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<!doctype html> <html class="no-js" xml:lang="en" lang="en" dir="ltr"> <head> <meta http-equiv="X-UA-Compatible" content="IE=Edge" /> <title>Health Data Science (MS) | UC San Francisco</title> <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /> <link rel="search" type="application/opensearchdescription+xml" href="/search/opensearch.xml" title="Catalog" /> <meta name="viewport" content="width=device-width, initial-scale=1.0, minimum-scale=1.0" /> <link href="/images/favicon.ico" rel="shortcut icon" /> <link rel="stylesheet" type="text/css" href="/css/reset.css" /> <link href="https://fonts.googleapis.com/css?family=Roboto:400,400i,500,500i,700,700i" rel="stylesheet"> <link rel="stylesheet" type="text/css" href="/fonts/font-awesome/font-awesome.min.css" /> <link rel="stylesheet" type="text/css" href="/css/courseleaf.css" /> <link rel="stylesheet" type="text/css" href="/css/screen.css?v=2024-2025" media="screen" /> <link rel="stylesheet" type="text/css" href="/css/print.css" media="print" /> <script type="text/javascript" src="/js/jquery.js"></script> <script type="text/javascript" src="/js/lfjs.js"></script> <script type="text/javascript" src="/js/lfjs_any.js"></script> <link rel="stylesheet" type="text/css" href="/js/lfjs.css" /> <script type="text/javascript" src="/js/courseleaf.js"></script> <script type="text/javascript" src="/js/custom.js?v=2024-2025"></script> </head> <body class=""> <nav aria-label="Skip content menu" class="accessible"> <div class="accessible-menu"> <ul> <li><a href="#contentarea" rel="section">Skip to Content</a></li> <li><a href="/azindex/">AZ Index</a></li> <li><a href="/">Catalog Home</a></li> </ul> </div> </nav> <header id="header"> <section class="header-universal"> <div class="wrap"> <p class="header-universal__title">University of California San Francisco</p> <a class="header-universal__give" href="https://giving.ucsf.edu/">Give to UCSF</a> </div> </section> <section class="header-main"> <div class="wrap"> <h1 id="site-title"><a href="/" rel="home">General Catalog</a></h1> <div class="mobile-toggles"> <button type="button" class="toggle-search" aria-controls="cat-search" aria-expanded="false" data-toggle="#cat-search"> <span class="sr-only">toggle search</span> <span class="toggle-search__icon" aria-hidden="true"></span> </button> <button id="hamburger" aria-controls="navigation" data-toggle="#navigation" aria-expanded="false"> <span class="sr-only">Toggle menu</span> <span class="burgertime" aria-hidden="true"> <span class="icon"></span> </span> </button> </div> <nav id="navigation" aria-label="Secondary" aria-hidden="false"> <ul id="main-nav" class="top clearfix"> <li class="isparent"> <button type="button">Courses</button> <ul> <li><a href="/course-catalog/">Course Listings</a></li> <li><a href="/course-search/">Search Courses</a></li> </ul> </li> <li><a href="/programs/">Academic Programs</a></li> <li class="isparent"> <button type="button">Schools and Programs</button> <ul> <li><a href="/schools/school-dentistry/">School of Dentistry</a></li> <li><a href="/schools/school-medicine/">School of Medicine</a></li> <li><a href="/schools/school-nursing/">School of Nursing</a></li> <li><a href="/schools/school-pharmacy/">School of Pharmacy</a></li> <li><a href="/schools/graduate-division/">Graduate Division</a></li> <li><a href="/schools/institute-global-health-sciences/">Institute for Global Health Sciences</a></li> </ul> </li> <li><a href="/university/">University Support Offices</a></li> <li><a href="/archive/">Archive</a></li> <li class="no-mobile"> <button type="button" class="toggle-search" aria-controls="cat-search" aria-expanded="false" data-toggle="#cat-search"> <span class="sr-only">open