{"id":155474,"date":"2026-10-07T13:24:14","date_gmt":"2026-10-07T13:24:14","guid":{"rendered":"https:\/\/www.hunimed.eu\/?page_id=155474"},"modified":"2026-10-20T08:20:35","modified_gmt":"2026-10-20T08:20:35","slug":"struttura-del-programma-daihs","status":"publish","type":"page","link":"https:\/\/www.hunimed.eu\/it\/struttura-del-programma-daihs\/","title":{"rendered":"Struttura del Programma"},"content":{"rendered":"<style>.kadence-column155474_0c7155-cf > .kt-inside-inner-col{padding-bottom:32px;}.kadence-column155474_0c7155-cf > .kt-inside-inner-col,.kadence-column155474_0c7155-cf > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column155474_0c7155-cf > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column155474_0c7155-cf > .kt-inside-inner-col{flex-direction:column;}.kadence-column155474_0c7155-cf > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column155474_0c7155-cf > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column155474_0c7155-cf{position:relative;}@media all and (max-width: 1024px){.kadence-column155474_0c7155-cf > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column155474_0c7155-cf > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column155474_0c7155-cf\"><div class=\"kt-inside-inner-col\"><style>.kb-row-layout-id155474_f76aee-22 > .kt-row-column-wrap{align-content:end;}:where(.kb-row-layout-id155474_f76aee-22 > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:end;}.kb-row-layout-id155474_f76aee-22 > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-md, 2rem);padding-top:var(--global-kb-spacing-sm, 1.5rem);padding-bottom:var(--global-kb-spacing-sm, 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1fr);}.kb-row-layout-id155474_836069-89 > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id155474_836069-89 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}@media all and (max-width: 767px){.kb-row-layout-wrap.wp-block-kadence-rowlayout.kb-row-layout-id155474_836069-89{margin-bottom:var(--global-kb-spacing-md, 2rem);}.kb-row-layout-id155474_836069-89 > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id155474_836069-89 alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-1-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column155474_01f4b7-f8 > .kt-inside-inner-col,.kadence-column155474_01f4b7-f8 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column155474_01f4b7-f8 > 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.wp-block-kadence-advancedheading.kt-adv-heading155474_376ca4-be[data-kb-block=\"kb-adv-heading155474_376ca4-be\"]{margin-bottom:0px;font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading155474_376ca4-be mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading155474_376ca4-be[data-kb-block=\"kb-adv-heading155474_376ca4-be\"] mark.kt-highlight{font-style:normal;background-image:linear-gradient(90deg,rgb(0,121,83) 0%,rgb(0,223,153) 84%);-webkit-background-clip:text;background-clip:text;-webkit-text-fill-color:transparent;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading155474_376ca4-be img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading155474_376ca4-be[data-kb-block=\"kb-adv-heading155474_376ca4-be\"] img.kb-inline-image{width:150px;vertical-align:baseline;}@media all and (max-width: 767px){.wp-block-kadence-advancedheading.kt-adv-heading155474_376ca4-be, .wp-block-kadence-advancedheading.kt-adv-heading155474_376ca4-be[data-kb-block=\"kb-adv-heading155474_376ca4-be\"]{font-size:var(--global-kb-font-size-lg, 2rem);}}<\/style>\n<h1 class=\"kt-adv-heading155474_376ca4-be wp-block-kadence-advancedheading has-black-color has-text-color\" data-kb-block=\"kb-adv-heading155474_376ca4-be\">Struttura del<mark true=\"true\" class=\"kt-highlight\"> Programma<\/mark><\/h1>\n<\/div><\/div>\n\n<\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group is-style-layout-50-50-padding is-nowrap is-layout-flex wp-container-core-group-is-layout-8f761849 wp-block-group-is-layout-flex\">\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<p class=\"is-style-default has-grey-dark-color has-text-color has-link-color has-m-font-size wp-elements-1 wp-block-paragraph\">Il piano di studi del corso di Laurea Magistrale in <strong>Data Analytics and Artificial Intelligence in Health Sciences (DAIHS)<\/strong> \u00e8 finalizzato allo sviluppo di un profilo culturale e professionale in grado di contribuire direttamente al miglioramento della vita dei pazienti e delle organizzazioni sanitarie.