aims to provide advanced knowledge and professional skills suitable for carrying out research, design and coordination activities in the various application areas of computer science, with particular reference to the commercial, industrial and scientific sectors.
The graduate in Computer Science carries out design, development, control and management of complex IT systems. The fundamental target of her/his activity is the constant improvement of IT systems in qualitative and economic terms, and the ability to propose in the application area in which she/he works the ceaseless innovations and technical improvements that characterize the discipline.
The master degree course therefore aims to train professionals with high-level analytical and operational skills, but also having an open and critical view of the problems related with the adoption and use of Information Technology.
The Master in Computer Science ensures advanced graduates' training in the fundamental areas
that mainly characterize information technology: algorithms, languages, logical and formal methods, software development and design, information systems and data management, architectures and networks, intelligent systems, data analysis and optimization, signal and image processing, multimedia and social communication.
Researcher and specialist in basic computer science research.
Functions: junior researcher associated with academic research groups, or laboratories of public and private bodies. Skills: in-depth awareness of the fundamentals of one's discipline and of the problems that characterize it with respect to the other sciences. Ability to elaborate and communicate original ideas in the field of basic computer science, in particular relating to the mathematical, logical and statistical foundations of computation, design and analysis of algorithms in abstract and, depending on the paths followed during the degree course, in different disciplinary areas. Opportunities: in public and private research institutions, as well as in high-tech companies that develop new methodologies and innovative systems. Continuation of the course of studies with third level training.

Application and system software analyst and designer.
Functions: high responsibility roles in the public or private sector with respect to the coordination, management and control of medium-large computer systems projects. Autonomous professional activities. Skills: mastery of different programming paradigms and languages, of the analysis and specification of requirements in software engineering, in the synthesis of programs, in the verification of the absence of errors within programs, in the verification of correctness with respect to the specifications. Control of the use of resources in sequential, object-oriented, concurrent and distributed environments. Knowledge of the methodologies and architectures relevant to the different areas of traditional IT as well as to the sectors of multimedia publishing, graphics and unconventional interaction, mobile and pervasive computing, social computing, web analytics and digital marketing. Opportunities: in manufacturing companies in the areas of IT systems and networks, in high-tech companies that develop or use new innovative IT methodologies and systems, and in companies and public and private organizations which use complex IT systems to manage their data and processes.

System analyst.
Functions: roles of high responsibility in the analysis and management of medium-large IT systems. Generally the perspectives are mainly in the technological field, but having particular management skills the graduate can attain high management roles even in different areas. Skills: knowledge of the most advanced technologies to adapt them to business objectives, with particular reference to: operating systems and network infrastructures, internet and intranet applications, the most common hardware and software architectures, the most common organizational and business management models, relational databases, Data Warehousing and Data Mining, the main technological platforms ERP and CRM. Opportunities: all areas of the public and private sector that use information technologies and operate in segments of market such as industry, banks, insurance, logistics and transport, healthcare, public administration, new media, companies of services.

Specialist in computer networks and communications.
Functions: roles of high responsibility and wide autonomy in medium-large telematic systems projects. Skills: ability to analyze, design, test, evaluate and optimize the performance of networks and network systems telecommunications. The graduate possesses advanced knowledge in IT sectors such as distributed systems, systems information, security, web technologies; she/he designs advanced systems and applications in innovative contexts, mobile and complex systems; has acquired advanced skills for solving problems and for learning innovative methodologies and technologies. Opportunities: all areas of the public and private sector that use communication technologies and operate in market sectors such as industry, banks, logistics and transport, healthcare, public administrations, new media, service companies, digital marketing.

