Objectives and professional roles



This is a 2-year graduate programme entirely taught in English, offered to both national and international students.

The MSc in Applied Mathematics aims at providing high-level competences for the formalization and the consequent mathematical analysis of problems arising from applied sciences and technologies, with a special focus on the analysis of big data systems and complex systems.
The program provides courses which complete the basic mathematical competences, covering all the main areas of Mathematics (Mathematical Logic, Algebra, Geometry, Mathematical Analysis, Mathematical Physics, Statistics, Numerical Analysis, Optimizations, Foundations of Mathematics). Then, the student has a choice of courses focused in areas where the support of advanced mathematical methods is fundamental in recent scientific researches and developing technologies. These courses cover topics such as the theory of formal languages, discrete methods in Mathematics, the applications of data analysis, bioinformatics and information systems for understanding stuctures in big data systems and networks, the techniques for modeling, analyzing and simulating complex dynamic systems, discrete event systems and nonlinear control systems. The student is trained to the interaction with specialists working in the scientific and technological areas where the support of advanced mathematical tools is required. The acquired skills include the ability of retriving methodological information from the advanced mathematical literature. Students interested in Education can complete the program with courses focused in the foundational and educational aspects of Mathematics.



The Master's Degree in Applied Mathematics at the University of Siena offers a comprehensive curriculum that equips students with both theoretical knowledge and practical skills, paving the way for various career paths in today's dynamic job market.


Mathematical Methodologies:


Courses in advanced calculus, functional analysis, algebra, logic, geometry, and mathematical modeling provide students with a solid theoretical foundation. Graduates proficient in these areas often find themselves in demand for roles such as:
1. Research Scientist: Applied mathematicians contribute significantly to research in various fields, including physics, engineering, and biology. They develop mathematical models to analyze complex systems and phenomena, making critical contributions to scientific advancement.
2. University Professor: Thanks to the skills acquired in advanced mathematical concepts and the experience gained, graduates can teach in schools or pursue an academic career.
3. Quantitative Analyst: Financial institutions seek mathematicians skilled in advanced calculus and statistical analysis to develop models for pricing financial instruments, managing risk, and making investment decisions.


Mathematical Modeling:


The program also emphasizes practical applications of mathematics through courses such as numerical methods, optimization, and computational techniques. Graduates with expertise in these areas can explore diverse career paths, including:
1. Data Scientist: In today's data-driven world, businesses rely on data scientists to extract insights from large datasets. Applied mathematicians proficient in computational techniques and optimization algorithms are well-suited for roles involving data analysis, machine learning, and predictive modeling.
2. Software Developer: Companies developing software for simulation, optimization, or data analysis often seek applied mathematicians to design and implement algorithms. Proficiency in programming languages like Python, MATLAB, or R is essential for this career path.
3. Engineering Consultant: Applied mathematicians with a strong background in numerical methods and computational techniques are in demand as engineering consultants. They assist in solving complex engineering problems, optimizing designs, and improving processes across various industries.
4. Operations Research Analyst: Many organizations hire operations research analysts to improve efficiency and decision-making processes. Applied mathematicians proficient in optimization techniques play a crucial role in modeling and solving complex operational problems in logistics, supply chain management, and resource allocation.
Although there are no educational courses explicitly dedicated to preparation for teaching or dissemination activities, the Master’s Degree in Applied Mathematics guarantees a broad training, covering all the cultural and curricular aspects of current teaching in schools, including topics of statistics and computer science, and which is developed through the relationship with other disciplines. For these reasons, the CdS gives a good foundation for teaching in schools.

In conclusion, the Master's Degree in Applied Mathematics from the University of Siena offers a diverse range of career opportunities, spanning from research and academia to industry and technology. Graduates equipped with both theoretical knowledge and practical skills are well-prepared to tackle the challenges of today's world and make meaningful contributions in their chosen fields.