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<ul class=\"wp-block-list punti-azzurri has-custom-css wp-custom-css-4acefec0\">\n<li class=\"link-azzurro has-custom-css has-grey-dark-color has-text-color has-link-color has-m-font-size wp-elements-2 wp-custom-css-2759684f\"><strong><a href=\"#obj\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-pantone-7468-c-color\">Obiettivi Formativi<\/mark><\/a><\/strong><\/li>\n\n\n\n<li class=\"link-azzurro has-custom-css has-grey-dark-color has-text-color has-link-color has-m-font-size wp-elements-3 wp-custom-css-b22a24f2\"><strong><a href=\"#study\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-pantone-7468-c-color\">Piano di Studi<\/mark><\/a><\/strong><\/li>\n\n\n\n<li class=\"link-azzurro has-custom-css has-grey-dark-color has-text-color has-link-color has-m-font-size wp-elements-4 wp-custom-css-b6682608\"><strong><a href=\"#jou\"><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-pantone-7468-c-color\">Percorso Formativo<\/mark><\/a><\/strong><\/li>\n<\/ul>\n<\/div><\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group alignfull is-style-s-section-padding\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<hr class=\"wp-block-separator alignfull has-alpha-channel-opacity is-style-thin\"\/>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-group is-style-default\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<p class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-5 wp-block-paragraph\">Per raggiungere questo obiettivo, il piano di studi \u00e8 stato progettato integrando i settori scientifico-disciplinari propri della classe di Laurea Magistrale in Data Science con quelli dell&#8217;ambito medico-biologico. Questo approccio consente di combinare una solida formazione avanzata in programmazione, statistica, Machine Learning e Intelligenza Artificiale con una solida conoscenza della biologia, della genetica, dell&#8217;etica e delle normative specifiche del settore sanitario.<\/p>\n\n\n\n<p class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-6 wp-block-paragraph\">Il corso ha una durata di <strong>due anni <\/strong>e si svolge interamente in <strong>lingua inglese<\/strong>. Il corpo docente del corso DAIHS comprende docenti ed esperti internazionali con una significativa esperienza professionale maturata all&#8217;estero.<\/p>\n\n\n\n<p class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-7 wp-block-paragraph\">Gli studenti avranno inoltre l&#8217;opportunit\u00e0 di svolgere esperienze internazionali nell&#8217;ambito dello sviluppo della tesi di laurea.<\/p>\n\n\n\n<p class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-8 wp-block-paragraph\">Il <strong>primo anno<\/strong> \u00e8 principalmente dedicato all&#8217;acquisizione delle conoscenze necessarie in programmazione avanzata, statistica, Machine Learning e Intelligenza Artificiale e, per queste caratteristiche, si svolge prevalentemente presso l&#8217;Universit\u00e0 Bocconi.<\/p>\n\n\n\n<p class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-9 wp-block-paragraph\">Il <strong>secondo anno<\/strong> si svolge presso Humanitas University e permette agli studenti di immergersi nella realt\u00e0 di un grande ospedale universitario, lavorando su dati biologici e clinici.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-section-line is-style-thin margin-top-xxl margin-bottom-xxl\"\/>\n\n\n\n<h2 id=\"obj\" class=\"wp-block-heading\"><strong><strong>Obiettivi Formativi<\/strong><\/strong><\/h2>\n\n\n\n<p class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-10 wp-block-paragraph\">La Laurea Magistrale in <strong>Data Analytics and Artificial Intelligence in Health Sciences<\/strong> mira a fornire agli studenti conoscenze teoriche e pratiche per comprendere e applicare metodi di Intelligenza Artificiale e Machine Learning, tenendo conto della complessit\u00e0 dei dati sanitari, all&#8217;interno di strutture ospedaliere e territoriali, nonch\u00e9 di istituti di ricerca clinica.