Master in Mathematics
Como, Italy
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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STUDY FORMAT
On-Campus
Scholarships
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Introduction
Studying for a math degree means becoming acquainted with abstract concepts that challenge and sharpen logical capabilities to the highest degree. Because of this, mathematics graduates are successful in the most diverse fields. They can analyze problems, construct models, find connections among different concepts, and imagine new, surprising solutions.
More and more, the capabilities of a mathematics graduate are sought by R&D companies, but also by management, finance, banking, and insurance firms looking for individuals capable of framing problems theoretically and analyzing large amounts of data.
Studying mathematics strengthens abstraction and imagination, which allow the future graduate to develop flexible work capabilities and enable him/her to easily adapt to an ever-changing work environment.
This approach is implemented starting from the very earliest years of the program. In our classes you will be taught to develop a critical approach to the material, requiring autonomy and creativity.
There won’t be large books to learn by heart - rather, there will be concepts to understand, think about deeply, and be able to apply autonomously.
In the end, you will learn to discuss problems, ideas, and solutions in a precise and rigorous way and to communicate, both in Italian and in English, with experts in your and other disciplines.
Admissions
Scholarships and Funding
Curriculum
With 120 credits, you have completed the required coursework for your degree program.
Year 1
- Further educational activities - language skills
- Advanced algebra B
- Advanced analysis B
- Advanced geometry B
- Analytic and probabilistic methods in mathematical physics a
- Analytic and probabilistic methods in mathematical physics B
- Approximation methods B
- Dynamical systems B
- Further educational activities - computer science and telematic skills
- Geometrical methods in physics
- Intelligent systems
- Mathematical logic
- Numerical Methods and Applications B
- Numerical solutions of PDE's B
- Process algebras
- Statistics B
- Topics in advanced analysis B
- Topics in advanced geometry B
- Topos theory
Year 2
- Further educational activities - language skills
- Advanced algebra A
- Advanced analysis A
- Advanced geometry A
- Analytic and probabilistic methods in mathematical physics A
- Apprenticeship
- Apprenticeship
- Approximation methods A
- Categorical logic
- Choice activities
- Dynamical systems A
- Final defense
- Further educational activities - computer science and telematic skills
- Further skills valuable for the job market
- Intelligent systems
- Mathematical logic
- Models for biological systems
- Numerical methods and applications A
- Numerical solutions of PDE's A
- Statistics A
- Theoretical physics
- Topics in advanced analysis A
- Topics in advanced Geometry A