{"id":15569,"date":"2020-12-04T09:07:10","date_gmt":"2020-12-04T08:07:10","guid":{"rendered":"https:\/\/tls.giangocomunicazione.it\/master-di-ii-livello-in-data-science-and-statistical-learning-al-via-il-bando\/"},"modified":"2020-12-04T09:07:10","modified_gmt":"2020-12-04T08:07:10","slug":"master-di-ii-livello-in-data-science-and-statistical-learning-al-via-il-bando","status":"publish","type":"post","link":"https:\/\/www.toscanalifesciences.org\/it\/news-e-eventi\/master-di-ii-livello-in-data-science-and-statistical-learning-al-via-il-bando\/","title":{"rendered":"Master di II livello in Data Science and Statistical Learning: al via il bando"},"content":{"rendered":"<p>E&#8217; aperto il bando per il <strong>Master di II livello in Data Science and Statistical Learning (MD2SL) <\/strong>promosso dal <strong>Florence Center for Data Science<\/strong> per il tramite del Dipartimento di Statistica, Informatica, Applicazioni (DISIA) \u201cG. Parenti\u201d dell\u2019<strong><a href=\"https:\/\/www.unifi.it\/p11863.html#md2sl\">Universit\u00e0 degli Studi di Firenze<\/a><\/strong> e dalla<strong> <a href=\"https:\/\/md2sl.imtlucca.it\/\">Scuola IMT Alti Studi Lucca<\/a>.<\/strong><\/p>\n<p>Il <strong>master MD2SL<\/strong> intende formare figure professionali caratterizzate da una profonda conoscenza teorica degli <strong>strumenti statistici, informatici e computazionali pi\u00f9 avanzat<\/strong>i, capaci di utilizzare e valutare criticamente le potenzialit\u00e0 dei diversi metodi per estrapolare adeguate informazione dalla crescente mole di dati disponibile in diversi ambiti applicativi, in particolare alle applicazioni in ambito economico-manageriale e sanitario, fornendo risposte a rilevanti quesiti di ricerca e favorendo l\u2019innovazione.<\/p>\n<p>Il <strong>profilo professionale<\/strong> in uscita \u00e8 un data scientist:<\/p>\n<ul>\n<li>in possesso di una conoscenza approfondita delle metodologie avanzate di statistica e informatica;<\/li>\n<li>in possesso di una conoscenza applicata dei diversi strumenti della Data Science;<\/li>\n<li>in grado di comunicare efficacemente con soggetti privi di background tecnico sui metodi propri della Data Science.<\/li>\n<\/ul>\n<p>In particolare, il master fornisce gli strumenti metodologici indispensabili per il supporto dei processi decisionali nei settori relativi a economia, business e medico-sanitario.<\/p>\n<p><strong>Co<\/strong><strong>mpetenze in uscita<\/strong><br \/>\nAl termine del percorso formativo, i partecipanti avranno acquisito:<\/p>\n<ul>\n<li>una conoscenza delle pi\u00f9 avanzate metodologie di s<strong>tatistica, informatica, ingegneria e intelligenza artificiale<\/strong>;<\/li>\n<li>la capacit\u00e0 di raccogliere i <strong>dati rilevanti<\/strong>;<\/li>\n<li>la capacit\u00e0 di <strong>strutturare, pulire e analizzare ampie fonti di dati<\/strong>;<\/li>\n<li>la capacit\u00e0 di organizzare, analizzare e valutare i risultati a supporto dei <strong>processi decisionali<\/strong>;<\/li>\n<li>solide capacit\u00e0 <strong>comunicative e di visualizzazione<\/strong>.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p><strong>Sbocchi professionali<\/strong><br \/>\nCome <strong>data analyst<\/strong> nel settore pubblico e privato: industria farmaceutica, istituti bancari, industria dell&#8217;energia, istituti finanziari, assicurazioni, centri di ricerca, organizzazioni internazionali, amministrazioni pubbliche, ospedali, autorit\u00e0 locali, etc.<\/p>\n<p><strong>Programmi di dottorato<\/strong> in linea con i temi trattati, sia in Italia che all&#8217;estero.<\/p>\n<p><strong>Il programma del master prevede:<\/strong><\/p>\n<p><strong>400 ore<\/strong> di didattica frontale (lezioni frontali, laboratori e testimonianze di esperti del settore)<\/p>\n<p><strong>18 ore<\/strong> di seminari<\/p>\n<p><strong>225 ore<\/strong> di tirocinio formativo<\/p>\n<p>obbligo di frequenza pari al <strong>75%<\/strong> del monte ore complessivo<\/p>\n<p><strong>Orario<\/strong><br \/>\nDidattica frontale e seminari si svolgeranno in presenza, a distanza o in modalit\u00e0 mista in relazione all\u2019evoluzione dell\u2019emergenza epidemiologica da Covid-19, per un totale di 1<strong>6 ore settimanali<\/strong> incluso il sabato.\u00a0<\/p>\n<p><strong>Sedi &#8211; <\/strong>Le attivit\u00e0 didattiche in presenza si svolgono presso:<\/p>\n<ol>\n<li>Dipartimento di Statistica, Informatica, Applicazioni \u201cG. Parenti\u201d &#8211; viale Morgagni, 59 &#8211; Firenze<\/li>\n<li>Centro Didattico Morgagni &#8211; viale Morgagni, 40 &#8211; Firenze<\/li>\n<li>Scuola IMT Alti Studi Lucca &#8211; piazza S. Francesco, 19 &#8211; Lucca<\/li>\n<\/ol>\n<p><strong>Durata: <\/strong>12 mesi (febbraio 2021 &#8211; gennaio 2022). L\u2019inizio delle lezioni \u00e8 previsto per il giorno 15 febbraio 2021.<\/p>\n<p><strong>Date e scadenze importanti<\/strong><br \/>\n<strong>11 gennaio 2021<\/strong> &#8211; ore 13:00: scadenza per la presentazione della domanda di partecipazione<\/p>\n<p><strong>18 gennaio 2021<\/strong> &#8211; ore 9:30: colloquio di selezione in lingua inglese a distanza<\/p>\n<p><strong>25 gennaio 2021<\/strong>: pubblicazione della graduatoria degli ammessi<\/p>\n<p><strong>8 febbraio 2021<\/strong> &#8211; ore 13:00: scadenza per l&#8217;iscrizione al master<\/p>\n<p>Link al bando <strong><a href=\"https:\/\/www.unifi.it\/p11863.html#md2sl\">qui.<\/a><\/strong>\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"<p>E&#8217; aperto il bando per il Master di II livello in Data Science and Statistical Learning (MD2SL) promosso dal Florence&#8230;<\/p>\n","protected":false},"author":1,"featured_media":15570,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[9],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.2 - 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