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[URIs: fonts.googleapis.com] -0.0 SPF_PASS SPF: sender matches SPF record 0.0 HTML_MESSAGE BODY: HTML included in message 0.0 HTML_FONT_LOW_CONTRAST BODY: HTML font color similar or identical to background -0.1 DKIM_VALID_AU Message has a valid DKIM or DK signature from author's domain -0.1 DKIM_VALID Message has at least one valid DKIM or DK signature 0.1 DKIM_SIGNED Message has a DKIM or DK signature, not necessarily valid 0.8 CPANEL_LOTS_OF_EMPTY_LINE RAW: Spam that has large block of empty lines 0.0 T_KAM_HTML_FONT_INVALID Test for Invalidly Named or Formatted Colors in HTML 0.0 LOTS_OF_MONEY Huge... sums of money X-Spam-Flag: NO This is a multi-part message in MIME format. --7lp88niUDb4S=_?: Content-Type: text/plain; charset="utf-8" Content-Transfer-Encoding: 8bit ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏͏‌ ͏‌ ͏‌ ͏‌ https://click.email.coursera.org/?qs=bee17ae119e797f76ab0a4fc1c4e2f0c8bbc2a92248e07436e2955dde55967ce7e9efcbcf050e3d3a09534e25ecd1f8ede843e5cf6a203c08b85d5776d999be6 https://click.email.coursera.org/?qs=bee17ae119e797f7bea42402fa5773f7d91b679b25a472b4937bed455a5b5d57c47a951ae10a797d82a99286a48d382d4733f324654b7f25b0b1b29057c5db84 Master of Applied Data Science https://click.email.coursera.org/?qs=bee17ae119e797f741db38262003d11345fa0c20f962f6f49e557f888180ba80aaec6f27a3df05cde28325dbe7eb15f1af86339eae58b63da742d811567181ab The University of Michigan School of Information’s fully-online master’s program in applied data science teaches comprehensive applied data science at the intersection of people and technology. There are only a few basic technical prerequisites (knowledge of statistics and Python) needed to begin the Master of Applied Data Science degree from the University of Michigan’s School of Information. Students are not required to have a bachelor’s degree in a science or math discipline or work experience in a technical field. https://click.email.coursera.org/?qs=1a77f52faedde04872d3e9a0e53627c9b0df6bc93d9e5373f12a9031a619db4ebb68e4bae35afff5d1016ae51ddb7e21bc77c6b45abda173e6714f1eb3d52795 Get started Frequently asked questions What topics will I learn about? The Master of Applied Data Science Program equips students with the skills needed to apply data science in any number of real world contexts. It blends theory, computation, and application in a flexible online format. Students will learn how to collect, process, analyze, and model data and create 3 portfolio-building major projects. What are the application requirements for the program? Applicants must have an undergraduate degree, a strong knowledge of Python programming language basic and introductory statistics, TOEFL exam for non-native speakers of English. The Graduate Record Exam (GRE) and other exams are not required. Will I need to pay the entire amount for the degree right away? The total cost of the 34-credit degree is about $31,688 for in-state students and $42,262 for out-of-state students. You won’t be billed upfront for the whole degree. Instead, you’ll pay tuition for courses as you go. If conflicts arise and you need to take a term off, you won’t be charged during that term. https://click.email.coursera.org/?qs=bee17ae119e797f7931a1f619df3d1ccefcbcff07b488234762ce9dd553ffec073babf690701fa0a0bec767c87a729d35298da8ef4fc93faee9743c20e05137e https://click.email.coursera.org/?qs=bee17ae119e797f71b8cf005e90fec992e81307b04394d92ba159adb38c15b430af920eb8370d133e6c4e624f397b48e80211c806da1d6585cc991dfdb8c5da7 https://click.email.coursera.org/?qs=bee17ae119e797f715188f143fcd03b82933e168fa5068f58566068196f47e33a80f8fa3d9625ce143b00e565be8caf94c3df7bdac693239f1f88c2314b6c177 https://click.email.coursera.org/?qs=bee17ae119e797f7e0225b6c0dc14f6b2fb4a961b486fc3fcb60b7dc150fab75af9d0542917a14e2b7d0a6ce9ca18c3f8afeb2029504a5cae61ef47c8dbddea5 https://click.email.coursera.org/?qs=bee17ae119e797f7ce8bdcfe28af296430229e76e91aa73b54c67aa772f7eaf8f8aba7a6fcca24318daffbc76c3420e94c933f543acb3037e82bfc6309b8232d https://click.email.coursera.org/?qs=bee17ae119e797f76e3a0296372167fcf966d2e8d72c91476c29d85794d3bb7394e81f9affca1b36a985cbeb07255d03b74781ce0dbb389b81c4d898b6996310 