University of Milano-Bicocca

Overview

The Master's programme in Artificial Intelligence for Science and Technology at the University of Milano-Bicocca offers a comprehensive exploration of advanced AI techniques and their applications in scientific and engineering fields. Designed to equip students with both theoretical knowledge and practical skills, this course emphasizes the responsible and effective use of AI to solve complex, real-world challenges.

What you'll study

This programme integrates core AI principles with practical applications across various domains. You will engage in advanced coursework, project work, and a final thesis that showcases your expertise in AI.

Key focus areas

• AI methodologies applicable to science, industry, and technology
• Foundational knowledge in mathematics, physics, computer science, and statistics
• Applied tracks including industrial automation, environmental monitoring, embedded systems, biomedical and health systems, and complex systems modelling
• Ethics, governance, and legal considerations for socially responsible AI implementation

Typical learning pathway

• Core modules covering advanced AI concepts, mathematics and statistics for AI, and computational techniques
• Scientific and engineering applications that connect AI strategies to practical domain-specific challenges
• Interdisciplinary components that address the organizational and management aspects of integrating ICT and AI
• Ethics and legal frameworks to ensure the responsible deployment of AI technologies
• Final thesis focused on a significant AI topic, developed with both academic and practical relevance

Specialisation and electives: Depending on course offerings, students can select application-oriented electives that align with their interests, such as industrial automation, environmental monitoring, embedded systems, biomedical and health systems, modelling of complex systems, and systems for physics and quantum technologies.

Entry requirements

To apply for this programme, candidates must possess a first-level (Bachelor’s) degree that qualifies them for Master's study in their home country. A background in computing, engineering, mathematics, physics, statistics, or related fields is typically expected. Currently, there are no specific GRE or GMAT requirements for this programme.

Career prospects

Graduates of the Master's programme in Artificial Intelligence for Science and Technology are well-positioned for diverse career opportunities across various sectors. They may pursue roles in research, industrial automation, healthcare technology, environmental monitoring, and more. The skills acquired in this programme prepare students for impactful positions that leverage AI to innovate and enhance scientific and technological practices.