Program Overview

Program Overview

The Mathematical Sciences for Artificial Intelligence program consists of a single curriculum, organized into formative activities characterized by logical rigor and a high level of abstraction, typical of a mathematics degree, combined with computer science teachings, both theoretical and algorithmic, and programming. Theoretical tools are subsequently used to introduce the fundamental concepts of artificial intelligence and machine learning. Alongside these foundational teachings, the curriculum includes courses where acquired tools are applied to various disciplines, from physics to biology, providing a paradigm for the development and nature of intelligence.

Program Structure

• The program is divided into three years.
  • In the first year, students are provided with a solid foundation in mathematics, including analysis, algebra, geometry, and probability and statistics, as well as elements of computer science and programming, with a strong emphasis on laboratory activities.
  • From the second semester, the tools acquired are applied to the study of physics and neuroscience.
• In the second year, the intersection between mathematics, computer science, and applications intensifies with the study of algorithms and their complexity, numerical analysis, optimization, machine learning techniques, and artificial intelligence applied to the analysis of large data sets, as well as the mathematical aspects of physics and model building.
• The third year is dedicated to consolidating and completing the course of study through teachings on stochastic processes and applications to bioinformatics. Additionally, the third year allows for the development of personal inclinations, enabling students to connect with the various master's degrees accessible to Mathematical Sciences for Artificial Intelligence students. Numerous optional courses are dedicated to this, allowing students to choose a path closer to the mathematical or computer science aspects of artificial intelligence, or to choose a path closer to applications.
• The program concludes with a final exam consisting of the public discussion of an autonomous work (thesis) carried out by the student, assisted by a teacher, on a theme object of the study path.

Additional Program Elements

• The program includes useful teachings for the world of work, such as the study of English, the ethical aspects of artificial intelligence, and scientific communication techniques.
• Preliminary mathematics courses are recommended for all first and second-year students with a formative debt and are open to all students who wish to enroll in one of the Faculty's courses of study but do not feel sufficiently prepared in mathematics to face the university path. These courses will be held from September 8 to September 23 in the Levi Civita (CU006) classroom, according to the following schedule:
  • From Monday, September 8 to Thursday, September 11, from 9:00 AM to 12:00 PM
  • From Monday, September 15 to Thursday, September 18, from 9:00 AM to 12:00 PM
  • Monday, September 22, and Tuesday, September 23, from 9:00 AM to 12:00 PM

Conclusion

The Mathematical Sciences for Artificial Intelligence program at Sapienza University of Rome offers a comprehensive and interdisciplinary approach to the study of artificial intelligence, combining mathematical rigor with computer science and applications. The program is designed to provide students with a solid foundation in mathematics and computer science, as well as the skills and knowledge necessary to pursue a career in artificial intelligence and related fields. With its unique blend of theoretical and practical teachings, the program prepares students for a wide range of applications, from physics and biology to neuroscience and bioinformatics.