Study Plan – Physics of Data

Master’s course

Study Plan

Description

Master's Course

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.

Class: LM-17 - Physics

Second cycle degree in Physics of data

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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

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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 .