{"id":11116,"date":"2015-03-27T18:22:07","date_gmt":"2015-03-27T22:22:07","guid":{"rendered":"http:\/\/www.bu.edu\/csmet\/?page_id=11116"},"modified":"2026-06-10T19:34:41","modified_gmt":"2026-06-10T23:34:41","slug":"da","status":"publish","type":"page","link":"https:\/\/www.bu.edu\/csmet\/academic-programs\/da\/","title":{"rendered":"Graduate Certificate in Data Analytics"},"content":{"rendered":"<style>*{box-sizing: border-box;}.column {float: left;width: 33.33%; padding: 17px;}.row:after {content: \"\";display: table;clear: both;} .btn-group button{float:left; text-align:center; text-transform:none; word-break: keep-all; width:150px; height:90px; margin-top:0px; margin-right:10px; margin-bottom:10px; margin-left:0px; padding:0px; border-radius:15px;} .button:hover{background-color: pink;} a{color:white;} a:hover{color:white;} a:visited{color:white;} h3.bu_collapsible {background-color: #F8F8F8; text-transform: none; padding-left: 10px; width: 100%; border-left: solid; text-align: left; outline: none; font-size: 100%;}<\/style>\n<h4>ON CAMPUS | ONLINE<\/h4>\n<p style=\"text-align: justify;\">The graduate certificate program in data analytics will explore the intricacies of data analytics and expose students to various topics and tools related to data processing, analysis and visualization. Students will learn probability theory, statistical analysis methods and tools, generating relevant visual presentations of data, and concepts and techniques for data mining, text mining, and web mining. Individuals who complete this program will have a solid knowledge of concepts and techniques in data analytics as well as a solid exposure to the methods and tools for data mining and knowledge discovery.<\/p>\n<p style=\"text-align: justify;\">The certificate in Data Analytics prepares students for the position of data analyst or data scientist. The main learning outcomes are as follows:<\/p>\n<ul style=\"text-align: justify;\">\n<li>To provide the foundation for applied probability and statistics and its relevance in day-to-day data analysis<\/li>\n<li>To explore the various data visualization techniques and their applications using real-world data sets<\/li>\n<li>To understand web analytics and metrics, procure and process unstructured text, and delve into the hidden patterns<\/li>\n<li>To facilitate knowledge discovery using data mining techniques over vast amounts of data<\/li>\n<\/ul>\n<blockquote style=\"background-color: #f5f5f5;\"><p><span style=\"font-size: 100px; line-height: 0.6em; opacity: 0.2;\">\u275d<\/span><\/p>\n<p style=\"margin-top: -57px; margin-left: 60px;\"><em>Our data analytics courses are geared towards asset programming language. We started with Java as the foundation course, and now we also have Python as a foundation course, and those are the new skills that students would learn as they go through the data analytics program. Students will gain the required knowledge of statistics, probability, data description, data distributions, errors, performance estimation, visualization, model evaluation, data mining techniques, web analytics, and web mining. At MET, courses are practical and application-based, so we use tools such as R, SQL Server, Oracle, Google Analytics, and so forth.<strong><br \/>\n&#8211; Professor Suresh Kalathur<\/strong><\/em><\/p>\n<\/blockquote>\n<h4><strong>Summary<\/strong><\/h4>\n<ul>\n<li>Four courses\/16 units<\/li>\n<li>Requirements can be fully completed <strong>part time<\/strong> on campus or online. Contact the Department for further details at <a href=\"mailto:csinfo@bu.edu\">csinfo@bu.edu<\/a>.<\/li>\n<li>A minimum passing grade for a course in the graduate program is a C (2.0) but an average grade of B (3.0) must be maintained to be in good academic standing and to be eligible for certificate completion.<\/li>\n<\/ul>\n<h4>Rankings &amp; Accreditations<\/h4>\n<div style=\"display: flex; gap: 18px; margin: 1.5em 0;\">\r\n<a href=\"https:\/\/www.usnews.com\/education\/online-education\/boston-university-OCIT0007\/computer-information-technology\" style=\"text-decoration: none;\" target=\"_blank\" rel=\"noopener\"><img src=\"\/csmet\/files\/2026\/02\/us-news-grad-infotech-2026.png\" alt=\"U.S. News &amp; World Report Best Online Programs - Grad Information Technology 2026\" width=\"90\" height=\"90\" style=\"width: 90px;\" \/><\/a>\r\n<p style=\"text-align: justify; flex: 1;\"><strong>#12, Best Online Master's in Computer Information Technology Programs<\/strong><br>\r\nMET's computer science & IT graduate certificates share curriculum with MET's online master's degrees in computer information technology, which are ranked #12 in the nation by <em>U.S. News &amp; World Report<\/em>.