The onset of big data has led to an explosion of datasets with a far more complex structure and beyond standard physics. In this program, we will provide new theoretical and computational tools to tackle this challenge within the physicist mindset.
The program intends to build an academic and professional figure that combines advanced knowledge in the field of Physics with high-level training in Data Science.
The modeling and the theoretical interpretation of complex natural phenomena from large amounts of data are at the core of the research in Physics. The Big Data revolution presents in this sense the challenges and opportunities for the physicist of today. In addition to the figure of Data Scientist, specialized purely in the analysis of large amounts of data, it is increasingly clear the need to also train figures able to develop the methods and techniques that are fundamental for such analysis - in this sense, we named the program of Physics of the Data.
Training in Physics, Mathematics and Computation is increasingly necessary to generate such innovation and development. The program will thus train a new generation of physicists, which we could define as "data physicists", equipped with tools that will allow them to face the challenges that the digital revolution has brought in our society.
- Laboratory of Computational Physics, Mod. A
- Management and analysis of physics datasets, Mod. A
- Theoretical Physics
- Machine Learning
- Elective course
- Laboratory of Computational Physics, Mod. B
- Management and analysis of physics datasets, Mod. B
- Statistical Mechanics of Complex Systems
- Advanced statistics for physics analysis
- Elective course
- Information Theory and Computation
- 4 Elective courses.
- Stage and Final Exam (30 CFU)
- Nuclear Physics
- Theoretical physics of the fundamental interactions
- Solid State Physics
- Statistical mechanics
- The physical universe
- General relativity
- Subnuclear Physics
- Structure of Matter
- Relativistic Astrophysics
- Quantitative Life Science
- Network modelling
- Computational NeuroScience
- Astro-statistics and cosmology
- Digital Signal Processing
- Game Theory
- Network Science
- Limit theorem for stochastic processes
- Life Data Epidemiology
- Big Data Ethics
- Non-verbal communication
All courses are credited with 6 CFU
Graduates will have jobs opportunity in Italy and abroad in:
- academic institutions
- research centers
- internet companies, consulting companies
- startups and high tech industries
- public administrations.
- Degree classification equivalent to at least 90/110
- 24 CFU in the following areas: FIS/01-08 which at least 12 in FIS/02 and 6 among FIS/03, FIS/04 o FIS/05; 24 CFU in MAT/01-09.
- a careful analysis of the curriculum, in particular, the contents of the courses in Physics and Mathematics
B2 level of English (reading and listening); no formal certificate is needed.
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Last updated September 1, 2019
This course is
Fees for a.y. 2018/19. Fees can be significantly waived based on your “Equivalent Economic Status Index – ISEE”.