search</span> <span class="toggle-search__icon" aria-hidden="true"></span> </button> </li> </ul> <a class="header-main__give" href="https://giving.ucsf.edu/">Give to UCSF</a> </nav> <div class="search" id="cat-search"> <form action="/search/"> <label for="cat-search-term" class="sr-only">Search catalog</label> <input class="search-field" type="text" name="search" id="cat-search-term" placeholder="Search catalog..." /> <button class="search-button" type="submit"> <span class="sr-only">Submit search</span> </button>  </form> </div> </div> </section> </header> <section id="content-container"> <div class="wrap"> <div id="col-content"> <nav id="breadcrumb" aria-label="Breadcrumbs"> <ul><li><a href="/">Home</a><span class="crumbsep">></span></li><li><a href="/programs/">Academic Programs</a><span class="crumbsep">></span></li><li><span class="active">Health Data Science (MS)</span></li></ul> </nav> <main id="contentarea"> <header> <h1 class="page-title">Health Data Science (MS)</h1> </header> <script type="text/javascript"> //<![CDATA[ var defshow = "text"; var bodycontainer = "#body"; var validhashes = ",text,detailstext,"; if(window.location.hash.length) { var hash = cleanHash(window.location.hash); if(validhashes.indexOf("," + hash + ",") != -1) defshow = hash; } var ss = document.styleSheets; var workss = null; for(var i=0; i < ss.length; i++) { var currmedia = ""; if (typeof ss[i].media == "string") currmedia = ss[i].media else if (typeof ss[i].media == "object" && ss[i].media.mediaText) currmedia = ss[i].media.mediaText; if((currmedia == "screen" || currmedia == "all") && (ss[i].href.indexOf("/") == 0 || ss[i].href.indexOf(document.location.host) >= 0)) { workss = ss[i]; break; } } if(workss && workss.insertRule) { workss.insertRule(".tab_content { display: none; }", workss.cssRules.length) workss.insertRule(".sectionheader { display: none; }", workss.cssRules.length) workss.insertRule("#" + defshow + "container { display: block; }", workss.cssRules.length) } else if(workss && workss.addRule) { workss.addRule(".tab_content", "display: none"); workss.addRule(".sectionheader", "display: none"); workss.addRule("#" + defshow + "container", "display: block"); } else { if (window.console) window.console.log('screen.css <link> needs attribute media="screen"'); } //]]> </script> <nav id="tabs" aria-label="Page content tabs"> <ul class="clearfix" role="tablist"> <li id="texttab" role="presentation"> <a href="#textcontainer" role="tab" aria-controls="textcontainer" onclick="return showSection('text');">Overview</a></li> <li id="detailstexttab" role="presentation"> <a href="#detailstextcontainer" role="tab" aria-controls="detailstextcontainer" onclick="return showSection('detailstext');" >Details</a></li> </ul> </nav> <div id="textcontainer" class="page_content tab_content" role="tabpanel" aria-labelledby="texttab"> <p><a href="https://epibiostat.ucsf.edu/masters-degree-health-data-science" target="_blank" rel="noopener">Visit program website.</a></p><p><a href="https://gradapp.ucsf.edu/register/apply" target="_blank" rel="noopener" class="applyBtn">Apply now</a></p><p><strong>Degree Offered: </strong>MS<br/> <strong>Program Leadership:</strong><br/> John Kornak, PhD, Program Director <br/> <strong>Admissions Inquiries:</strong><br/> <a href="mailto:healthdatasci@ucsf.edu" target="_blank">Eva Wong-Moy</a>, Graduate Affairs Manager</p> <h2>Program Description</h2> <p>Data science plays a fundamental role in health sciences research: Learning from data is at the core of how we make advances in health research. Data science methods and tools are needed to deal with the expanding role of precision medicine, the widespread analyses of electronic health records, and the growing number of large and complex datasets. </p> <p>The Master of Science (MS) Degree in Health Data Science (MiHDaS) is a two-year program in which students learn to apply data science, biostatistics, machine learning, and epidemiological thinking in clinical research settings.