<\/p>\r\n<\/div>\n<h4>Preparatory Labs<\/h4>\n<p>All students are enrolled in the following free, online, non-unit preparatory labs designed to strengthen their academic foundation and serve as a key resource for the certificate program. Requirements for completion are assessed during the application process.<\/p>\n<ul>\n<li><a href=\"https:\/\/www.bu.edu\/csmet\/academic-programs\/preparatory-labs\/\">MET LB 103 Core Mathematical Concepts<\/a><\/li>\n<li><a href=\"https:\/\/www.bu.edu\/csmet\/academic-programs\/preparatory-labs\/\">MET LB 104 Foundations of Probability<\/a><\/li>\n<\/ul>\n<h3 style=\"text-align: justify;\"><strong>Graduate Certificate Requirements<\/strong><\/h3>\n<p><em>(four required courses\/16 units)<\/em><\/p>\n<p><em>Classes are available On Campus and Online.<\/em><\/p>\n<ul>\n<li><div class=\"course-feed\"><a href=\"csmet\/cs555\">MET CS 555 Foundations of Machine Learning<\/a><\/div><\/li>\n<\/ul>\n<p><span>Plus one of the following:<\/span><\/p>\n<ul>\n<li><div class=\"course-feed\"><a href=\"csmet\/cs544\">MET CS 544 Foundations of Analytics and Data Visualization<\/a><\/div><\/li>\n<li><div class=\"course-feed\"><a href=\"csmet\/cs550\">MET CS 550 Computational Mathematics for Machine Learning<\/a><\/div><\/li>\n<\/ul>\n<p>And two courses selected from the following:<\/p>\n<ul>\n<li><div class=\"course-feed\"><a href=\"csmet\/cs577\">MET CS 577 Data Science with Python<\/a><\/div><\/li>\n<li><div class=\"course-feed\"><a href=\"csmet\/cs688\">MET CS 688 Web Mining and Graph Analytics<\/a><\/div><\/li>\n<li><div class=\"course-feed\"><a href=\"csmet\/cs689\">MET CS 689 Designing and Implementing a Data Warehouse<\/a><\/div><\/li>\n<li><div class=\"course-feed\"><a href=\"csmet\/cs699\">MET CS 699 Data Mining<\/a><\/div><\/li>\n<li><div class=\"course-feed\"><a href=\"csmet\/cs767\">MET CS 767 Advanced Machine Learning and Neural Networks<\/a><\/div><\/li>\n<li><div class=\"course-feed\"><a href=\"csmet\/cs777\">MET CS 777 Big Data Analytics<\/a><\/div><\/li>\n<\/ul>\n<p>A minimum passing grade for a course in the graduate program is a C (2.0) but an average grade of B (3.0) must be maintained to be in good academic standing and to earn the certificate.<\/p>\n<h4>Program Prerequisites<\/h4>\n<p style=\"text-align: justify;\">Applicants to master\u2019s degree and graduate certificate programs must have a bachelor\u2019s degree from an accredited US institution or an equivalent credential, such as a three-year international undergraduate degree. Though you may apply and receive an offer of admission before formally completing your bachelor\u2019s, the degree must be conferred prior to enrollment in a Metropolitan College program. Applicants are not required to have a degree in Computer Science for entry to a program within our Computer Science department. Upon review of your application, the department will determine if the completion of prerequisite coursework equivalent of <a href=\"https:\/\/www.bu.edu\/csmet\/academic-programs\/preparatory-labs\/\">MET LB 103<\/a> &amp; <a href=\"https:\/\/www.bu.edu\/csmet\/academic-programs\/preparatory-labs\/\">MET LB 104<\/a> will be required, based on your academic and professional background.<\/p>\n<h4>Area Coordinator<\/h4>\n\n\t<div class=\"profile-listing\">\n\t\t<ul class=\"advanced\">\n\t\t\t\t\t\t\t\n<li class=\"has-title\">\n\t<a href=\"https:\/\/www.bu.edu\/csmet\/profile\/avinash-mohan\/\">\n\t\t\t\t\t<figure><img width=\"150\" height=\"150\" src=\"\/csmet\/files\/2024\/08\/avi_mohan_24-1123-0306.jpg\" alt=\"Avi Mohan\" \/><\/figure>\t\t\t\t<p class=\"profile-name\">Avinash Mohan<\/p>\n\t\t<p class=\"profile-title\">Assistant Professor<\/p>\t<\/a>\n<\/li>\n\t\t\t\t\t<\/ul>\n\t<\/div><!