<\/p>\n\n\n\n\n<div class=\"wp-block-hunimed-notices-block hunimed-notices-block is-style-bg-highlight-without-padding margin-bottom-xxxxxl\" style=\"--hunimed-notice-title-bg:#007394;--hunimed-notice-title-color:#007394;--hunimed-notice-border-color:#007394\"><div class=\"notice-content\">\n<div class=\"wp-block-hunimed-vertical-highlights hunimed-vertical-highlights-block faq-mode is-style-no-margin-border\" style=\"--accent-color:#007394\" data-faq-mode=\"true\" data-faq-expand-text=\"Show\" data-faq-collapse-text=\"Hide\" data-faq-expand-all=\"false\" data-faq-initially-expanded=\"false\" data-faq-expand-first-item=\"false\"><div class=\"sections-container\">\n<div class=\"vertical-highlights-section has-custom-css wp-custom-css-bbdc6760\" style=\"--section-icon-size:24px\"><div class=\"section-item\"><div class=\"section-content\"><div class=\"section-header\"><h4>Scopri gli obiettivi<\/h4><\/div><div class=\"content\">\n<ul class=\"wp-block-list punti-azzurri has-custom-css wp-custom-css-7b253b59\">\n<li class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-11\">Conoscenze relative agli aspetti legali ed etici connessi alla gestione e alla tutela della privacy e dei dati sensibili, al fine di comprendere i limiti e le condizioni previsti dalla normativa<\/li>\n\n\n\n<li class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-12\">Una solida conoscenza dell&#8217;inferenza e della modellazione statistica, nonch\u00e9 dei principi e dei metodi del Machine Learning<\/li>\n\n\n\n<li class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-13\">Conoscenze approfondite di programmazione, algoritmi, database, architetture e sviluppo di software per l&#8217;elaborazione di dataset sanitari di piccole e grandi dimensioni<\/li>\n\n\n\n<li class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-14\">Una formazione approfondita sulle nuove tecniche di Intelligenza Artificiale applicate a modelli predittivi e diagnostici<\/li>\n\n\n\n<li class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-15\">Una formazione approfondita in altri ambiti specifici e rilevanti, quali l&#8217;elaborazione del linguaggio naturale (<em>Natural Language Processing<\/em>), l&#8217;inferenza causale e la modellazione computazionale<\/li>\n\n\n\n<li class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-16\">Conoscenze nell&#8217;ambito biologico e sanitario, con riferimento alle discipline biologiche, quali biologia e genetica, e alle discipline medico-sanitarie, tra cui anatomia umana, fisiologia e patologia, aspetti di medicina clinica, diagnostica per immagini e radiologia<\/li>\n\n\n\n<li class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-17\">Conoscenze di epidemiologia per lo studio dei modelli di malattia, l&#8217;analisi dei dati clinici e la valutazione dell&#8217;impatto dell&#8217;Intelligenza Artificiale e del Machine Learning sulla salute pubblica, su specifiche popolazioni di pazienti e sui singoli individui<\/li>\n\n\n\n<li class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-18\">Conoscenze del sistema sanitario e del funzionamento delle strutture e dei contesti assistenziali, nonch\u00e9 delle relative banche dati sanitarie<\/li>\n\n\n\n<li class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-19\">Capacit\u00e0 di problem solving, unite alle competenze analitiche necessarie per individuare le componenti informatiche e statistiche utili alla risoluzione di problematiche proprie dell&#8217;ambito medico-sanitario, con particolare attenzione alle esigenze specifiche dell&#8217;assistenza al paziente<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-section-line is-style-thin margin-top-xxl margin-bottom-xxl\"\/>\n\n\n\n<h2 id=\"study\" class=\"wp-block-heading margin-bottom-xxxxl\"><strong>Piano di Studio<\/strong><\/h2>\n\n\n\n<div class=\"wp-block-group is-style-default\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group is-style-default\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<p class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-20 wp-block-paragraph\">Il primo anno \u00e8 principalmente dedicato all&#8217;acquisizione delle conoscenze necessarie in statistica avanzata, programmazione, Machine Learning e Intelligenza Artificiale e si svolge prevalentemente presso l&#8217;Universit\u00e0 Bocconi.<\/p>\n\n\n\n<p class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-21 wp-block-paragraph\">La parte finale del primo anno e l&#8217;intero secondo anno completano la formazione principalmente presso Humanitas University, attraverso un&#8217;esperienza di apprendimento immersiva e pratica che comprende insegnamenti integrati obbligatori, esami a scelta, seminari, attivit\u00e0 pratiche ed esperienze di ricerca indipendente.<\/p>\n\n\n\n<p class=\"margin-bottom-xxl has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-22 wp-block-paragraph\">Gli studenti avranno inoltre l&#8217;opportunit\u00e0 di vivere esperienze internazionali nell&#8217;ambito dello sviluppo della tesi e dello svolgimento del tirocinio.