Clone Test Artificial Intelligence for Science and Technology
| Study location | Italy, Milano/Pavia |
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| Academic field | Artificial intelligence not elsewhere classified (JACS I490) |
| Type | Master, full-time |
| Nominal duration | 2 years (120 ECTS) |
| Study language | English |
| Course code | F9102Q |
| Tuition fee | €3,146 per year
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| Application fee | €30 one-time |
| Entry qualification | Bachelor diploma (or higher) open with entry requirements examination The entry qualification documents are accepted in the following languages: English / Italian. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original entry qualification documents along with you when you finally go to the university. |
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| Language requirements | English English B2 is required for the enrollment. |
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| Other requirements | At least 1 reference(s) must be provided. |
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| More information |
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Overview
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
Programme structure
Central European Time
Central European Time