--\/.profile-listing-->\n\n<h4>Related Graduate Degree Programs<\/h4>\n<p>Students who are fully\u00a0accepted into this graduate certificate program and complete all of the required courses with a grade of &#8216;B&#8217; or better are eligible for full or conditional admission (depending on previous academic background) to the following master&#8217;s degree programs, without reapplication:<\/p>\n<div class=\"btn-group\"><a href=\"https:\/\/www.bu.edu\/csmet\/academic-programs\/msada\"><button class=\"button\">Applied<br \/>\nData Analytics<\/button><\/a><a href=\"https:\/\/www.bu.edu\/csmet\/academic-programs\/mscs\/\"><button class=\"button\">Computer<br \/>\nScience<\/button><\/a><a href=\"https:\/\/www.bu.edu\/csmet\/academic-programs\/mscis\/\"><button class=\"button\">Computer<br \/>\nInformation<br \/>\nSystems<\/button><\/a><a href=\"https:\/\/www.bu.edu\/csmet\/academic-programs\/mshi\/\"><button class=\"button\">Health<br \/>\nInformatics<br \/>\n<\/button><\/a><\/div>\n<div class=\"clearfloat\">\n<h4>Quick Links<\/h4>\n<div class=\"btn-group-smaller\"><a href=\"https:\/\/www.bu.edu\/csmet\/academic-programs\/schedules\/?csspreview=true\"><button class=\"button\"><img loading=\"lazy\" src=\"\/csmet\/files\/2019\/03\/apply_to_graduate_32x32px.png\" alt=\"Apply To Graduate\" class=\"alignnone wp-image-20988 size-full\" width=\"36\" height=\"36\" \/><br \/>\nCourse<br \/>\nSchedules<\/button><\/a><a href=\"http:\/\/onlinecampus.bu.edu\"><button class=\"button\"><img loading=\"lazy\" src=\"\/csmet\/files\/2019\/03\/online_campus_32x32px.png\" alt=\"Online Campus\" class=\"alignnone wp-image-20991 size-full\" width=\"32\" height=\"32\" \/><br \/>\nOnline<br \/>\nCampus<\/button><\/a><a href=\"http:\/\/learn.bu.edu\"><button class=\"button\"><img loading=\"lazy\" src=\"\/csmet\/files\/2019\/03\/blackboard_Learn_32x32px.png\" alt=\"Blackboard Learn\" class=\"alignnone wp-image-20989 size-full\" width=\"32\" height=\"32\" \/><br \/>\nBlackboard<br \/>\nLearn<\/button><\/a><a href=\"https:\/\/www.bu.edu\/mybu\/\"><button class=\"button\"><img loading=\"lazy\" src=\"\/csmet\/files\/2019\/03\/student_link_32x32px.png\" alt=\"Student Link\" class=\"alignnone wp-image-20992 size-full\" width=\"32\" height=\"32\" \/><br \/>\nMyBU<br \/>\nStudent Portal<\/button><\/a><a href=\"https:\/\/bu.bncollege.com\/shop\/bu\/page\/find-textbooks\"><button class=\"button\"><img loading=\"lazy\" src=\"\/csmet\/files\/2019\/03\/textbook_information_32x32px.png\" alt=\"Textbook Information\" class=\"alignnone wp-image-20994 size-full\" width=\"32\" height=\"32\" \/><br \/>\nTextbook<br \/>\nInformation<\/button><\/a><a href=\"https:\/\/www.bu.edu\/online\/online-learning\/technology\/\"><button class=\"button\"><img loading=\"lazy\" src=\"\/csmet\/files\/2019\/03\/technical_requirements_32x32px.png\" alt=\"Technical Requirements\" class=\"alignnone wp-image-20993 size-full\" width=\"32\" height=\"32\" \/><br \/>\nTechnical<br \/>\nRequirements<\/button><\/a><a href=\"https:\/\/www.bu.edu\/csmet\/certificatecompletion\/?csspreview=true\"><button class=\"button\"><img loading=\"lazy\" src=\"\/csmet\/files\/2019\/03\/apply_to_graduate_32x32px.png\" alt=\"Certificate Completion\" class=\"alignnone wp-image-20988 size-full\" width=\"32\" height=\"32\" \/><br \/>\nCertificate<br \/>\nCompletion<\/button><\/a><a href=\"http:\/\/met.bu.edu\/inquirycs\"><button class=\"button\"><img loading=\"lazy\" src=\"\/csmet\/files\/2019\/03\/apply_to_graduate_32x32px.png\" alt=\"Request Information\" width=\"32\" height=\"32\" class=\"alignnone wp-image-20988 size-full\" \/><br \/>\nRequest<br \/>\nInformation<\/button><\/a><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>ON CAMPUS | ONLINE The graduate certificate program in data analytics will explore the intricacies of data analytics and expose students to various topics and tools related to data processing, analysis and visualization. Students will learn probability theory, statistical analysis methods and tools, generating relevant visual presentations of data, and concepts and techniques for data [&hellip;]<\/p>\n","protected":false},"author":2828,"featured_media":0,"parent":28,"menu_order":23,"comment_status":"closed","ping_status":"closed","template":"page-templates\/no-sidebars.php","meta":[],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/pages\/11116"}],"collection":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/users\/2828"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/comments?post=11116"}],"version-history":[{"count":50,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/pages\/11116\/revisions"}],"predecessor-version":[{"id":31982,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/pages\/11116\/revisions\/31982"}],"up":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/pages\/28"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/csmet\/wp-json\/wp\/v2\/media?parent=11116"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}