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The Master's Degree in Computer Science aims to provide advanced training in both the theoretical and methodological aspects as well as the experimental and applied areas of fundamental computer science topics. The master will provide up-to-date computer science knowledge, minimizing specific technological details and instead emphasizing the broad principles and methods behind established and emerging technologies.
The course prepares professionals ready for engaging in research, design, and coordination in various fields of computer science, facilitating entry into multidisciplinary work environments, with a particular focus on commercial, industrial, and scientific sectors.
Graduates will gain advanced knowledge and skills in key areas that define computer science, including:
- Artificial intelligence and machine learning
- Data analysis and big data management
- Information systems for industrial, market, and biomedical applications
- Human-computer interaction and multimedia systems
- Distributed systems, cloud computing, and the Internet of Things (IoT)
- Foundational and theoretical aspects of computer science, such as algorithms, programming languages, software verification, and analysis
The program seeks to develop highly skilled professionals with strong analytical and operational abilities, a critical and open perspective on the adoption and use of computing technologies, and the capacity to understand, develop, and improve innovations that continuously shape the field.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Master's Degree in Computer Science aims to provide advanced training in both the theoretical and methodological aspects as well as the experimental and applied areas of fundamental computer science topics. The master will provide up-to-date computer science knowledge, minimizing specific technological details and instead emphasizing the broad principles and methods behind established and emerging technologies.
The course prepares professionals ready for engaging in research, design, and coordination in various fields of computer science, facilitating entry into multidisciplinary work environments, with a particular focus on commercial, industrial, and scientific sectors.
Graduates will gain advanced knowledge and skills in key areas that define computer science, including:
- Artificial intelligence and machine learning
- Data analysis and big data management
- Information systems for industrial, market, and biomedical applications
- Human-computer interaction and multimedia systems
- Distributed systems, cloud computing, and the Internet of Things (IoT)
- Foundational and theoretical aspects of computer science, such as algorithms, programming languages, software verification, and analysis
The program seeks to develop highly skilled professionals with strong analytical and operational abilities, a critical and open perspective on the adoption and use of computing technologies, and the capacity to understand, develop, and improve innovations that continuously shape the field.
Admission Requirements
5.5+
72+
The following may access the master's degree course: - graduates of the degree class in Computer Science and Technology (L-31) and of the corresponding class relating to Ministerial Decree 509/99. - graduates of other classes provided that they have acquired at least the following in their previous studies: 48 credits in the INF/01 or ING-INF/05 sector 12 credits in the MAT/01- 09 sectors Those in possession of another qualification obtained abroad and recognized as suitable on the basis of equivalence and who have acquired skills and knowledge equivalent to those of the above-mentioned requirements may also access the degree course. Verification of possession of the requirements will consist of an evaluation of the previous university career, carried out on the basis of the following qualifications: degree certificate with grade, list of exams passed with grade and number of credits, programs of individual courses where not available on the website of the University of Milan. The assessment of the adequacy of personal preparation will be based on the results reported in the exams of the scientific-disciplinary sectors indicated among the access requirements. When this does not demonstrate the full adequacy of personal preparation, the candidate will also be required to pass an individual interview. Any curricular integrations in terms of university training credits must be acquired, before the assessment referred to in the previous point, by attending and completing exams for courses taught in the degree courses in Computer Science, Computer Science for Media Communications, Sound and Music Computing, Computer Systems and Network Security.
2 Years
Oct
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Computer Science
Main Campus, Milan, Italy
# 201-250QS Subject Rankings
24 monthsProgramme duration
Computer Science and Information SystemsMain Subject Area
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Master's Degree in Computer Science aims to provide advanced training in both the theoretical and methodological aspects as well as the experimental and applied areas of fundamental computer science topics. The master will provide up-to-date computer science knowledge, minimizing specific technological details and instead emphasizing the broad principles and methods behind established and emerging technologies.
The course prepares professionals ready for engaging in research, design, and coordination in various fields of computer science, facilitating entry into multidisciplinary work environments, with a particular focus on commercial, industrial, and scientific sectors.
Graduates will gain advanced knowledge and skills in key areas that define computer science, including:
- Artificial intelligence and machine learning
- Data analysis and big data management
- Information systems for industrial, market, and biomedical applications
- Human-computer interaction and multimedia systems
- Distributed systems, cloud computing, and the Internet of Things (IoT)
- Foundational and theoretical aspects of computer science, such as algorithms, programming languages, software verification, and analysis
The program seeks to develop highly skilled professionals with strong analytical and operational abilities, a critical and open perspective on the adoption and use of computing technologies, and the capacity to understand, develop, and improve innovations that continuously shape the field.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Master's Degree in Computer Science aims to provide advanced training in both the theoretical and methodological aspects as well as the experimental and applied areas of fundamental computer science topics. The master will provide up-to-date computer science knowledge, minimizing specific technological details and instead emphasizing the broad principles and methods behind established and emerging technologies.
The course prepares professionals ready for engaging in research, design, and coordination in various fields of computer science, facilitating entry into multidisciplinary work environments, with a particular focus on commercial, industrial, and scientific sectors.
Graduates will gain advanced knowledge and skills in key areas that define computer science, including:
- Artificial intelligence and machine learning
- Data analysis and big data management
- Information systems for industrial, market, and biomedical applications
- Human-computer interaction and multimedia systems
- Distributed systems, cloud computing, and the Internet of Things (IoT)
- Foundational and theoretical aspects of computer science, such as algorithms, programming languages, software verification, and analysis
The program seeks to develop highly skilled professionals with strong analytical and operational abilities, a critical and open perspective on the adoption and use of computing technologies, and the capacity to understand, develop, and improve innovations that continuously shape the field.
Admission Requirements
Those in possession of another qualification obtained abroad and recognized as suitable on the basis of equivalence and who have acquired skills and knowledge equivalent to those of the above-mentioned requirements may also access the degree course. Verification of possession of the requirements will consist of an evaluation of the previous university career, carried out on the basis of the following qualifications: degree certificate with grade, list of exams passed with grade and number of credits, programs of individual courses where not available on the website of the University of Milan.
The assessment of the adequacy of personal preparation will be based on the results reported in the exams of the scientific-disciplinary sectors indicated among the access requirements. When this does not demonstrate the full adequacy of personal preparation, the candidate will also be required to pass an individual interview.
Any curricular integrations in terms of university training credits must be acquired, before the assessment referred to in the previous point, by attending and completing exams for courses taught in the degree courses in Computer Science, Computer Science for Media Communications, Sound and Music Computing, Computer Systems and Network Security.
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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