</p> <p>The program is intended for:</p> <ul> <li>Quantitative science learners interested in studying data science with a focus on biomedical applications.</li> <li>Numerically able biomedical scientists interested in applying data science methods in clinical, epidemiological and biological sciences.</li> </ul> <p>We also offer a <a href="https://epibiostat.ucsf.edu/certificate-health-data-science" target="_blank">one-year certificate program (CiHDaS)</a>, with condensed coursework and absent teaching and hands on capstone project experience, best suited for those already working in the biomedical or pharmaceutical industries.</p> <h2>Admission Requirements</h2> <ul> <li>Bachelor’s degree (BA/BS) or the equivalent from an accredited institution in a quantitative or biomedical science, or related field, with a minimum grade point average of 3.0.</li> <li>International applicants from non-English speaking countries must also demonstrate proficiency in English by:</li> <li>Completing one year of full-time study with a minimum GPA of 3.2 (B average) on a 4.0 scale at an accredited college or university in the United States, or</li> <li>Earning a degree from a college or university outside of the United States with instruction fully in English, or</li> <li>Obtaining the minimum scores on the Test of English as a Foreign Language (TOEFL) - administered by <a href="http://www.ets.org/toefl/" target="_blank">ETS</a>, or the International English Language Testing System (<a href="http://www.ielts.org/" target="_blank">IELTS</a>). Please see the Graduate Division’s <a href="https://graduate.ucsf.edu/intl-admission-requirements" target="_blank">International Admission Requirements</a> for minimum scores; note that the Health Data Science program minimum internet based TOEFL iBT score is 100. Test scores are valid from these institutions for a maximum of two years from the test date. TOEFL official scores must be sent to UCSF’s institutional code 4840; for IELTS scores, select University of California, San Francisco - Graduate Division.</li> <li>International students who have completed degrees in countries where English is the native language are exempt from the testing requirement.</li> <li>Three letters of recommendation</li> <li>Resume or curriculum vitae</li> <li>Statement of Purpose</li> <li>Personal History Statement</li> </ul> <h2>Learning Outcomes</h2> <p>To complete the program, scholars must satisfy program objectives, which are to:</p> <ul> <li>Acquire a mastery of a broad set of data science research methods and in the techniques needed for the application of data science across biomedicine applications and research.</li> <li>Gain understanding of key issues that are particularly pertinent to the health sciences and evidence-based medicine, such as bias, confounding, interpretability, and causality.</li> <li>Plan and implement one or more health-related data science research projects.</li> <li>Write a publication-quality first-author research paper and a detailed methodology review.</li> <li>Present research results at a national or international meeting.</li> <li>Create a portfolio of data science skills and application areas.</li> </ul></div> <div id="detailstextcontainer" class="page_content tab_content" role="tabpanel" aria-labelledby="detailstexttab" aria-hidden="true"> <a name="detailstext"></a><h2>Degree Requirements</h2> <ul> <li>All core courses and required activities taken and passed with a grade C or higher.