{"id":371,"date":"2024-11-12T16:50:51","date_gmt":"2024-11-12T21:50:51","guid":{"rendered":"https:\/\/www.golive.clarku.edu\/programs\/data-analytics-msda\/"},"modified":"2026-03-27T13:31:27","modified_gmt":"2026-03-27T17:31:27","slug":"data-analytics-msda","status":"publish","type":"clarku_program","link":"https:\/\/www.clarku.edu\/programs\/masters\/data-analytics-msda\/","title":{"rendered":"Data Analytics, M.S."},"content":{"rendered":"\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile is-image-fill-element hero-program has-background\" style=\"background-color:#2c5234;padding-top:0;padding-right:0;padding-bottom:0;padding-left:0;grid-template-columns:auto 60%\"><div class=\"wp-block-media-text__content\">\n<p class=\"intro has-white-color has-text-color has-link-color wp-elements-62d1f878c01b5baaaefdc6e7bcd74614\" style=\"padding-top:var(--wp--preset--spacing--10);padding-right:var(--wp--preset--spacing--10);padding-bottom:0;padding-left:var(--wp--preset--spacing--10);font-size:2rem;font-style:normal;font-weight:300\"><em><strong>Transform data into insight.<\/strong><\/em><\/p>\n\n\n\n<p class=\"intro has-white-color has-text-color has-link-color wp-elements-2d17670f8f14631a4d9a9d8b359b43b3\" style=\"padding-top:var(--wp--preset--spacing--10);padding-right:var(--wp--preset--spacing--10);padding-bottom:0;padding-left:var(--wp--preset--spacing--10);font-size:1.4rem;font-style:normal;font-weight:300\">There\u2019s an AI data revolution taking place. In a world where data is king, professionals skilled in data management and the practical application of Artificial Intelligence and Machine Learning are in high demand.<\/p>\n\n\n<div class=\"taxonomy-degree_type wp-block-post-terms\"><a href=\"https:\/\/www.clarku.edu\/programs\/?degree_type=masters\" rel=\"tag\">Master&#8217;s<\/a><\/div><\/div><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"880\" height=\"550\" src=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Canva-Person-Typing-on-Laptop-Computer-Near-Mug-on-Glass-Table-880x550-2.jpg\" alt=\"\" class=\"wp-image-2219 size-full\" style=\"object-position:50% 50%\" srcset=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Canva-Person-Typing-on-Laptop-Computer-Near-Mug-on-Glass-Table-880x550-2.jpg 880w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Canva-Person-Typing-on-Laptop-Computer-Near-Mug-on-Glass-Table-880x550-2-300x188.jpg 300w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Canva-Person-Typing-on-Laptop-Computer-Near-Mug-on-Glass-Table-880x550-2-768x480.jpg 768w\" sizes=\"auto, (max-width: 880px) 100vw, 880px\" \/><\/figure><\/div>\n\n\n\n<div class=\"wp-block-columns are-vertically-aligned-top sidebar-right is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p class=\"is-style-intro\">Effectively analyzing big data helps businesses become better, smarter, and faster \u2013 which is why experts in data analysis are urgently required. <\/p>\n\n\n\n<p>Looking ahead, the need for data analytics experts will only surge higher and demand for analysts far exceeds the number of qualified professionals out there.<\/p>\n\n\n\n<p>With courses focused on advanced analytics and data operations, you\u2019ll learn how to translate data into a usable asset. Our Master\u2019s of Science in Data Analytics will prepare you for a career in a technology-driven business environment \u2014 you\u2019ll delve deep into Python programming, advanced statistical analysis, and data mining and warehousing. Clark will prepare you to lead your organization to better business decisions and outcomes with confidence and skill by giving you the tools to find the story behind vast amounts of data.