Master in Artificial Intelligence for Science and Technology

The master's degree program in Artificial Intelligence for Science and Technology, Class LM-91 Techniques and methods for the information society, is jointly organized by the University of Milan Bicocca, the University of Milan, and the University of Pavia.

The master's degree program has a normal duration of two years and involves the acquisition of 120 ECTS to obtain the master's degree. This master's program is open admission. Admission is subject to verification of the curricular requirements and assessment of the candidate's personal preparation. To be admitted to the program, a level of knowledge of the English language equal to or higher than level B2 is also required.

The master's degree program is taught in English to allow graduates to integrate more easily in an international professional scenario, with the ability to dialogue and operate profitably in international workgroups and economic environments and to promote international mobility for study.

 At the end of the studies, the title of Master's Degree in Artificial Intelligence for Science and Technology is issued jointly by the University of Milan-Bicocca, the University of Milan, and the University of Pavia. This master's degree allows access to second level Masters and PhD's degree programs.

The administrative headquarters is the University of Milan-Bicocca. The campuses and logistical structures to support teaching activities are those made available by the University of Milan-Bicocca, the University of Milan and the University of Pavia.

• Specialist in Artificial Intelligence for Industry and the Environment

Graduates will be able to work on the design, implementation and management of computer systems, including complex ones, for smart embedded systems and their applications, as well as coordinating and leading groups working in these areas. More specifically, they may use their skills in the field of AI-enabled signal and image processing, as well as human-machine interaction and control. They may be employed or work as freelancers across private and public sectors in the field of embedded systems (e.g. industrials, biomedical, automotive and transport). Key market segments are: consumer electronics; biomedical companies; automotive and transport; the Public Administration and service providers in the industrial, environmental, biomedical, health, automotive and transport sectors; research institutions and academia (e.g. technical support to research and experimentation, smart embedded systems).

• Specialist in Artificial Intelligence for Smart Embedded Systems

Master's graduates will be able to work on the design, implementation and management of computer systems, including complex ones, for smart embedded systems and their applications, as well as coordinating and leading groups working in these areas. More specifically, they may use their skills in the field of AI-enabled signal and image processing, as well as human-machine interaction and control. They may be employed or work as freelancers across private and public sectors in the field of embedded systems (e.g. industrials, biomedical, automotive and transport). Key market segments are: consumer electronics; biomedical companies; automotive and transport; the Public Administration and service providers in the industrial, environmental, biomedical, health, automotive and transport sectors; research institutions and academia (e.g. technical support to research and experimentation, smart embedded systems).

• Specialist in Artificial Intelligence for Signal and Image Detection and Processing in the Healthcare and Environmental Sectors

Graduates will be able to work on the design, implementation and management of computer systems, including complex ones, for signal and image detection and processing applications in the healthcare and environmental sectors, as well as coordinating and leading groups working in these areas. More specifically, they may use their skills in the field of AI-enabled sensors, signal and image processing, as well as knowledge extraction from environmental and biomedical images and signals. They may be employed or work as freelancers across private and public sectors in the healthcare and environmental fields. Key market segments are: manufacturing of healthcare and environmental systems and components; the Public Administration and service providers in the health and environmental sectors; research institutions, universities and hospitals (e.g. technical support to research, experimentation, diagnosis and healthcare).

• Specialist in Artificial Intelligence for Complex Systems and Quantum Technologies

Graduates will be able to work on the design, implementation and management of computer systems, including complex ones, for the modelling, analysis and simulation of physical systems and for applications based on quantum computing, as well as coordinating and leading groups working in these areas. They may be employed or work as freelancers across private and public sectors for modelling complex physical systems and information processing based on quantum computing. Key market segments are: companies relying on models of complex physical phenomena and systems or quantum approaches to deal with complex problems in a wide range of sectors (e.g. manufacturing, new materials, pharmaceutical and chemical industries, environmental management, healthcare); the Public Administration and service providers in these sectors; research institutions and academia (e.g. technical support to research and experimentation).

The University of Milan is a public teaching and research university, which - with 8 faculties and 2 schools and a teaching staff of more than 2000 professors - is distinguished by its wide variety of disciplinary fields. A leading institute in Italy and Europe for scientific productivity, the University of Milan is the largest university in the region, with approximately 64,000 students; it is also an important resource for the socio-economic context of which it is a part. Milan is, in fact, the capital of Lombardy, one of the most dynamic and international regions in the European Union, a leader in the national economy that stands at the Italian forefront of research and development investments and commitment to technological innovation.

The University of Milan also possesses a remarkable artistic and cultural heritage that includes important historic buildings, inherited and acquired collections, archives, botanical gardens and the old Brera Observatory commissioned by Maria Teresa of Austria. The University’s departments are housed in important historic edifices in the center of Milan and in modern buildings in the area known as Città Studi (the City of Studies). Among the palazzos that house the University’s facilities are the old Ca' Granda (the big house) – a monumental complex from the 15th-century in the heart of the historical city centre - the 18th-century Palazzo Greppi designed by Giuseppe Piermarini – who built the Scala Theatre in Milan – and the 17th-century Sant’Alessandro College commissioned by the Arcimboldi family. The book collection , which is one of the richest in the region, is preserved in 47 libraries, while the APICE Centre collects rare and valuable book stocks and archives. The University also has a Choir and its own Orchestra, which actively contributes to the cultural life of the city and receives international acknowledgments on an increasingly frequent basis.