<\/p>\n\n\n\n<div class=\"wp-block-hunimed-tabs-content hunimed-tabs-content-block is-style-default\"><div class=\"tabs-container\">\n<div class=\"wp-block-hunimed-tabs-content-tab tabs-content-tab\"><div class=\"tab-item\" data-tab-title=\"Primo Anno\"><div class=\"tab-header\"><button class=\"tab-nav\" role=\"tab\" aria-selected=\"false\" style=\"--tab-color:#007394\"><span class=\"tab-title\">Primo Anno<\/span><\/button><\/div><div class=\"tab-content\" role=\"tabpanel\" aria-hidden=\"true\">\n<figure class=\"wp-block-table tabella-azzurra has-custom-css wp-custom-css-7740273f\"><table><thead><tr><th>ATTIVIT\u00c0 FORMATIVA<\/th><th>CREDITI<\/th><th>UNIVERSIT\u00c0<\/th><\/tr><\/thead><tbody><tr><td>Advanced Statistics for Health Sciences<\/td><td>8<\/td><td>Universit\u00e0 Bocconi<\/td><\/tr><tr><td>Advanced Computer Programming<\/td><td>9<\/td><td>Universit\u00e0 Bocconi<\/td><\/tr><tr><td>Artificial Intelligence \u2013 Module 1<\/td><td>6<\/td><td>Universit\u00e0 Bocconi<\/td><\/tr><tr><td>Privacy, Ethics and Regulations in the Application of AI \u2013 Seminar<\/td><td>2<\/td><td>Universit\u00e0 Bocconi<\/td><\/tr><tr><td>Machine Learning<\/td><td>8<\/td><td>Universit\u00e0 Bocconi<\/td><\/tr><tr><td>Artificial Intelligence \u2013 Module 2<\/td><td>6<\/td><td>Universit\u00e0 Bocconi<\/td><\/tr><tr><td>Data Systems in Healthcare<\/td><td>6<\/td><td>Universit\u00e0 Bocconi<\/td><\/tr><tr><td>1 elective course out of:<br>Causal Inference<br>Natural Language Processing<br>Dynamic Modelling for Complex Systems<\/td><td>6<\/td><td>Universit\u00e0 Bocconi<\/td><\/tr><tr><td>Biology and Genetics<\/td><td>4<\/td><td>Humanitas University<\/td><\/tr><tr><td>Data Science for Clinics<\/td><td>8<\/td><td>Humanitas University<\/td><\/tr><tr><td>Clinical Epidemiology<\/td><td>10<\/td><td>Humanitas University<\/td><\/tr><tr><td><strong>TOTALE I ANNO<\/strong><\/td><td><strong>73<\/strong><\/td><td><\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-hunimed-tabs-content-tab tabs-content-tab\"><div class=\"tab-item\" data-tab-title=\"Secondo Anno\"><div class=\"tab-header\"><button class=\"tab-nav\" role=\"tab\" aria-selected=\"false\" style=\"--tab-color:#007394\"><span class=\"tab-title\">Secondo Anno<\/span><\/button><\/div><div class=\"tab-content\" role=\"tabpanel\" aria-hidden=\"true\">\n<figure class=\"wp-block-table tabella-azzurra has-custom-css wp-custom-css-bea3a06e\"><table><thead><tr><th>ATTIVIT\u00c0 FORMATIVA<\/th><th>CREDITI<\/th><th>UNIVERSIT\u00c0<\/th><\/tr><\/thead><tbody><tr><td>Next Generation Sequencing and Bioinformatics<\/td><td>7<\/td><td>Humanitas University<\/td><\/tr><tr><td>Applications of Artificial Intelligence in Health Sciences<\/td><td>10<\/td><td>Humanitas University<\/td><\/tr><tr><td>1 elective course out of:<br>&#8211; AI and Visualisation-Navigation Techniques in Surgery and Endoscopy<br>&#8211; AI Applied to Imaging (radiology and human pathology)<br>&#8211; Clinical Decision System and AI<\/td><td>6<\/td><td>Humanitas University<\/td><\/tr><tr><td>Guidelines for Quality Assessment and Reporting in AI Publication \u2013 Seminar<\/td><td>2<\/td><td>Humanitas University<\/td><\/tr><tr><td>Foreign Language (1st sem)<\/td><td>2<\/td><td>Humanitas University<\/td><\/tr><tr><td>Internship<\/td><td>6<\/td><td>Humanitas University<\/td><\/tr><tr><td>Thesis<\/td><td>14<\/td><td>Humanitas University<\/td><\/tr><tr><td><strong>TOTALE II ANNO<\/strong><\/td><td><strong>47<\/strong><\/td><td><\/td><\/tr><tr><td><strong>TOTALE CREDITI<\/strong><\/td><td><strong>120<\/strong><\/td><td><\/td><\/tr><\/tbody><\/table><\/figure>\n<\/div><\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-section-line is-style-thin margin-top-xxl margin-bottom-xxl\"\/>\n\n\n\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h2 id=\"jou\" class=\"wp-block-heading margin-bottom-xxxxl\"><strong>Percorso Formativo<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-23\"><strong><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-pantone-7468-c-color\">Primo Anno<\/mark><\/strong><\/h3>\n\n\n\n<div class=\"wp-block-group is-style-default\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group margin-bottom-xl\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-group margin-bottom-xxxl\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<p class=\"has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-24 wp-block-paragraph\">Il primo anno si svolge principalmente presso l&#8217;Universit\u00e0 Bocconi, con un ultimo bimestre presso Humanitas University. Questo consente agli studenti di acquisire le conoscenze fondamentali e di base sia nell&#8217;ambito della data science sia in quello medico-biologico.