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ABOUT DATA SCIENCE AND
SCIENTIFIC COMPUTING

The Master degree in Data Science and Scientific Computing (DSSC) aims to train professionals of the future: experts that are highly requested because of the digitalization of the society and the evolution to industry 4.0.

Curriculum: Artificial Intelligence and Machine Learning

The Artificial Intelligence and Machine Learning curriculum is devoted to train expert in modern Artificial Intelligence techniques, in particular Machine Learning techniques. You will learn skills in machine learning, artificial intelligence, statistics, modelling, high performance computing and management of databases for big data. 

Curriculum: Data Science and Applications

The curriculum in Data Science and Applications is devoted to train experts in the management and analysis of data, particularly of Big Data. You will learn skills in statistics, modelling, data analytics, programming, high performance computing and management of databases for big data. 

Curriculum: Computational Science and Engineering

The curriculum in Computational Science and Engineering is devoted to train experts in the simulation-based science and engineering. You will learn skills in mathematical modelling, numerical methods and simulation, fundamentals of data analytics, programming, high performance computing and scientific programming.

There are scholarships available to fully or partially support some students.

The master program in Data Science and Scientific Computing will provide some enrolled students with partial and full support scholarship. Scholarships are funded by private companies and research institutions.

News

14/09/2020

Lecture plan for pre-courses and regular courses is out

The lecture plan for I semester is out at this page.

10/09/2020

Results for the second selection are out

The results of the second selection are (yet unofficially) out at this page: https://dssc.units.it/selections

How to Apply

Call for application for 2020-2021 is open until May 14, 2020. Check the official call.