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-container-core-column-is-layout-c53c594d wp-block-column-is-layout-flow\" style=\"border-left-color:var(--wp--preset--color--warm-gray);border-left-width:0.17rem;padding-top:0;padding-right:0;padding-left:var(--wp--preset--spacing--20);flex-basis:33.33%\"><div style=\"color:inherit\" class=\"eyebrow  has-text-align-left\">Explore Data Analytics<\/div>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"arrow has-deep-red-color has-text-color has-link-color wp-elements-661245d01e06fba7c35bc8033829e61b\"><a href=\"https:\/\/www.clarku.edu\/schools\/professional-studies\/\">School of Professional Studies<\/a><\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"arrow has-deep-red-color has-text-color has-link-color wp-elements-5aad40f560228fc15ca40159b912d2f2\"><a href=\"https:\/\/www.clarku.edu\/schools\/professional-studies\/our-faculty\/\">Faculty<\/a><\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"arrow has-deep-red-color has-text-color has-link-color wp-elements-3f9de3c9709bb0a5037c05c8f0c9491a\"><a href=\"https:\/\/www.clarku.edu\/graduate-education\/graduate-admissions\/tuition-and-scholarships\/?program=data-analytics-ms\">Tuition and Scholarships<\/a><\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"arrow\"><a href=\"https:\/\/catalog.clarku.edu\/preview_program.php?catoid=35&amp;poid=7231&amp;returnto=2879\">All Data Analytics Courses<\/a><\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-small-font-size\" id=\"h-request-information\">Request information<\/h3>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<div id=\"form_8dd5ca66-da71-44c5-a7df-e6a1ab883f88\">Loading...<\/div><script async=\"async\" src=\"https:\/\/gradapply.clarku.edu\/register\/?id=8dd5ca66-da71-44c5-a7df-e6a1ab883f88&output=embed&div=form_8dd5ca66-da71-44c5-a7df-e6a1ab883f88\">\/**\/<\/script>\n\n\n<style>\r\n\t.form_h1,\r\n\t.form_h2 {\r\n\t\tdisplay: none;\r\n\t}\t\t\r\n<\/style>\r\n\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group has-white-color has-green-background-color has-text-color has-background has-link-color wp-elements-d942492a5fb64081b1015742f629054a is-layout-constrained wp-container-core-group-is-layout-52009084 wp-block-group-is-layout-constrained\" style=\"padding-top:var(--wp--preset--spacing--40);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40);padding-left:var(--wp--preset--spacing--40)\">\n<h2 class=\"wp-block-heading has-drop-shadow\" id=\"h-international-students\">International Students<\/h2>\n\n\n\n<p class=\"has-drop-shadow\">Candidates with science, technology, engineering, and mathematics (STEM) degrees are sought after across most major industries in the United States. When you graduate with a STEM-designated degree such as the Master of Science in Data Analytics, you may be eligible to remain in this country for up to 36 months on Optional Practical Training (OPT).<\/p>\n<\/div>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-stretch is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:40%\">\n<div class=\"wp-block-cover is-light\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1707\" class=\"wp-block-cover__image-background wp-image-4082\" alt=\"a student works with GIS data\" src=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/2024-Rowan-GIS-NH-00-2-scaled.jpg\" style=\"object-position:73% 27%\" data-object-fit=\"cover\" data-object-position=\"73% 27%\"\/><span aria-hidden=\"true\" class=\"wp-block-cover__background has-background-dim-0 has-background-dim\"><\/span><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<p class=\"has-text-align-center has-large-font-size\"><\/p>\n<\/div><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\">\n<h3 class=\"wp-block-heading\" id=\"h-why-a-master-s-in-data-analytics-at-clark-university\">Why a Master\u2019s in Data Analytics at Clark University<\/h3>\n\n\n\n<ul class=\"wp-block-list is-style-checkmark-list\">\n<li>Flexible online format with access to a robust portfolio of electives, allowing you to construct an experience that drives your own individual career aspirations.<\/li>\n\n\n\n<li>Distinctive practitioner-scholar instructor model brings pragmatic real-world expertise to life in the classroom.<\/li>\n\n\n\n<li>Suited to fit the needs of the modern workforce, with a curriculum that fosters both technical and \u2018soft\u2019 skills, like storytelling with data.<\/li>\n\n\n\n<li>Develops system architects to prepare data for advanced analytics.<\/li>\n\n\n\n<li>Longstanding history of close collaboration with local and regional organizations, ensuring research, internship, and employment opportunities.<\/li>\n\n\n\n<li>Highly ranked institution with robust experience in technically oriented programs and quantitative methods.