<\/p>\n\n\n\n<p class=\"has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-25 wp-block-paragraph\">Il primo anno del corso \u00e8 articolato in quattro bimestri:<\/p>\n\n\n\n<ul class=\"wp-block-list punti-azzurri has-custom-css wp-custom-css-215fcd03\">\n<li class=\"has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-26\"><strong>1\u00b0&nbsp;bimestre \u2013 Universit\u00e0 Bocconi<\/strong><br>Insegnamenti di base di <strong>Statistica avanzata per le Scienze della Salute<\/strong> e <strong>Programmazione informatica avanzata<\/strong>.<\/li>\n\n\n\n<li class=\"has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-27\"><strong>2\u00b0&nbsp;bimestre \u2013 <strong>Universit\u00e0 Bocconi<\/strong><\/strong><br>Insegnamenti di base di <strong>Intelligenza Artificiale<\/strong> e <strong>Machine Learning<\/strong>, con un focus specifico sugli aspetti legati alla privacy, all&#8217;etica e alla normativa nel settore sanitario.<\/li>\n\n\n\n<li class=\"has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-28\"><strong>3\u00b0&nbsp;bimestre \u2013 <strong>Universit\u00e0 Bocconi<\/strong><\/strong><br>Questo bimestre approfondisce le competenze tecniche fondamentali acquisite nei primi due bimestri, con un&#8217;ulteriore formazione nell&#8217;ambito dell&#8217;Intelligenza Artificiale e sul funzionamento dei sistemi di gestione dei dati in ambito sanitario. Gli studenti avranno inoltre l&#8217;opportunit\u00e0 di scegliere tra diversi insegnamenti a scelta, dedicati, tra gli altri, ai temi dell&#8217;<strong>inferenza causale<\/strong>, dell&#8217;<strong>elaborazione del linguaggio naturale<\/strong> e della <strong>modellazione computazionale<\/strong>.<\/li>\n\n\n\n<li class=\"has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-29\"><strong>4\u00b0<sup>&nbsp;<\/sup>bimestre \u2013 Humanitas University<\/strong><br>Focus sulle conoscenze in ambito <strong>biologico e clinico<\/strong>.<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-30\"><strong><mark style=\"background-color:rgba(0, 0, 0, 0)\" class=\"has-inline-color has-pantone-7468-c-color\">Secondo Anno<\/mark><\/strong><\/h3>\n\n\n\n<p class=\"has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-31 wp-block-paragraph\">L&#8217;intero secondo anno si svolge presso Humanitas University, dove gli studenti seguiranno ulteriori insegnamenti e potranno confrontarsi con problematiche proprie della realt\u00e0 di un grande ospedale universitario, lavorando su dati biologici e clinici. Insegnamenti, seminari e attivit\u00e0 di laboratorio sono incentrati sull&#8217;applicazione di tecnologie avanzate alle scienze cliniche e biologiche.<\/p>\n\n\n\n<p class=\"has-grey-dark-color has-text-color has-link-color has-sm-font-size wp-elements-32 wp-block-paragraph\">Il secondo anno consente agli studenti di <strong>personalizzare il proprio percorso<\/strong> attraverso esperienze di apprendimento pratico, quali insegnamenti a scelta, un tirocinio e la tesi di laurea.<\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Struttura del Programma Il piano di studi del corso di Laurea Magistrale in Data Analytics and Artificial Intelligence in Health Sciences (DAIHS) \u00e8 finalizzato allo sviluppo di un profilo culturale e professionale in grado di contribuire direttamente al miglioramento della vita dei pazienti e delle organizzazioni sanitarie. Per raggiungere questo obiettivo, il piano di studi [&hellip;]<\/p>\n","protected":false},"author":24,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","footnotes":""},"class_list":["post-155474","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Struttura del Programma - Hunimed<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.hunimed.eu\/it\/struttura-del-programma-daihs\/\" \/>\n<meta property=\"og:locale\" content=\"it_IT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Struttura del Programma - Hunimed\" \/>\n<meta property=\"og:description\" content=\"Struttura del Programma Il piano di studi del corso di Laurea Magistrale in Data Analytics and Artificial Intelligence in Health Sciences (DAIHS) \u00e8 finalizzato allo sviluppo di un profilo culturale e professionale in grado di contribuire direttamente al miglioramento della vita dei pazienti e delle organizzazioni sanitarie. 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