Employment statistics (Almalaurea)
Candidates must have earned at least the following credits in their previous studies:
- 48 credits in the following academic fields: INF/01 (Computer science);
- 12 credits in the MAT/01-09 academic fields.
For the purposes of admission to the programme, the Academic Board reserves the right to carefully assess the student's career if not perfectly in line with the above requirements.
Admission requirements will be assessed based on the following qualifications: degree certificate with marks, transcript of records, course syllabus where not available on the website of the University of Milan.
The candidate's educational background will be assessed based on the exam grades achieved in the academic fields (SSD) listed under the admission requirements. If necessary, the candidate will be required to pass an individual interview.
Any curricular additions, in terms of university credits (CFU), must be achieved before the above assessment, by attending the following courses, and taking the relevant exams, within the degree programmes in Computer Science, Computer Science for New Media Communications, Music Information Science, Computer Systems and Networks Security.
The education program can be enriched by educational activities abroad both to deepen some topics and as socialization experience in international environments. Within the Erasmus+ program study periods can be taken in over 50 universities in Belgium, Czech Republic, Finland, France, Germany, Greece, Hungary, Lithuania, Norway, Netherlands, Poland, Portugal, Romania, Slovenia, Spain, Switzerland, Turkey. Courses will be recognized in the personalized study plan. These periods abroad are typically 5-month long and include courses for about 30 CFU, in the area of information and communication technology and related applications. Recognition of these educational activities will be based on the Learning Agreement, to be defined in advance by the student and the Erasmus coordinator at the Computer Science Department before starting the period abroad: course in the learning agreement with passed exams will replace the educational activities of the study plan ("manifesto"), either by covering the same topics or complementing the acquired basic competences. The Erasmus Committee at the Computer Science Department will perform the recognition of CFU obtained abroad and the definition of the personalized study plan. Similarly, stages to prepare the final dissertation are allowed in the same foreign universities. Recognition will be performed by the Department Erasmus Committee.
The degree course offers integrated study programmes that award joint/multiple degrees (https://www.unimi.it/en/international/study-abroad/double-degree).
Erasmus: the coordinator for the Department of Informatics is Prof. Fabio Scotti
International Programs: the coordinator for the Department of Informatics is Prof. Davide Rocchesso.
More information are available at the following link: https://di.unimi.it/it/rapporti-internazionali/mobilita-internazionale/opportunita-internazionali
Attendance is strongly recommended for both courses and laboratories.

