MApplied Mathematics
Italy, Siena
Study location | Italy, Siena, Palazzo San Niccolò, via Roma, 56 |
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Academic field | Mathematical Sciences (JACS G000) |
Type | Master's Degree, full-time |
Nominal duration | 2 years (120 ECTS) |
Study language | English |
Awards | M (LM-40 Second cycle degree in Mathematics) |
Application fee | €49.90 per program |
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Entry qualification | Bachelor/Undergraduate diploma (or higher) After You Apply Admission Criteria
After the Evaluation At the discretion of the Enrolment Committee, students who pass the initial selection based on the submitted documents may be invited to take a remote online test and/or attend an interview. The dates for any additional selection tests will be communicated via email. The entry qualification documents are accepted in the following languages: English / Italian. Schools and universities usually provide documentation translated into English. If this is not available, an official translation will be required, along with certification of the authenticity of the original documents. Review the documents required for the admission application at this link: admission.unisi.it/?p=1193 Review the documents required for enrollment (upon admission) at the link admission.unisi.it/?p=1193 Upload copies on the application |
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Territory requirements | Applications are accepted from the following territories (based on citizenship): World. |
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Language requirements | English English fluency is required, with a minimum proficiency level of B2 according to the Common European Framework of Reference for Languages (CEFR). For further information, check the following link |
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More information |
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Overview
Outline
The Master’s degree program in Applied Mathematics prepares graduates with a solid foundation in Mathematics, covering both theoretical aspects (such as Logic, Algebra, Geometry, and Analysis) and applied areas (including Numerical Analysis, Statistics, Mathematical Modeling, and Optimization techniques). This comprehensive preparation equips students with the skills needed for both academic research and the ability to formalize and analyze problems from applied sciences and technologies using advanced mathematical methodologies.
The program is structured into two specialized curricula:
- Mathematical Methodologies
- Mathematical Models
Each curriculum is designed to provide targeted expertise, enabling students to develop skills tailored to specific areas of application or research.
Objectives
The Master’s degree program in Applied Mathematics aims to train specialists capable of analyzing problems within Mathematics and across related disciplines. Graduates will learn to identify appropriate mathematical tools, leveraging scientific literature, to formalize and solve these problems effectively. They will also be equipped to collaborate with researchers from diverse fields such as Computer Science, Engineering, Economics, and Experimental Sciences.
The program integrates substantial coursework in scientific and technological disciplines to enhance students’ ability to comprehend and engage with the language and methodologies of related fields. This interdisciplinary focus fosters collaboration and equips graduates to excel in both research and professional settings.
Graduates of the program will possess a robust combination of theoretical knowledge and practical skills, enabling them to contribute to solving complex problems across various domains. They will be well-prepared for careers in manufacturing, administration, and research or to pursue further education through doctoral or postgraduate programs in Mathematics or disciplines reliant on mathematical modeling.
Teaching
The degree program in Applied Mathematics at the University of Siena offers a diverse and rigorous curriculum that blends theoretical knowledge with practical application, preparing students for academic research and professional careers.
Theoretical Foundations
During the first year, students build on their advanced mathematical training by delving deeper into key areas such as Logic, Algebra, Geometry, and Analysis. These courses provide a profound understanding of fundamental mathematical concepts and their potential applications.
Practical Applications
The program emphasizes real-world applications of mathematics. Students gain hands-on experience through courses on numerical methods, optimization, and computational techniques. These courses develop the skills needed to address complex problems in scientific and technological contexts.
Students apply mathematical principles to areas such as data analysis, engineering, economics, biology, and scientific research. This interdisciplinary approach fosters creativity, innovation, and the ability to tackle diverse challenges, ensuring graduates are prepared for a wide range of career opportunities.
Program structure
MUR degree class: LM-40 Second cycle degree in Mathematics
Duration in years: 2
Credits: 120
Language: English
Career opportunities
Internship and International Opportunities
The Department of Information Engineering and Mathematics has an extensive history of collaboration at both academic and industrial levels. These partnerships offer students the opportunity to spend a semester at prestigious universities and research institutions through student exchange programs or to undertake internships at companies or research labs specializing in complex system modeling and data analysis.
Career Opportunities
Graduates in Applied Mathematics possess the ability to mathematically formalize problems described in natural language and leverage this formalization to analyze issues not only within Mathematics itself but also in related disciplines. They are skilled in collaborating with experts in other fields to effectively apply advanced mathematical tools in practical contexts.
As a result, graduates are well-equipped to enter the job market in roles such as mathematicians, statistical technicians, computer specialists, information processing and transfer experts, or financial management technicians.
Key career opportunities include:
- Research and experimental development in engineering, economics, biology, and social sciences.
- Teaching Mathematics, following completion of the required ministerial courses.
- Advanced research in Mathematics, with the option to pursue a PhD.
- Positions in organizations and companies that focus on data analysis, modeling, or the optimization of complex systems.
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