</li> <li>Maintain a cumulative GPA of 3.0 or higher (equivalent to a B average).</li> <li>Capstone project</li> <li>Educational apprenticeship (teaching assistant for one course)</li> <li>Unit requirement: 36 units</li> </ul> <h2>Core Courses</h2> <table pdfnorepeatheader="true" class="sc_plangrid"> <caption>Plan of Study Grid</caption><colgroup> <col pdfwidth="28" class="codecol"/> <col pdfwidth="57" class="titlecol"/> <col pdfwidth="15" class="hourscol"/> </colgroup> <tr class="plangridyear"><th id="IheKLG_plangrid1_0" class="year" colspan="3">Year 1</th></tr> <tr class="plangridterm"><th id="IheKLG_plangrid1_0_0" colspan="2">Summer</th><th id="IheKLG_plangrid1_hoursheader" scope="col" class="hourscol">Units</th></tr> <tr class="even"><td headers=" IheKLG_plangrid1_0_0" class="codecol"><a href="/search/?P=BIOSTAT%20202" title="BIOSTAT 202" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 202');">BIOSTAT 202</a></td> <td headers=" IheKLG_plangrid1_0_0" class="titlecol">Opportunities and challenges of complex biomedical data</td> <td headers=" IheKLG_plangrid1_0_0 IheKLG_plangrid1_hoursheader" class="hourscol">3</td> </tr> <tr class="odd"><td headers=" IheKLG_plangrid1_0_0" class="codecol"><a href="/search/?P=BIOSTAT%20213" title="BIOSTAT 213" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 213');">BIOSTAT 213</a></td> <td headers=" IheKLG_plangrid1_0_0" class="titlecol">Programming for Health Data Science in R</td> <td headers=" IheKLG_plangrid1_0_0 IheKLG_plangrid1_hoursheader" class="hourscol">2</td> </tr> <tr class="even"><td headers=" IheKLG_plangrid1_0_0" class="codecol"><a href="/search/?P=EPIDEMIOL%20201" title="EPIDEMIOL 201" class="bubblelink code" onclick="return showCourse(this, 'EPIDEMIOL 201');">EPIDEMIOL 201</a></td> <td headers=" IheKLG_plangrid1_0_0" class="titlecol">Responsible Conduct of Research</td> <td headers=" IheKLG_plangrid1_0_0 IheKLG_plangrid1_hoursheader" class="hourscol">0.5</td> </tr> <tr class="plangridsum odd"><td> </td><td headers=" IheKLG_plangrid1_0_0" class="titlecol">Units</td><td headers=" IheKLG_plangrid1_0_0 IheKLG_plangrid1_hoursheader" class="hourscol">5.5</td></tr> <tr class="plangridterm"><th id="IheKLG_plangrid1_0_1" colspan="3">Fall</th></tr> <tr class="even"><td headers=" IheKLG_plangrid1_0_1" class="codecol"><a href="/search/?P=BIOSTAT%20200" title="BIOSTAT 200" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 200');">BIOSTAT 200</a></td> <td headers=" IheKLG_plangrid1_0_1" class="titlecol">Biostatistical Methods in Clinical Research I</td> <td headers=" IheKLG_plangrid1_0_1 IheKLG_plangrid1_hoursheader" class="hourscol">3</td> </tr> <tr class="odd"><td headers=" IheKLG_plangrid1_0_1" class="codecol"><a href="/search/?P=BIOSTAT%20214" title="BIOSTAT 214" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 214');">BIOSTAT 214</a></td> <td headers=" IheKLG_plangrid1_0_1" class="titlecol">Programming for Health Data Science in R II</td> <td headers=" IheKLG_plangrid1_0_1 IheKLG_plangrid1_hoursheader" class="hourscol">3</td> </tr> <tr class="even"><td headers=" IheKLG_plangrid1_0_1" class="codecol"><a href="/search/?P=EPIDEMIOL%20203" title="EPIDEMIOL 203" class="bubblelink code" onclick="return showCourse(this, 'EPIDEMIOL 203');">EPIDEMIOL 203</a></td> <td headers=" IheKLG_plangrid1_0_1" class="titlecol">Epidemiologic Methods</td> <td headers=" IheKLG_plangrid1_0_1 IheKLG_plangrid1_hoursheader" class="hourscol">4</td> </tr> <tr class="odd"><td headers=" IheKLG_plangrid1_0_1" class="codecol"><a href="/search/?P=DATASCI%20220" title="DATASCI 220" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 220');">DATASCI 220</a></td> <td headers=" IheKLG_plangrid1_0_1" class="titlecol">Data Science Program Seminar I</td> <td headers=" IheKLG_plangrid1_0_1 