Computational Mathematics, Learning, and Data Science 

2024 admission (40^o cycle) completed:  see Admission Site

Models, mathematics, statistics, data and algorithms are the foundations of our digital world. Computational methods and mathematical analysis are increasingly used for simulation, prediction, data evaluation, analysis, risk assessment, development and optimization, in virtually every field of Science,  including Chemistry, Medicine and Biology .

The PhD in “Computational Mathematics, Learning and Data Science ” aims at offering graduate students solid skills in Computational Mathematics, Computational Physics, Scientific Computing, Statistics, Optimization, Machine Learning, Data Sciences as well as an interdisciplinary view of Applied Mathematics, Physics and decision processes under uncertainty. The acquired methodological skills will be also used to answer scientific questions in the real world data. The program gives a solid theoretical and computational grounding for high level research in universities, international research institutions and industry.

This international PhD program is organized jointly with the Euler Institute of the Università della Svizzera Italiana (USI) and the Fondazione Bruno Kessler (FBK). It is also a multidisciplinary PhD program with Faculty from the Departments of Mathematics, Physics, Political Sciences, Brain and Behavioral Sciences of UniPV and the Fondazione Mondino IRCCS, the IMATI-CNR Institute and the National Institute of Nuclear Physics (INFN).