Program Overview

Program Overview

The Applied Mathematics program at Sapienza University of Rome aims to provide students with a solid foundation in mathematical theory and its applications. The program is designed to foster a deep understanding of mathematical tools and their versatility in solving problems across various disciplines.

Objectives

The primary objectives of the program are to:

• Develop a strong foundation in mathematical theory and its applications
• Foster a deep understanding of mathematical tools and their versatility in solving problems
• Provide students with a solid knowledge of mathematical modeling and its applications in various fields, including physics, computer science, statistics, biology, and engineering

Program Structure

The program comprises:

• Theoretical training, focusing on the rigorous and logical aspects of mathematics
• Modeling and applied training, emphasizing the development of mathematical tools and their applications in various disciplines
• Optional courses in other disciplines with a strong mathematical component
• Training in numerical analysis and machine learning tools
• Opportunities for internships and study abroad programs

Research Areas

The program is closely tied to the research activities in the department, particularly in the areas of:

• Computational algebra
• Calculus of variations
• Probability and statistics
• Numerical analysis
• Analytical modeling
• Mathematical physics
• Applications to computer science

Assessment and Evaluation

Student learning outcomes are assessed through:

• Written and oral exams
• Discussion of student-prepared projects, potentially in collaboration with others
• Practical tests in computational and laboratory settings
• Evaluation of the final thesis and its presentation

Career Opportunities

Graduates of the program will possess a wide range of skills, enabling them to contribute to problem-solving in productive, administrative, or research contexts. They will also be well-prepared to pursue further research through a doctoral program or to develop innovative mathematical methods and applications. Additionally, the program provides a solid foundation for those interested in teaching, training, or science communication, covering all cultural and curricular aspects of mathematics education, including statistics and computer science.