<\/li>\n<\/ul>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group alignfull no-gap has-white-background-color has-background is-layout-constrained wp-container-core-group-is-layout-52009084 wp-block-group-is-layout-constrained\" style=\"padding-top:var(--wp--preset--spacing--40);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40);padding-left:var(--wp--preset--spacing--40)\">\n<h2 class=\"wp-block-heading has-text-align-center\" id=\"h-student-spotlight\">Student Spotlight<\/h2>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"320\" height=\"320\" src=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/azubuine2.jpg\" alt=\"Ugochukwu (UG) Azubuine, MSDA \u201926\" class=\"wp-image-9553\" style=\"aspect-ratio:1;object-fit:cover\" srcset=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/azubuine2.jpg 320w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/azubuine2-300x300.jpg 300w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/azubuine2-150x150.jpg 150w\" sizes=\"auto, (max-width: 320px) 100vw, 320px\" \/><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-ugochukwu-ug-azubuine-msda-26\">Ugochukwu (UG) Azubuine, MSDA \u201926<\/h4>\n\n\n\n<p><em>&#8220;The&nbsp;MSDA&nbsp;program at Clark University is very comprehensive, with courses that cover all major areas of data analytics while providing hands-on experience with industry-relevant tools and techniques. I appreciate how the curriculum is continuously&nbsp;updated to reflect current trends, ensuring students stay equipped with the latest skills. Through the well-curated coursework, I gained a strong foundation in various aspects of data analytics and discovered the area in which I\u2019m most passionate. This experience has helped me define my career path and strengthened my confidence in pursuing it.&#8221;<\/em><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"320\" height=\"320\" src=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/kulkarni2.jpg\" alt=\"Prathamesh Kulkarni, MSDA \u201926\" class=\"wp-image-9554\" style=\"aspect-ratio:1;object-fit:cover\" srcset=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/kulkarni2.jpg 320w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/kulkarni2-300x300.jpg 300w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/kulkarni2-150x150.jpg 150w\" sizes=\"auto, (max-width: 320px) 100vw, 320px\" \/><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-prathamesh-kulkarni-msda-26\">Prathamesh Kulkarni, MSDA \u201926<\/h4>\n\n\n\n<p><em>&#8220;My experience at Clark has been truly worthwhile because of the welcoming spirit of the SPS faculty and staff, the knowledgeable and up-to-date professors, and the beautiful campus that creates an inspiring place to learn and grow. Being part of this community has strengthened my professionalism, nurtured a positive mindset, and encouraged me to always put my best foot forward. I will carry forward these qualities with me into all my future endeavors.&#8221;<\/em><\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"320\" height=\"320\" src=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Jasti2.jpg\" alt=\"Tarun Jasti, MSDA \u201926\" class=\"wp-image-9555\" style=\"aspect-ratio:1;object-fit:cover\" srcset=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Jasti2.jpg 320w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Jasti2-300x300.jpg 300w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Jasti2-150x150.jpg 150w\" sizes=\"auto, (max-width: 320px) 100vw, 320px\" \/><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"h-tarun-jasti-msda-26\">Tarun Jasti, MSDA \u201926<\/h4>\n\n\n\n<p><em>&#8220;One of the biggest reasons I value my experience at Clark SPS is how seamlessly the professors connect classroom learning with real industry practice. Every course feels grounded in what actually happens in the field, and that gave me clarity, confidence, and a real sense of direction. Clark didn\u2019t just teach me data analytics \u2014 it helped me understand how to use it to create impact.