Courses list

course year not available
Open sessions
There are no specific sessions for these activities (e.g. open online courses).
Courses or activities Max ECTS Total hours Language SSD
Compulsory
English Proficiency B2 (3 ECTS) 3 0 English NN
Conclusive activities
There are no specific sessions for these activities (e.g. open online courses).
Courses or activities Max ECTS Total hours Language SSD
Compulsory
Final Exam 39 0 Italian NN
Second semester
Courses or activities Max ECTS Total hours Language SSD
Optional
Information Management 6 48 English INF/01
First four month period
Courses or activities Max ECTS Total hours Language SSD
Optional
Advanced Programming Techniques 6 48 Italian INF/01
Affective Computing 6 48 English ING-INF/05
Algorithms and Complexity 6 48 Italian INF/01
Artificial Intelligence 6 48 English INF/01
Artificial Intelligence for Video Games 6 48 English INF/01
Audio Pattern Recognition 6 48 English INF/01
Biomedical Signal Processing 6 48 English ING-INF/06
Business Information Sistems 6 48 English INF/01
Combinatorial Optimization 6 48 Italian MAT/09
Decision Methods and Models 6 48 English MAT/09
Digital Citizenship and Civic Activism 6 48 Italian INF/01
Mathematical Logic 6 48 English MAT/01
Natural Language Processing 6 48 English INF/01
New Generation Data Models and Dbmss 6 48 English INF/01
Parallel and Distributed Algorithms 6 48 Italian INF/01
Privacy and Data Protection 6 48 English INF/01
Sensor System Design 6 48 Italian INF/01
Simulazione 6 48 English INF/01
Sound in Interaction 6 48 Italian INF/01
Theoretical Computer Science 6 48 Italian INF/01
Second four month period
Courses or activities Max ECTS Total hours Language SSD
Optional
Advanced Intelligent Systems 6 48 Italian INF/01
Algorithms for Massive Datasets 6 48 English INF/01
Artificial Vision 6 48 Italian INF/01
Cloud Computing Technologies 6 48 English INF/01
Complements of Operating Research 6 48 Italian MAT/09
Computational Geometry 6 48 Italian MAT/03
Development of Applications for Mobile Devices 6 48 Italian INF/01
Formal Methods 6 48 Italian INF/01
Gpu Computing 6 48 Italian INF/01
Graph Theory 6 48 Italian INF/01
Heuristic Algorithms 6 48 English INF/01
Logistics 6 48 Italian MAT/09
Midi Programming 6 48 Italian INF/01
Multimedia Architectures 6 48 Italian INF/01
Online Game Design 6 48 English INF/01
Probabilistic Methods for Informatics 6 48 Italian INF/01
Real-Time Graphics Programming 6 48 English INF/01
Statistical Methods for Machine Learning 6 48 English INF/01
Wireless and Mobile Networks 6 48 Italian INF/01
Third four month period
Courses or activities Max ECTS Total hours Language SSD
Optional
3d Video Games 6 48 English INF/01
Computing Education 6 48 Italian INF/01
Distributed and Pervasive Systems 6 48 English INF/01
Formal Language Theory 6 48 Italian INF/01
Intelligent Systems for Industry, Supply Chain and Environment 6 48 English INF/01
Methods for Image Processing 6 48 English INF/01
Numerical Analysis 6 48 Italian MAT/08
Programming for Music 6 48 Italian INF/01
Software Verification and Validation 6 48 Italian INF/01
Virtual Reality 6 48 Italian INF/01
Optional activities and study plan rules
- Students must acquire at least 18 credits among the following characteristic courses.
Courses or activities Max ECTS Total hours Language Lesson period SSD
Artificial Intelligence 6 48 English First four month period INF/01
Distributed and Pervasive Systems 6 48 English Third four month period INF/01
Information Management 6 48 English Second semester INF/01
Multimedia Architectures 6 48 Italian Second four month period INF/01
Statistical Methods for Machine Learning 6 48 English Second four month period INF/01
Theoretical Computer Science 6 48 Italian First four month period INF/01
Wireless and Mobile Networks 6 48 Italian Second four month period INF/01
1 - Students must achieve at least 30 and not more than 36 CFU choosing from the following Table 1.
Courses or activities Max ECTS Total hours Language Lesson period SSD
3d Video Games 6 48 English Third four month period INF/01
Advanced Intelligent Systems 6 48 Italian Second four month period INF/01
Advanced Programming Techniques 6 48 Italian First four month period INF/01
Algorithms and Complexity 6 48 Italian First four month period INF/01
Algorithms for Massive Datasets 6 48 English Second four month period INF/01
Artificial Intelligence 6 48 English First four month period INF/01
Artificial Intelligence for Video Games 6 48 English First four month period INF/01
Artificial Vision 6 48 Italian Second four month period INF/01
Audio Pattern Recognition 6 48 English First four month period INF/01
Business Information Sistems 6 48 English First four month period INF/01
Cloud Computing Technologies 6 48 English Second four month period INF/01
Development of Applications for Mobile Devices 6 48 Italian Second four month period INF/01
Distributed and Pervasive Systems 6 48 English Third four month period INF/01
Formal Language Theory 6 48 Italian Third four month period INF/01
Heuristic Algorithms 6 48 English Second four month period INF/01
Information Management 6 48 English Second semester INF/01
Intelligent Systems for Industry, Supply Chain and Environment 6 48 English Third four month period INF/01
Methods for Image Processing 6 48 English Third four month period INF/01
Midi Programming 6 48 Italian Second four month period INF/01
Multimedia Architectures 6 48 Italian Second four month period INF/01
New Generation Data Models and Dbmss 6 48 English First four month period INF/01
Online Game Design 6 48 English Second four month period INF/01
Parallel and Distributed Algorithms 6 48 Italian First four month period INF/01
Privacy and Data Protection 6 48 English First four month period INF/01
Probabilistic Methods for Informatics 6 48 Italian Second four month period INF/01
Programming for Music 6 48 Italian Third four month period INF/01
Real-Time Graphics Programming 6 48 English Second four month period INF/01
Sensor System Design 6 48 Italian First four month period INF/01
Simulazione 6 48 English First four month period INF/01
Software Verification and Validation 6 48 Italian Third four month period INF/01
Statistical Methods for Machine Learning 6 48 English Second four month period INF/01
Theoretical Computer Science 6 48 Italian First four month period INF/01
Virtual Reality 6 48 Italian Third four month period INF/01
Wireless and Mobile Networks 6 48 Italian Second four month period INF/01
2 - Students must achieve at least 12 and not more than 18 CFU choosing from the following Table 2. Those who have obtained 30 credits from the above table 1 must obtain 18 from table 2; those who have obtained 36 credits from the above table 1 will have to receive 12 from table 2.
Business Safety Management (6 cfu) will be held from the academic year. 2025/26
Courses or activities Max ECTS Total hours Language Lesson period SSD
Affective Computing 6 48 English First four month period ING-INF/05
Biomedical Signal Processing 6 48 English First four month period ING-INF/06
Combinatorial Optimization 6 48 Italian First four month period MAT/09
Complements of Operating Research 6 48 Italian Second four month period MAT/09
Computational Geometry 6 48 Italian Second four month period MAT/03
Computing Education 6 48 Italian Third four month period INF/01
Decision Methods and Models 6 48 English First four month period MAT/09
Digital Citizenship and Civic Activism 6 48 Italian First four month period INF/01
Formal Methods 6 48 Italian Second four month period INF/01
Gpu Computing 6 48 Italian Second four month period INF/01
Graph Theory 6 48 Italian Second four month period INF/01
Logistics 6 48 Italian Second four month period MAT/09
Mathematical Logic 6 48 English First four month period MAT/01
Natural Language Processing 6 48 English First four month period INF/01
Numerical Analysis 6 48 Italian Third four month period MAT/08
Sound in Interaction 6 48 Italian First four month period INF/01
3 - Free choice courses.
Students will have to achieve 12 free cfu among the courses of the previous tables, among the following courses activated by the Department, by Conservatorio, or among all the courses activated by the university.
It is not possible to choose courses activated by old study degrees.

