Clone Test Artificial Intelligence for Science and Technology
| Luogo di studio | Italia, Milano/Pavia |
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| Settore accademico | Artificial intelligence not elsewhere classified (JACS I490) |
| Tipo | Master, full-time |
| Durata nominale | 2 years (120 ECTS) |
| Lingua di studio | inglese |
| Codice del corso | F9102Q |
| Tassa scolastica | The balance fee amount is based on the chosen course and the student’s country of income. See the fees and funding page for details. |
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| Tassa di iscrizione | 30 € una tantum |
| Deposito | 156 € una tantum |
| Qualifiche di accesso | Bachelor diploma (or higher) open with entry requirements examination I documenti di studio sono accettati nelle seguenti lingue: inglese / italiano. Se la tua scuola non rilascia i documenti nelle lingue accettate dovrai allegare una traduzione ufficiale insieme alle copie certificate dell’originale. È necessario portare con sé i documenti delle qualifiche di ingresso al momento dell’arrivo all’università. |
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| Requisiti linguistici | inglese English B2 is required for the enrollment. |
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| Altri requisiti | È necessario fornire almeno 1 referenza/e. |
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| Maggiori informazioni |
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Panoramica
Starting from the 2022/2023 academic year, the master’s degree course in Artificial Intelligence for Science and Technology is jointly organised by the University of Milan, the University of Pavia and the University of Milano-Bicocca, its administrative headquarters. Taught in English, it is specifically designed to train master’s degree graduates specialising in advanced aspects of the theoretical foundations, techniques, methodologies and ways of using artificial intelligence in complex applications.
Students are provided with extensive specialised training focused on the areas of computer science, mathematics, physics and statistics, giving them a thorough understanding of the theoretical aspects and advanced techniques of artificial intelligence and its use in science, industry and technological innovation. They will also receive the necessary training both in the organisational/management field, to understand, manage and integrate information and communication technologies in the company, and in the legal field, to understand the constraints that limit the socially acceptable use of artificial intelligence. The course also provides an opportunity for the students to supplement their general specialist training with further knowledge and skills needed to apply artificial intelligence in specific areas (industrial automation, environmental monitoring, embedded systems, biomedical and health systems, modelling of complex systems, systems for physics and quantum technologies).
Master’s graduates will therefore be able to contribute to the design and implementation of innovative solutions based on advanced artificial intelligence techniques for complex applications in both the public and private sectors