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Big Data Analytics & Social Mining

Master Secondo Livello

 

 

Durata: annuale
Crediti: 60
Scadenza domanda di ammissione: presentazione domande ammissione dal 30/06/2017 al 17/11/2017
Data Inizio: 25/01/2018
Link sito web: http://www.masterbigdata.it

Obiettivi del Master

The master is aimed at training "data scientists", professionals with a mix of multidisciplinary skills to manage big data and extract knowledge from them, to support decision-making and innovative services. Data scientists also manage the ethical and legal implications of data science. The training of data scientists therefore requires the integration of technological, analytical, narrative and ethical skills, as well as knowledge from different disciplines: data mining and machine learning, data analysis and visualization, networks science, computational social science, ethics, data journalism. It is also essential to stimulate students to the creative use of data sources, leaving plenty of room for training in concrete projects. The master, at its 4th edition, has been the first in Italy of its kind, the only one open to students with every background, and has a broad board of partner companies and institutions. Students evaluate the quality of each course by questionnaires.

Sbocchi professionali

these data to solve the problems of society and the economy. However, turning the oceans of messy data into knowledge is a difficult task and the number of skilled professionals able to meet the challenge is absolutely insufficient. All observers agree that the abundance of data coexists with profound shortage of data scientists, a professional that combines "the skills of computer, statistical and narrator to extract the nuggets of gold hidden under mountains of data"; the job that The Economist defines "the sexiest job of the 21st century". The data scientists is one of the most required professionals; a report by McKinsey expected for 2018, in the US alone, a shortage of 190,000 skilled analysts of Big Data and 1.5 million managers able to use the results of the analysis to take effective.
80% of students of the previous editions of the master work in the context of big data. Students of the edition 2016/2017 got a position as data scientist before the final graduation.

Costo

3500 euro cosi suddivisi: prima rata 1400 scadenza 15/01/2018 - seconda rata 1050 scadenza 15/04/2018 - terza rata 1050 scadenza 15/06/2018

Posti disponibili

posti disponibili da 15 fino a 30
non sono ammessi uditori

Requisiti di ammissione 

lauree vecchio ordinamento

  • -- QUALSIASI LAUREA VECCHIO ORDINAMENTO

lauree magistrali

  • -- QUALSIASI LAUREA MAGISTRALE

lauree specialistiche

  • -- QUALSIASI LAUREA SPECIALISTICA

 

Indietro


 

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