&#8221;<\/em><\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group alignfull no-gap has-gray-100-background-color has-background is-layout-constrained wp-container-core-group-is-layout-8fc5a206 wp-block-group-is-layout-constrained\" style=\"margin-top:0px;padding-top:var(--wp--preset--spacing--40);padding-right:var(--wp--preset--spacing--40);padding-bottom:0;padding-left:var(--wp--preset--spacing--40)\">\n<h2 class=\"wp-block-heading has-text-align-center\" id=\"h-nbsp-msda-alumni-success-beyond-the-classroom\">&nbsp;MSDA Alumni \u2013 Success Beyond the Classroom<\/h2>\n\n\n<section class=\"splide cu_carousel\" id=\"cu_carousel_0\" aria-label=\"Basic Structure Example\">\n    <div class=\"splide__track\">\n        <div class=\"splide__list\">\n            \n\n<div class=\"wp-block-clarku-slide splide__slide\">\n<div class=\"wp-block-group testimonial is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:20rem\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"320\" height=\"320\" src=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Mishel-Gleny-Pinto.jpg\" alt=\"Mishel Gleny Pinto MSDA \u201925\" class=\"wp-image-9556\" srcset=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Mishel-Gleny-Pinto.jpg 320w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Mishel-Gleny-Pinto-300x300.jpg 300w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Mishel-Gleny-Pinto-150x150.jpg 150w\" sizes=\"auto, (max-width: 320px) 100vw, 320px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-small-font-size\">&#8220;<em>One reason I chose Clark is that all the professors are also practitioners. They combine textbook learning and years of research with first-hand experience working in the industry. They helped me bridge the gap between academics and industry.<\/em>&#8220;Clark didn&#8217;t just sharpen my technical skills\u2014it fundamentally transformed how I see technology&#8217;s role in creating real business impact. The program consistently pushed me beyond my comfort zone, challenging me to think bigger and broader about how technology drives results. I graduated as a confident, well-rounded professional ready to make difference.&#8221;<\/p>\n<cite>\u2014<strong>Mishel Gleny Pinto MSDA \u201925<\/strong><\/cite><\/blockquote>\n\n\n\n<p class=\"testimonial-title\"><em>Solution Engineer, Salesforce<\/em><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-clarku-slide splide__slide\">\n<div class=\"wp-block-group testimonial is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:20rem\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"320\" height=\"320\" src=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Pranjal-Pramod-Bhagat.jpg\" alt=\"Pranjal Pramod Bhagat MSDA \u201924\" class=\"wp-image-9557\" srcset=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Pranjal-Pramod-Bhagat.jpg 320w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Pranjal-Pramod-Bhagat-300x300.jpg 300w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Pranjal-Pramod-Bhagat-150x150.jpg 150w\" sizes=\"auto, (max-width: 320px) 100vw, 320px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-small-font-size\">&#8220;Clark University has been foundational to my growth as a data and analytics professional. The combination of comprehensive coursework in data storytelling, data engineering, and advanced analytics, along with immersive hands-on learning through classroom activities, group discussions, and the capstone project, equipped me with strong technical skills and the communication and leadership abilities essential in today\u2019s industry. My professors consistently encouraged practical problem solving and real world application, helping me build a portfolio that ultimately led to a full-time role. The supportive and collaborative Clark community created an environment where I could explore my interests, expand my capabilities, and confidently pursue my career goals.