Master in ARTIFICIAL INTELLIGENCE FOR SCIENCE AND TECHNOLOGY

Tuition fees for Master in ARTIFICIAL INTELLIGENCE FOR SCIENCE AND TECHNOLOGY are 2,056 EUR per year.

Artificial Intelligence for Science and Technology is a master's program taught in English at Università degli Studi di Milano-Bicocca, in Milano, Italy, with a duration of two years. This field studies the methods and applications of artificial intelligence, including machine learning, deep learning and data-driven modeling, with particular attention to their use in scientific and technical domains. Students typically study the mathematical and computational foundations of artificial intelligence, covering topics such as statistical learning, neural networks and optimization, alongside the programming and software skills needed to design and implement these methods. Coursework often addresses how artificial intelligence techniques are applied to scientific problems, including the analysis of large or complex datasets in fields such as physics, biology, environmental science or engineering, where machine learning can support pattern recognition, prediction and simulation. The discipline also considers the practical challenges of applying artificial intelligence in technical settings, including data quality, model validation and the interpretability of automated predictions. Because artificial intelligence methods are increasingly embedded in scientific research and technological development, students generally gain experience applying computational techniques to real datasets and problems drawn from multiple scientific and engineering domains. Graduates of programs in this field commonly pursue careers as machine learning engineers, data scientists or research scientists in technology companies, research institutions and industries that rely on data-driven methods, including energy, manufacturing, healthcare and environmental monitoring. Others move into roles developing artificial intelligence tools and software used within specific scientific or engineering domains, or continue into doctoral research in machine learning, computational science or a related technical field. Studying artificial intelligence for science and technology in English at an Italian university offers a technically focused program situated at the intersection of computational methods and their application across scientific and engineering disciplines.