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    Corso di Laurea Magistrale in Data Science

    Corso di Laurea Magistrale in Data Science 

    Master of Science Programme in Data Science, 2 years, English language


    Duration: 2 years - 120 ECTS credits

    Reference professor:  prof. Rosanna Verde


    The Master of Science (MSc) Programme in Data Science at the University of Campania “Luigi Vanvitelli” offers the opportunity to graduates to deepen their knowledge of Statistics, Computer Science and Mathematics. The course, entirely delivered in English, is strongly connected to the research activities performed at the Department of Mathematics and Physics. 

    For data-driven problem-solving, Data Science integrates computational and statistical skills. This programme will provide students with the analytical skills they need to create complex technological solutions using contemporary computational approaches, with a focus on rigorous statistical reasoning.

    The programme combines an entry level of statistical and machine learning technique instruction with a variety of optional courses covering more advanced statistical computing and modeling knowledge.

    Students can choose among two specializations:

    i. Data Science for official statistics and business analytics;

    ii. Data Science for scientific applications.

    Students which choose the specialization “Data Science for official statistics and business analytics” will be awarded of the label European Master in Official Statistics (EMOS)”.  It is a shared initiative by Eurostat, the European Statistical System (ESS) and the European System of Central Banks (ESCB), which aims to include official statistics in master’s programme curricula, connect producers of official statistics and academia representatives across Europe and create a pool of highly skilled professional statisticians for recruitment in the ESS and the ESCB.

    The EMOS programme provides a preparation aimed at those wishing to operate in national and international agencies producing official statistics and, more generally, in all public or private companies.

    Further details on this opportunity are available at:


    Class Timetable 


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