https://click.email.coursera.org/?qs=bee17ae119e797f75e88667f347fe7c19f361d916899904b04fcf93261fbd479bc3f67b8525c6e3343f29b54f2c8fc44a90df5b3adce5075d13005940eac39b3 https://click.email.coursera.org/?qs=bee17ae119e797f714157c28e0d8c9e37e9a1815b970cc0dd457951cdd913acd3bd08425da94a7b7d8b7fd9a5bb014530f6d5d8bc33ed7ac22c2b3695f90979c Help | https://click.email.coursera.org/?qs=bee17ae119e797f79f11c5514f0a657c9a630a8ce332eb9ba0c74352c52ed4a4388cf07762aa302dacec2244b90312649511feaa1ac7f1f76c9a363e9feba376 Coursera for Business | https://click.email.coursera.org/?qs=bee17ae119e797f784ca7cf1799def7e7a9d4cd24ab8e27be1da00668794aec0c8289188126a064116049a6ec419ec0b34c1e42adc1950af8765051e10c7283e Privacy Notice | https://click.email.coursera.org/unsub_center.aspx?qs=e6f82fd705624e9910791b6bfc29006d99df9efadabacd328189ad28d84c7fbe79811dd694d85be3dccb8063ca827312d74d43c0396793a4cb7ad60deb382af801a8609100030b13 Unsubscribe © 2023 Coursera Inc. 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-webkit-text-size-adjust:none;background-color : #F5F7F8; font-family: 'Open Sans', Arial, sans-serif !important; line-height : 125%; font-size : 16px; color : #000000; padding : 0px; "><style type="text/css"> div.preheader { display: none !important; } </style> <div class="preheader" style="font-size: 1px; display: none !important;">Learn more about Michigan's Master of Applied Data Science...</div> <div style="font-size:0; line-height:0;"> <img src="https://click.email.coursera.org/open.aspx?ffcb10-ff011072756000-fe2a1770716d0678701d70-fe3111717164047e751c79-ff9c1671-fe26157177630078711c79-ff3810727464&d=110025&bmt=0" width="1" height="1" alt=""> </div> <table width="100%" border="0" cellpadding="0" cellspacing="0" align="center" style="background-color: #F5F7F8"> <tr> <td align="center" valign="top"> <custom type="single_values"/> </td> </tr> <tr> <td align="center"> <!-- border table --> <table cellspacing="0" cellpadding="0" border="0" width="624" class="container" align="center" style=" border-image : initial; border-width: 15px 12px 0px; border-style: solid; border-color: #F5F7F8;"> <tr> <td> <table style="font-size : 16px; font-family: 'Open Sans', Arial, sans-serif !important; color : #000000;background-color : #F5F7F8; " class="tb_properties" cellspacing="0" cellpadding="0" bgcolor="#F5F7F8" width="100%"> <tr><td align="center"><div style="display:none;font-size:0px;color:transparent;line-height:1px;max-height:0px;max-width:0px;opacity:0;overflow:hidden"> ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏<wbr>͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏<wbr>͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏<wbr>͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏ <wbr>͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏<wbr>͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏<wbr>͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏<wbr>͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏ <wbr>͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏<wbr>͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏‌ ͏<wbr>͏‌ ͏‌ ͏‌ ͏‌ </div><table width="90%" cellspacing="0" cellpadding="0" style="margin: 0 auto;"><tr><td align="center" style="padding: 0% 5% 0% 5%; font-size:0px; line-height:0px"><a href="https://click.email.coursera.org/?qs=1a77f52faedde0488b78e80648324e2f33eb030378a91feb6b1b0b50b026454f4d88b9eff93c5a3bbb0860908847cfe60f2d89090205ef45eefe70d4ccc81aa3" title="Coursera | "><img src="https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-misc.s3.amazonaws.com/mailspin/prod/11_03_2020_18_12_04_coursera-wordmark-blue.png?w=240&h=34" alt="Coursera | " height="auto" width="120" style="display: inline-block; 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height: 100px; text-align: center; padding: 0px; border: 0px; background-color: #ffffff; max-width: 100%"> </a> </td> </tr> </table> </td> </tr> </table> </td> </tr> <tr> <td class="headline-wrapper" style="padding: 0% 5% 0% 5%; font-family: 'Open Sans', Arial, sans-serif !important;" align="left"> <span class="headline" style="font-size: 36px; line-height: 42px; color: #1F1F1F; font-weight: bold;"> Master of Applied Data Science </span> </td> </tr> <tr> <td