&#8221;<\/p>\n<cite>\u2014<strong><strong>Pranjal Pramod Bhagat MSDA \u201924<\/strong><\/strong><\/cite><\/blockquote>\n\n\n\n<p class=\"testimonial-title\"><em>Assistant Director, Marketing Analytics, Bentley University<\/em><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-clarku-slide splide__slide\">\n<div class=\"wp-block-group testimonial is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:20rem\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"320\" height=\"320\" src=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Linda-Pham.jpg\" alt=\"Linda Pham MSDA\u201924 \" class=\"wp-image-9559\" srcset=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Linda-Pham.jpg 320w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Linda-Pham-300x300.jpg 300w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Linda-Pham-150x150.jpg 150w\" sizes=\"auto, (max-width: 320px) 100vw, 320px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-small-font-size\">&#8220;The program truly welcomes students from diverse academic backgrounds like mine. Coming from a Finance background, I appreciated how the program was designed to help students from various fields build strong technical and analytical skills. The faculty and curriculum made it easy to connect my prior knowledge with data-driven approaches, allowing me to transition smoothly into analytics.&#8221;<\/p>\n<cite>\u2014<strong><strong><strong><strong>Linda Pham MSDA\u201924<\/strong><\/strong><\/strong><\/strong><\/cite><\/blockquote>\n\n\n\n<p class=\"testimonial-title\"><em>Data Analyst at National Institute for Student Success<\/em><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-clarku-slide splide__slide\">\n<div class=\"wp-block-group testimonial is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:20rem\">\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"320\" height=\"320\" src=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Varshitha-Manjunath.jpg\" alt=\"Varshitha Manjunath MSDA \u201923\" class=\"wp-image-9558\" srcset=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Varshitha-Manjunath.jpg 320w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Varshitha-Manjunath-300x300.jpg 300w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Varshitha-Manjunath-150x150.jpg 150w\" sizes=\"auto, (max-width: 320px) 100vw, 320px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-small-font-size\">&#8220;My time at Clark University was truly transformative. The Data Analytics program not only equipped me with strong technical skills but also helped me discover my passion for cybersecurity. One of the most impactful aspects of the program was the internship experience, where I had the opportunity to apply my data science skills in a real-world setting.<\/p>\n\n\n\n<details class=\"wp-block-details is-layout-flow wp-block-details-is-layout-flow\"><summary>View more<\/summary>\n<p>During my internship, I was placed on a cybersecurity team, which opened my eyes to the powerful intersection between data analytics and cyber defense. I learned to identify patterns, extract insights, and think critically about threats and vulnerabilities, skills that are essential in both fields. <\/p>\n\n\n\n<p>The connections I made at Clark were invaluable, and the mentorship I received helped shape my professional journey. Today, I lead the&nbsp;<a href=\"https:\/\/youtube.com\/shorts\/P0Blr1-ZbQ0?si=zR9MfLO8ba2rT_LK\" target=\"_blank\" rel=\"noreferrer noopener\">Cybersecurity program at Lasell University,<\/a>&nbsp;where I continue to apply the principles I learned and share them with the next generation of cybersecurity professionals.&#8221;<\/p>\n<\/details>\n<cite>\u2014<strong><strong><strong>Varshitha Manjunath MSDA \u201923<\/strong><\/strong><\/strong><\/cite><\/blockquote>\n\n\n\n<p class=\"testimonial-title\"><em>Assistant Professor of Cybersecurity, Lasell University<\/em><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n        <\/div>\n    <\/div>\n<\/section>\n<script>\n    let cu_carousel_0 = new Splide( '#cu_carousel_0',{\n        type   : 'loop',\n        perPage: 1,\n        perMove: 1,\n        focus  : 'center',\n        pagination:false,\n        updateOnMove: true,\n        gap:'2.5rem',\n        breakpoints: {\n            768: {\n                perPage: 1,\n                arrows: true,\n                pagination: false            },\n            1279: {\n                perPage: Math.min(2, 1) ,\n                arrows: true,\n                pagination: false            },\n        }\n    } );\n    cu_carousel_0.on( 'mounted', function () {\n        cu_carousel_0.Components.Slides.forEach(component => {\n\t\t\tcomponent.slide.style.alignSelf = 'start'\n\t\t})\n    } );\n    cu_carousel_0.mount();\n<\/script>\n<\/div>\n\n\n\n<div class=\"wp-block-group alignfull is-layout-constrained wp-container-core-group-is-layout-52009084 wp-block-group-is-layout-constrained\" style=\"padding-top:var(--wp--preset--spacing--40);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--40);padding-left:var(--wp--preset--spacing--40)\">\n<div class=\"wp-block-media-text has-media-on-the-right is-stacked-on-mobile\"><div class=\"wp-block-media-text__content\">\n<h2 class=\"wp-block-heading\" id=\"h-no-data-science-background-no-problem\">No Data Science Background? No Problem.