Second cycle degree in

Physics of data

Class: LM-17 - Physics

Logo QS
Class LM-17 - Physics
Duration 2 years
Branch Padova
Language English
Tuition fees and scholarships
Programme coordinator MARCO ZANETTI
Access Open access with admission requirements
Reference structures Department of physics and astronomy, School of science

Next Calls for applications (international students) - A.Y. 2021/22:

  • 1st Call: 2 November 2020-2 February 2021
  • 2nd Call: 2 March-2 June 2021(non-EU)/2 September (EU) - APPLY NOW

Developing fundamental methods and techniques for Big Data analysis to face the challenges that the digital revolution has brought to our society: these are the goals of the course, which trains a new generation of physicists, capable of combining advanced knowledge in physics with high-level training in the new data science. While physics aims at interpreting natural phenomena whose complexity requires the collection, management and analysis of large amounts of data, the need to train professionals who also know how to develop methods and techniques for such analysis is growing. As a "data physicist" you will have advanced training in physics, mathematics and computer and calculation techniques, you may find employment in many different contexts, such as academic institutions, research centers, digital and consulting market companies, start-ups and high-tech industries.

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Characteristics and objectives
The program intends to build an academic and professional figure that combines advanced knowledge in the field of Physics with a 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 .

Occupational opportunities
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.

  Teaching list

1st Year BIOLOGICAL DATASETS FOR COMPUTATIONAL PHYSICS SUBNUCLEAR PHYSICS INFORMATION THEORY AND INFERENCE STRUCTURE OF MATTER COSMOLOGY RELATIVISTIC ASTROPHYSICS VISION AND COGNITIVE SERVICES NETWORK MODELLING MACHINE LEARNING THE PHYSICAL UNIVERSE SOLID STATE PHYSICS STATISTICAL MECHANICS OF COMPLEX SYSTEMS STATISTICAL MECHANICS NUCLEAR PHYSICS LABORATORY OF COMPUTATIONAL PHYSICS (MOD. B) MANAGEMENT AND ANALYSIS OF PHYSICS DATASET (MOD. A) MANAGEMENT AND ANALYSIS OF PHYSICS DATASET (MOD. B) ADVANCED STATISTICS FOR PHYSICS ANALYSIS LABORATORY OF COMPUTATIONAL PHYSICS (MOD. A) GENERAL RELATIVITY THEORETICAL PHYSICS OF THE FUNDAMENTAL INTERACTIONS THEORETICAL PHYSICS MODELS OF THEORETICAL PHYSICS LABORATORY OF COMPUTATIONAL PHYSICS (C.I.) MANAGEMENT AND ANALYSIS OF PHYSICS DATASET (C.I) 2nd Year QUANTITATIVE LIFE SCIENCE QUANTUM INFORMATION AND COMPUTING PHYSICS OF COMPLEX SYSTEMS ASTRO-STATISTICS AND COSMOLOGY COMPUTATIONAL ASTROPHYSICS DIGITAL SIGNAL PROCESSING GAME THEORY NETWORK SCIENCE NEURAL NETWORKS AND DEEP LEARNING LIFE DATA EPIDEMIOLOGY STAGE