Students can request the recognition of credits for training activities at external institutions, presenting a certification. Each certification can give rise to a maximum of 3 credits, and up to 2 certifications can be recognized. The students who intend to request the recognition of the certifications must complete the "application" form available on the page https://www.unimi.it/en/study/student-services/welcome-desk-infostudenti/general-forms and send ver to the secretary of his / her degree together with a copy of the certifications achieved.
The evaluation will be carried out by a special commission based on the following parameters:
- Validity: the certification must have been obtained for a maximum of 5 years.
- Specificity: the object of the certification must be those referable to those required by the degree course in which the student is regularly enrolled.
- Specialization: the certification must concern specialized and / or professional skills.
- Level: the certification must attest to skills of a medium or advanced level. Basic and entry level certifications are excluded.

Free choice courses (Conservatorio):
- 2 semester, Campionamento, Sintesi ed Elaborazione Digitale dei Suoni, TME, 3 cfu (settore COME/05)
- 1 semester, Sistemi e linguaggi di programmazione per l'audio e le applicazioni musicali 2, TME, 3 cfu (settore COME/05)
- Sistemi, Tecnologie, applicazioni e programmazione audio e musicale per i sistemi internet e per sistemi di comunicazione mobile, TMA, 3 cfu (settore COME/05)
- Campionamento, Sintesi ed Elaborazione Digitale dei Suoni, BME, 3 cfu (settore COME/05)
- 1 semester, Tecnologie e tecniche del montaggio e della post-produzione audio per il video 1, BTS, 3 cfu (settore COME/05)
- Tecnologie e tecniche del montaggio e della post-produzione audio per il video 2, BTS, 3 cfu (settore COME/05)
Course location
Milan
Laboratories locations
Computer laboratory (Silab) at the Department of Computer Science, via Celoria 18, Milan.
Presidente del Collegio Didattico
SABRINA TIZIANA GAITO
Docenti tutor
TUTOR PER L'ORIENTAMENTO:
Carlo Bellettini
Roberto Cordone
Mattia Monga
Beatrice Santa Palano
Laura Anna Ripamonti
Giorgio Valentini
Contacts