<\/h2>\n\n\n\n<p>Clark offers courses that deliver the foundational knowledge students need to earn a Clark MSDA. Students who successfully complete these courses can seamlessly transition to full-time study in as little as one semester:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Object-Oriented Programming<\/li>\n\n\n\n<li>Mathematical Foundations for Data Analytics<\/li>\n\n\n\n<li>Algorithms and Data Structures<\/li>\n<\/ul>\n<\/div><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"900\" height=\"578\" src=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/2022-Dilasha-Shrestha-8.jpg\" alt=\"\" class=\"wp-image-2209 size-full\" srcset=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/2022-Dilasha-Shrestha-8.jpg 900w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/2022-Dilasha-Shrestha-8-300x193.jpg 300w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/2022-Dilasha-Shrestha-8-768x493.jpg 768w\" sizes=\"auto, (max-width: 900px) 100vw, 900px\" \/><\/figure><\/div>\n<\/div>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<div class=\"wp-block-columns stagger-left no-gap abut-end is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-cover abut-end has-true-black-color has-text-color has-link-color wp-elements-217e814c8c6428241aef345c5aac8057\" style=\"padding-top:var(--wp--preset--spacing--20);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--20);padding-left:var(--wp--preset--spacing--40)\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-gray-100-background-color has-background-dim-100 has-background-dim\"><\/span><div class=\"wp-block-cover__inner-container is-layout-constrained wp-container-core-cover-is-layout-6f90b940 wp-block-cover-is-layout-constrained\"><div style=\"color:inherit\" class=\"eyebrow  has-text-align-left\">curriculum<\/div>\n\n\n\n<p class=\"has-charcoal-color has-text-color has-link-color has-small-font-size wp-elements-a30dacb1e3342ca53680a8ecee251d53\">Designed for flexibility with your busy schedule, our program can be completed on a part-time basis either online or on campus. Students studying full-time can earn their degree in less than two years. Start dates for the program are in January and September.<\/p>\n\n\n<div style=\"color:inherit\" class=\"eyebrow  has-text-align-left\">requirements<\/div>\n\n\n\n<p class=\"has-small-font-size\">10 course units<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>8 core courses<\/li>\n\n\n\n<li>2 electives<\/li>\n<\/ul>\n\n\n\n<p class=\"arrow\"><strong><a href=\"https:\/\/catalog.clarku.edu\/preview_program.php?catoid=35&amp;poid=7231&amp;returnto=2879%20#requiredcourses\">View Course Catalog<\/a><\/strong><\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-cover abut-end has-black-color has-text-color has-link-color has-medium-font-size wp-elements-1c49d3f56579b6196b8be1d0cab64aed\" style=\"padding-top:var(--wp--preset--spacing--30);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--30);padding-left:var(--wp--preset--spacing--40)\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-light-blue-background-color has-background-dim-100 has-background-dim\"><\/span><div class=\"wp-block-cover__inner-container is-layout-constrained wp-container-core-cover-is-layout-3f8c44ea wp-block-cover-is-layout-constrained\"><div style=\"color:inherit\" class=\"eyebrow  has-text-align-left\">career path for MSDA graduates<\/div>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Data Analytics<\/li>\n\n\n\n<li>Data Analyst Marketing Analyst<\/li>\n\n\n\n<li>Data Science<\/li>\n\n\n\n<li>Data Scientist Machine Learning Engineer<\/li>\n\n\n\n<li>Business Intelligence &amp; Visualization<\/li>\n\n\n\n<li>Business Intelligence Analyst BI Developer<\/li>\n\n\n\n<li>Data Engineering<\/li>\n\n\n\n<li>Data