IheKLG_plangrid1_hoursheader" class="hourscol">1</td> </tr> <tr class="plangridsum even"><td> </td><td headers=" IheKLG_plangrid1_0_1" class="titlecol">Units</td><td headers=" IheKLG_plangrid1_0_1 IheKLG_plangrid1_hoursheader" class="hourscol">11</td></tr> <tr class="plangridterm"><th id="IheKLG_plangrid1_0_2" colspan="3">Winter</th></tr> <tr class="odd"><td headers=" IheKLG_plangrid1_0_2" class="codecol"><a href="/search/?P=BIOSTAT%20208" title="BIOSTAT 208" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 208');">BIOSTAT 208</a></td> <td headers=" IheKLG_plangrid1_0_2" class="titlecol">Biostatistical Methods II</td> <td headers=" IheKLG_plangrid1_0_2 IheKLG_plangrid1_hoursheader" class="hourscol">3</td> </tr> <tr class="even"><td headers=" IheKLG_plangrid1_0_2" class="codecol"><a href="/search/?P=BIOSTAT%20216" title="BIOSTAT 216" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 216');">BIOSTAT 216</a></td> <td headers=" IheKLG_plangrid1_0_2" class="titlecol">Machine Learning in R for the Biomedical Sciences</td> <td headers=" IheKLG_plangrid1_0_2 IheKLG_plangrid1_hoursheader" class="hourscol">3</td> </tr> <tr class="odd"><td headers=" IheKLG_plangrid1_0_2" class="codecol"><a href="/search/?P=DATASCI%20220" title="DATASCI 220" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 220');">DATASCI 220</a></td> <td headers=" IheKLG_plangrid1_0_2" class="titlecol">Data Science Program Seminar I</td> <td headers=" IheKLG_plangrid1_0_2 IheKLG_plangrid1_hoursheader" class="hourscol">1</td> </tr> <tr class="even"><td headers=" IheKLG_plangrid1_0_2" class="codecol"><a href="/search/?P=DATASCI%20223" title="DATASCI 223" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 223');">DATASCI 223</a></td> <td headers=" IheKLG_plangrid1_0_2" class="titlecol">Applied Data Science with Python</td> <td headers=" IheKLG_plangrid1_0_2 IheKLG_plangrid1_hoursheader" class="hourscol">2</td> </tr> <tr class="plangridsum odd"><td> </td><td headers=" IheKLG_plangrid1_0_2" class="titlecol">Units</td><td headers=" IheKLG_plangrid1_0_2 IheKLG_plangrid1_hoursheader" class="hourscol">9</td></tr> <tr class="plangridterm"><th id="IheKLG_plangrid1_0_3" colspan="3">Spring</th></tr> <tr class="even"><td headers=" IheKLG_plangrid1_0_3" class="codecol"><a href="/search/?P=BIOSTAT%20209" title="BIOSTAT 209" class="bubblelink code" onclick="return showCourse(this, 'BIOSTAT 209');">BIOSTAT 209</a></td> <td headers=" IheKLG_plangrid1_0_3" class="titlecol">Biostatistical Methods III</td> <td headers=" IheKLG_plangrid1_0_3 IheKLG_plangrid1_hoursheader" class="hourscol">3</td> </tr> <tr class="odd"><td headers=" IheKLG_plangrid1_0_3" class="codecol"><a href="/search/?P=DATASCI%20220" title="DATASCI 220" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 220');">DATASCI 220</a></td> <td headers=" IheKLG_plangrid1_0_3" class="titlecol">Data Science Program Seminar I</td> <td headers=" IheKLG_plangrid1_0_3 IheKLG_plangrid1_hoursheader" class="hourscol">1</td> </tr> <tr class="even"><td headers=" IheKLG_plangrid1_0_3" class="codecol"><a href="/search/?P=DATASCI%20224" title="DATASCI 224" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 224');">DATASCI 224</a></td> <td headers=" IheKLG_plangrid1_0_3" class="titlecol">Understanding Machine Learning: From Theory to Applications</td> <td headers=" IheKLG_plangrid1_0_3 IheKLG_plangrid1_hoursheader" class="hourscol">3</td> </tr> <tr class="odd"><td headers=" IheKLG_plangrid1_0_3" colspan="2" class="codecol"><span class="comment">DATASCI ELECTIVE</span> <sup>2</sup></td> <td headers=" IheKLG_plangrid1_0_3 IheKLG_plangrid1_hoursheader" class="hourscol">2</td> </tr> <tr class="plangridsum even"><td> </td><td headers=" IheKLG_plangrid1_0_3" class="titlecol">Units</td><td