Study location	Italy, Padua
Type	Master's degree, full-time
Nominal duration	2 years (120 ECTS)
Study language	English
Awards	(Master's degree in Physics of Data)
Course code	SC2443/000ZZ/2018

Tuition fee	€2,739 per year For further information please visit: www.unipd.it/en/tuition-fees
Application fee	€30 one-time This fee is non-refundable.
Deposit	€204 one-time In order to accept your place at the University of Padua, the payment of the admission fee is required. This fee is non-refundable.

Entry qualification

Bachelor diploma (or equivalent) A minimum three-year undergraduate degree (or equivalent) is required, with proved skills in Physics and Mathematics. Additional entry requirements – Entry title and GPA Please verify country-based specific entry title and GPA requirements at the following link. The entry qualification documents are accepted in the following languages: English / Italian. You can often get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. You must take the original entry qualification documents with you when you finally go to the university. If you are admitted to the degree course, you will have to submit other documents including original and translated/legalised copies of your previous qualifications, etc. No legalised documents are required at application stage.

Language requirements	English B2 level (CEFR) or equivalent Please check out this link for the full list of accepted certificates, minimum scores and exemptions

More information	unipd.it/en/physics-data  physicsofdata.dfa.unipd.it

Overview

The Master’s degree provides new theoretical and computational tools to tackle the explosion of datasets within the physicist mindset. It combines advanced knowledge in the field of Physics with a high-level training in Data Science. The programme thus trains the new generation of data physicists, equipped with tools that will allow them to face the challenges that the digital revolution has brought in our society.

Programme structure

1st Year: Laboratory of Computational Physics; Management and Analysis of Physics Datasets; Theoretical Physics; Machine Learning; Statistical Mechanics of Complex Systems; Advanced Statistics for Physics Analysis; elective courses on advanced topics in modern Physics
2nd Year: Quantum Computing; elective courses on advanced topics in modern Physics and Engineering; Internship

Career opportunities

Graduates master tools for collecting, managing and analysing big data, and to translate their work into highly valuable information. Graduates work as professionals in research centres, internet companies, consulting companies, startups and high tech industries and public administrations.