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MASTER’S DEGREE IN PHYSICS OF DATA

A new generation of Physicists

Developing methods and theories for Big Data analysis and addressing the challenges of the digital revolution: these are the objectives of the Master’s degree course in Physics of Data, aimed at training a new generation of physicists capable of combining advanced skills in physics with a solid background in Data Science and Machine Learning. As physics interprets complex phenomena that require the acquisition and processing of large amounts of data, there is a growing need to train experts who can also develop specific tools to analyze them. The course, entirely in English, includes mandatory internship activities for research initiation, to be carried out in research centers or private companies. Graduates with a Master’s degree in Physics of Data will acquire skills to describe and model complex data and systems using modern techniques, develop good problem-solving and teamwork abilities, and cultivate a strong interdisciplinary aptitude.

PROGRAM COORDINATOR

Samir Simon Suweis

BRANCH

DFA "Galileo Galilei" Padua

LANGUAGE

English

NOMINAL DURATION

2 Years (120 ECTS)

CLASS

LM-17 Physics

ACCESS

Open access with
admission requirement

TUITION FEES SCHOLARSHIP

Characteristics and objectives

The Master’s degree program is structured over four semesters and offers great flexibility in pursuing one’s interests. In addition to the mandatory common courses, it offers optional courses organized into six suggested paths: astrophysics and cosmology, fundamental physics, physics of matter, quantum physics, complex systems and interdisciplinary physics, machine learning and industrial applications. The specialized training involves applying acquired knowledge through original research projects, group reports on programs, and data analysis. Furthermore, an internship at a research facility or a private company is required, followed by the completion of a more extensive final thesis, which can also continue the internship project.