headers=" IheKLG_plangrid1_0_3 IheKLG_plangrid1_hoursheader" class="hourscol">9</td></tr> <tr class="plangridyear"><th id="IheKLG_plangrid1_1" class="year" colspan="3">Year 2</th></tr> <tr class="plangridterm"><th id="IheKLG_plangrid1_1_1" colspan="3">Fall</th></tr> <tr class="odd"><td headers=" IheKLG_plangrid1_1_1" class="codecol"><a href="/search/?P=DATASCI%20221" title="DATASCI 221" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 221');">DATASCI 221</a></td> <td headers=" IheKLG_plangrid1_1_1" class="titlecol">Data Science Program Seminar II</td> <td headers=" IheKLG_plangrid1_1_1 IheKLG_plangrid1_hoursheader" class="hourscol">1</td> </tr> <tr class="even"><td headers=" IheKLG_plangrid1_1_1" class="codecol"><a href="/search/?P=DATASCI%20222" title="DATASCI 222" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 222');">DATASCI 222</a></td> <td headers=" IheKLG_plangrid1_1_1" class="titlecol">Data Science Capstone Project</td> <td headers=" IheKLG_plangrid1_1_1 IheKLG_plangrid1_hoursheader" class="hourscol">8</td> </tr> <tr class="odd"><td headers=" IheKLG_plangrid1_1_1" class="codecol"><a href="/search/?P=DATASCI%20300" title="DATASCI 300" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 300');">DATASCI 300</a></td> <td headers=" IheKLG_plangrid1_1_1" class="titlecol">Data Science Educational Practice <sup>1</sup></td> <td headers=" IheKLG_plangrid1_1_1 IheKLG_plangrid1_hoursheader" class="hourscol">2</td> </tr> <tr class="plangridsum even"><td> </td><td headers=" IheKLG_plangrid1_1_1" class="titlecol">Units</td><td headers=" IheKLG_plangrid1_1_1 IheKLG_plangrid1_hoursheader" class="hourscol">11</td></tr> <tr class="plangridterm"><th id="IheKLG_plangrid1_1_2" colspan="3">Winter</th></tr> <tr class="odd"><td headers=" IheKLG_plangrid1_1_2" class="codecol"><a href="/search/?P=DATASCI%20221" title="DATASCI 221" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 221');">DATASCI 221</a></td> <td headers=" IheKLG_plangrid1_1_2" class="titlecol">Data Science Program Seminar II</td> <td headers=" IheKLG_plangrid1_1_2 IheKLG_plangrid1_hoursheader" class="hourscol">1</td> </tr> <tr class="even"><td headers=" IheKLG_plangrid1_1_2" class="codecol"><a href="/search/?P=DATASCI%20222" title="DATASCI 222" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 222');">DATASCI 222</a></td> <td headers=" IheKLG_plangrid1_1_2" class="titlecol">Data Science Capstone Project</td> <td headers=" IheKLG_plangrid1_1_2 IheKLG_plangrid1_hoursheader" class="hourscol">8</td> </tr> <tr class="plangridsum odd"><td> </td><td headers=" IheKLG_plangrid1_1_2" class="titlecol">Units</td><td headers=" IheKLG_plangrid1_1_2 IheKLG_plangrid1_hoursheader" class="hourscol">9</td></tr> <tr class="plangridterm"><th id="IheKLG_plangrid1_1_3" colspan="3">Spring</th></tr> <tr class="even"><td headers=" IheKLG_plangrid1_1_3" class="codecol"><a href="/search/?P=DATASCI%20221" title="DATASCI 221" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 221');">DATASCI 221</a></td> <td headers=" IheKLG_plangrid1_1_3" class="titlecol">Data Science Program Seminar II</td> <td headers=" IheKLG_plangrid1_1_3 IheKLG_plangrid1_hoursheader" class="hourscol">1</td> </tr> <tr class="odd"><td headers=" IheKLG_plangrid1_1_3" class="codecol"><a href="/search/?P=DATASCI%20222" title="DATASCI 222" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 222');">DATASCI 222</a></td> <td headers=" IheKLG_plangrid1_1_3" class="titlecol">Data Science Capstone Project</td> <td headers=" IheKLG_plangrid1_1_3 IheKLG_plangrid1_hoursheader" class="hourscol">8</td> </tr> <tr class="plangridsum even"><td> </td><td headers=" IheKLG_plangrid1_1_3" class="titlecol">Units</td><td headers=" IheKLG_plangrid1_1_3 IheKLG_plangrid1_hoursheader" class="hourscol">9</td></tr> <tr class="plangridtotal lastrow odd"><td> </td><td>Total Units</td><td headers="IheKLG_plangrid1_hoursheader" class="hourscol">63.5</td></tr> </table> <dl class="sc_footnotes" aria-label="Footnotes"><dt> <sup> 1 </sup> </dt><dd><p class="noindent">Educational Practice – may be any quarter through 2nd year.