Presentation

Motivations

Nowadays, in order to make innovations in an advanced scientific and technological context Graphene Protein Synapsis AI DNA Labirinth Nanotube Interference - new materials, nanoscience, system biology, neuroscience, computation, network engineering, web economy, financial markets modeling - 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.

 

Topics

The Master of Science programme is concerned with the study of the following topics:

Modern physics

  • A solid background on concepts and methods of statistical and quantum solid state physics;  
  • Connections with information theory (both classical and quantum) and biophysics;
  • An overview on the most advanced techniques in experimental physics and data analysis.

Information technology

  • State-of-the-art of numerical methods and simulations, both deterministic and stochastic, and their relations with statistical physics;
  • Main algorithms for combinatorial optimization, statistical inference, machine learning and their applications in bioinformatics.

Engineering applications

  • Nonlinear and fluid dynamics problems;
  • soft matter (liquid crystals, polymers, membranes, gels, granular matter).

Biological systems

  • Problems in cellular systems biology, in neuroscience and molecular biology analyzed in the framework of computational statistical physics.

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.

 

Goals

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). Eventually, they can get a master degree in Nanotechnologies for ICTs at Politecnico di Torino through a small amount of integrative exams application/pdf (31.35 kB) [confirmed for the International track, to be confirmed for the National track].