Nowadays, in order to make innovations in an advanced scientific and technological context (like e.g. system biology, neuroscience, computation, network engineering, web economy, financial markets modeling, novel materials), it is mandatory to master the most advanced concepts and methodologies for complex systems. This is why we have set up a Master of Science program, with two parallel educational tracks, which aims to offer the best techniques needed to attack interdisciplinary problems.
The Master of Science programme is concerned with the study of four discipline areas:
Statistical and Quantum physics
- you will develop a solid background on concepts and methods of statistical and quantum physics, with a particular focus on systems with many degrees of freedom and their applications to novel and artificial materials, and you will receive and overview of the most advanced techniques in experimental physics and data analysis.
Applications to Engineering
- you will study the dynamics of systems, in particular non-linear and fluid dynamics problems. You will also learn about the phenomena of chaos and turbulence, the main physical-chemical phenomena of soft matter, in liquid crystals, polymers, membranes, gels, granular materials.
- you will learn about computational complexity and study the Numerical methods and simulations, both deterministic and stochastic, as well as the main algorithms for combinatorial optimization, statistic inference, machine learning and their applications.
- you will learn about modelling and analysis of complex problems in the field of biology, analysed in the framework of computational statistical physics. You will gain the necessary skills and knowledge in the areas of neuroscience, molecular and cellular biophysics, and bioinformatics.
Many courses rely on advanced mathematical methods to which specific sections of courses are devoted. The fourth semester will offer several short courses on advanced interdisciplinary research topics.
Graduates from this master program will be experts in modeling and simulation of complex systems. They can look forward to careers as researchers in development labs or computing centers, senior software engineers, biological physicists, financial analysts and more. Thanks to their strong methodological skills, they will also profit of new career opportunities offered by the most advanced companies and research institutes operating in multidisciplinary contexts.
Graduates can access PhD programs in physics and related subjects, in particular those encountered during the master program (for instance information engineering, or biology at the cellular and molecular level, especially computational biology and bioinformatics). Finally, graduates from both the International and National track can obtain a master degree in 'Nanotechnologies for ICTs' at Politecnico di Torino through a small amount of integrative exams (13.33 kB).