</p></dd><dt> <sup> 2 </sup> </dt><dd><p class="noindent">Elective may be taken in any quarter.</p></dd></dl> <h2>Additional Information</h2> <h3>Capstone Project</h3> <p>Students will begin developing a longitudinal capstone project as part of their requirements for the MiHDaS degree. Identification of the project will be encouraged in the first part of the program with the help of their UCSF faculty mentors (i.e. the members of their Graduate Committee), one of whom will be the Graduate Committee chair, one from the data science/biostatistics/bioinformatics faculty and one a clinical faculty member within UCSF.</p> <p>The required capstone project encompasses four components:</p> <ol> <li>Submission of a first-authored publication in a scientific journal that is data science, general science or medical applications-based (this does not need to be accepted, but does need to be approved by the student’s Graduate Committee);</li> <li>Giving an oral or poster presentation at a scientific conference;</li> <li>Writing a report on the background methodology and technical issues that were adopted or considered for the submitted publication. This report is expected to provide more detail to demonstrate solid understanding by the student of the technical methods used including full literature review with respect to the history of methods development; and</li> <li>Compiling a code and analysis portfolio for marketing the student’s career skills.</li> </ol> <p>These components were chosen to emphasize the crucial skills necessary to be a successful data scientist that go above and beyond purely technical skills. This includes but is not limited to:</p> <ul> <li>Carefully describing methodology used in a written format,</li> <li>Presenting work orally, and</li> <li>Conveying the importance of one’s work in peer-reviewed publications and elsewhere.</li> </ul> <p>This capstone element effectively provides students with an “apprenticeship” of sorts in the field of Data Science for the Health Sciences. By producing a submitted scientific paper approved by their committee, giving a presentation, and writing a methodological report, MiHDaS graduates will be able to clearly demonstrate that they are qualified to work in the field as part of a Health Sciences team.</p> <h3>Educational Apprenticeship</h3> <p>Students in the program will be expected to act as an educational apprentice (EA) for one course during their second year. This experience typically involves leading a weekly small-group discussion section of 10 to 15 students, holding office hours for students and grading homework assignments and projects. This requirement is designed to provide students with a valuable teaching experience without having a significant impact on the time needed for their capstone project work. In all cases, students will have taken during their first year the courses that they are asked to EA. Students will enroll in <span class="sc_courseinline"><a href="/search/?P=DATASCI%20300" title="DATASCI 300" class="bubblelink code" onclick="return showCourse(this, 'DATASCI 300');">DATASCI 300</a> Data Science Educational Practice</span> to receive credit in the term they EA.</p> <p>Acting as EAs provides students with important skills – while working under the guidance of experienced faculty – that they can subsequently transfer into the workplace. 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