class='header-outer-wrapper' align="center" valign="top" style="padding: 5% 0 2.5% 0;"> <table class="container" width="100%" cellpadding="0" cellspacing="0" border="0" style="margin: 0 auto;"> <tr> <td align="center" style="font-size:0px; line-height:0px; padding: 0%;"> <a href="https://click.email.coursera.org/?qs=1a77f52faedde0482e7cce40a2e0e70d9770ef15dd4285403bd746473961f7f51a759a7fb3798175bc34ead68add9721b1916564075aefa988017d4a4454585f"> <img src="https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-misc.s3.amazonaws.com/mailspin/prod/01_22_2020_22_19_34_UMich-MADS-Coursera-Header.jpg?w=540" alt="Master of Applied Data Science " width="540" style="display: block; height: auto; width: 100%; max-width:540px; padding: 0; text-align: center;"> </a> </td> </tr> </table> </td> </tr> <tr><td style="padding:2.5% 5% 0%;font-family:'Open Sans', Arial, sans-serif !important;" align="left" dir="ltr"><span class="body" style="font-size:16px;line-height:20px;color:#1F1F1F;font-weight:normal;display:inline-block">The University of Michigan School of Information’s fully-online master’s program in applied data science teaches comprehensive applied data science at the intersection of people and technology. <br> <br> There are only a few basic technical prerequisites (knowledge of statistics and Python) needed to begin the Master of Applied Data Science degree from the University of Michigan’s School of Information. Students are not required to have a bachelor’s degree in a science or math discipline or work experience in a technical field.</span></td></tr> <tr> <td class="button-space" align="center" style="padding: 5% 0%"> <table height="48" width="auto" role="presentation" cellspacing="0" cellpadding="0" border="0" align="center" style="margin: auto; border: 1px solid #FFFFFF; background: #0056D2; border-radius: 4px;"> <tr> <td height="48" style="text-align: center; padding-left:25px; padding-right:25px"> <a href="https://click.email.coursera.org/?qs=1a77f52faedde0480576a8a95327ef9da03533647f8de84f3824d15c8ec596c6aa8be3720bf390b009a56f641f74fc24867c14c9ab84a49ff1e89d1a9cfee8f4" style="font-family: 'Open Sans', Arial, sans-serif !important; font-weight: bold; font-size: 16px; line-height: 20px; text-align: center; text-decoration: none; display: block;" target="_blank"> <span style="color:#FFFFFF">Get started</span> </a> </td> </tr> </table> </td> </tr> <!-- MAIN CTA --> <!-- WEBINAR COMPONENT STARTS HERE --> <!-- WEBINAR COMPONENT ENDS HERE --> <!-- OPEN CONTENT COMPONENT STARTS HERE --> <!-- OPEN CONTENT COMPONENT ENDS HERE --> <!-- FAQ DRE COMPONENT STARTS HERE --> <tr> <td align="center"> <table role="presentation" cellspacing="0" cellpadding="0" border="0" width="600" class="container" align="center" style=" border-image : initial; border-width: 0px 0px 0px; border-style: solid; border-color: #F5F7F8;"> <tr> <td align="center"> <table role="presentation" style="font-size : 16px; font-family: 'Open Sans', Arial, sans-serif !important; color : #000000;background-color : #F5F7F8; " class="tb_properties" cellspacing="0" cellpadding="0" bgcolor="#F5F7F8" width="100%"> <tr> <td> <table role="presentation" cellpadding="0" cellspacing="0" width="100%" style="background-color: #FFFFFF; min-width: 100%; border-width: 0px 0px 0px 0px; border-style: solid; border-color: #F5F7F8;"> <!--New Table Spacer --> <tr> <td bgcolor="#F5F7F8" style="padding: 5% 0% 0%; font-size: 1px; line-height: 1px; background-color : #F5F7F8"> </td> </tr> <tr> <td style="padding: 2.5% 0% 0%; font-size: 1px; line-height: 1px;"> </td> </tr> <tr><td style="padding:2.5% 5% 2.5%;font-family:'Open Sans', Arial, sans-serif !important;" align="left" dir="ltr"><span class="body" style="font-size:24px;line-height:30px;color:#1F1F1F;font-weight:bold;">Frequently asked questions</span></td></tr> <tr> <td valign="top" style="text-align:left; background-color: #ffffff; padding: 0% 0%;" align="left"> <table class="wrapper" border="0" cellpadding="0" width="600" cellspacing="0" align="center"> <tbody> <tr> <td valign="top" style="text-align:left; background-color: #ffffff; padding: 0% 5%;" align="left"> <table class="wrapper" border="0" cellpadding="0" width="100%" cellspacing="0" align="center"> <tbody> <tr> <td width="36" style="width: 36px; padding: 2.5% 2.5% 2.5% 0%; vertical-align: top; font-size:0px; line-height:0px" align="center"> <img width= "30" src="https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-misc.s3.amazonaws.com/mailspin/prod/10_28_2020_04_46_06_question-icon.png" alt="Icon" style="display: block; height: auto; width: 30px; padding: 0px; text-align: left;"> </td> <td align="left" style="font-family: 'Open Sans', Arial, sans-serif; text-align:left; padding: 3% 2.5% 2.5% 2.5%; vertical-align: middle; line-height: 12px;"> <span class="name" style="font-size:16px;line-height:20px; color:#1F1F1F; font-weight: bold;">What topics will I learn about?</span> <br><br> <span class="description" style="font-size:16px;line-height:20px; color:#1F1F1F;"> The Master of Applied Data Science Program equips students with the skills needed to apply data science in any number of real world contexts. It blends theory, computation, and application in a flexible online format. Students will learn how to collect, process, analyze, and model data and create 3 portfolio-building major projects. </span> </td> </tr> </tbody> </table> </td> </tr> </tbody> </table> </td> </tr> <tr> <td valign="top" style="text-align:left; background-color: #ffffff; padding: 0% 0%;" align="left"> <table class="wrapper" border="0" cellpadding="0" width="600" cellspacing="0" align="center"> <tbody> <tr> <td valign="top" style="text-align:left; background-color: #ffffff; padding: 0% 5%;" align="left"> <table class="wrapper" border="0" cellpadding="0" width="100%" cellspacing="0" align="center"> <tbody> <tr> <td width="36" style="width: 36px; padding: 2.5% 2.5% 2.5% 0%; vertical-align: top; font-size:0px; line-height:0px" align="center"> <img width= "30" src="https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-misc.s3.amazonaws.com/mailspin/prod/10_28_2020_04_46_06_question-icon.png" alt="Icon" style="display: block; height: auto; width: 30px; padding: 0px; text-align: left;"> </td> <td align="left" style="font-family: 'Open Sans', Arial, sans-serif; text-align:left; padding: 3% 2.5% 2.5% 2.5%; vertical-align: middle; line-height: 12px;"> <span class="name" style="font-size:16px;line-height:20px; color:#1F1F1F; font-weight: bold;">What are the application requirements for the program?</span> <br><br> <span class="description" style="font-size:16px;line-height:20px; color:#1F1F1F;"> Applicants must have an undergraduate degree, a strong knowledge of Python programming language basic and introductory statistics, TOEFL exam for non-native speakers of English. The Graduate Record Exam (GRE) and other exams are not required. </span> </td> </tr> </tbody> </table> </td> </tr> </tbody> </table> </td> </tr> <tr> <td valign="top" style="text-align:left; background-color: #ffffff; padding: 0% 0%;" align="left"> <table class="wrapper" border="0" cellpadding="0" width="600" cellspacing="0" align="center"> <tbody> <tr> <td valign="top" style="text-align:left; background-color: #ffffff; padding: 0% 5%;" align="left"> <table class="wrapper" border="0" cellpadding="0" width="100%" cellspacing="0" align="center"> <tbody> <tr> <td width="36" style="width: 36px; padding: 2.5% 2.5% 2.5% 0%; vertical-align: top; font-size:0px; line-height:0px" align="center"> <img width= "30" src="https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://coursera-misc.s3.amazonaws.com/mailspin/prod/10_28_2020_04_46_06_question-icon.png" alt="Icon" style="display: block; height: auto; width: 30px; padding: 0px; text-align: left;"> </td> <td align="left" style="font-family: 'Open Sans', Arial, sans-serif; text-align:left; padding: 3% 2.5% 2.5% 2.5%; vertical-align: middle; line-height: 12px;"> <span class="name" style="font-size:16px;line-height:20px; color:#1F1F1F; font-weight: bold;">Will I need to pay the entire amount for the degree right away?</span> <br><br> <span class="description" style="font-size:16px;line-height:20px; color:#1F1F1F;"> The total cost of the 34-credit degree is about $31,688 for in-state students and $42,262 for out-of-state students. You won’t be billed upfront for the whole degree. Instead, you’ll pay tuition for courses as you go. 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