Engineer Data Architect<\/li>\n<\/ul>\n<\/div><\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-top is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-cover abut-end has-white-color has-text-color has-link-color wp-elements-80830dfd16b6de887c224c2661e44c18\" style=\"padding-top:var(--wp--preset--spacing--10);padding-right:var(--wp--preset--spacing--40);padding-bottom:var(--wp--preset--spacing--10);padding-left:var(--wp--preset--spacing--40);min-height:36rem;aspect-ratio:unset;\"><span aria-hidden=\"true\" class=\"wp-block-cover__background has-gray-600-background-color has-background-dim-100 has-background-dim\"><\/span><div class=\"wp-block-cover__inner-container is-layout-constrained wp-container-core-cover-is-layout-73b89f41 wp-block-cover-is-layout-constrained\"><div style=\"color:var(--clarku-color-white)\" class=\"eyebrow has-drop-shadow has-text-align-left\">Career communities<\/div>\n\n\n\n<p class=\"has-drop-shadow has-heading-font-family has-medium-font-size\" style=\"font-style:normal;font-weight:300\">The emergence of a complex data environment (largely created as a result of cloud-based computing and internet activity) has generated an urgent need for organizations to understand data at various levels of complexity. Today, companies are leveraging data to improve customer experiences, open new markets, make employees and processes more productive, and create new sources of competitive advantage.&nbsp; Functional data analysts are in high demand across all industries, including financial services, health care, and retail \u2013 three of central Massachusetts\u2019 largest employers. Worldwide demand for data analytics is only expected to surge, growing 33% through 2026 with average starting salaries at approximately $92,000 (PricewaterhouseCoopers).<\/p>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-group section is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-columns are-vertically-aligned-center is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\">\n<h2 class=\"wp-block-heading\" id=\"h-msda-capstone-projects-showcase\">MSDA Capstone Projects Showcase<\/h2>\n\n\n\n<p>The MSDA Capstone Projects Showcase is a dynamic celebration of innovation, problem-solving, and applied learning. As the culminating experience of the program, students present real-world data analytics projects developed in collaboration with industry partners, nonprofit organizations, government agencies, or based on their own research interests.<\/p>\n\n\n\n<p>Each project reflects the student\u2019s ability to turn complex data into meaningful insights using advanced tools in machine learning, data visualization, predictive analytics, and more. The showcase provides an opportunity for students to demonstrate not only technical skills but also critical thinking, storytelling, and the ability to drive data-informed decision-making.<\/p>\n\n\n\n<p>Attended by faculty, peers, alumni, and industry guests, the showcase highlights the power of analytics to tackle real challenges across sectors \u2014 from healthcare and finance to marketing, social impact, and beyond.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:40%\">\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"339\" height=\"399\" src=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Picture1.jpg\" alt=\"\" class=\"wp-image-9549\" style=\"aspect-ratio:0.75;object-fit:cover;width:408px;height:auto\" srcset=\"https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Picture1.jpg 339w, https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/Picture1-255x300.jpg 255w\" sizes=\"auto, (max-width: 339px) 100vw, 339px\" \/><\/figure>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-frequently-asked-questions\">Frequently Asked Questions<\/h2>\n\n\n\n<details class=\"wp-block-details is-style-faq is-layout-flow wp-block-details-is-layout-flow\"><summary>What data analytics skills will I learn?<\/summary>\n<ul class=\"wp-block-list\">\n<li>Driving business growth through the use of data and advanced analytics<\/li>\n\n\n\n<li>Leading strategic projects to create opportunity for data-driven decision-making<\/li>\n\n\n\n<li>Investigating and diagnosing complex data interaction issues<\/li>\n\n\n\n<li>Data warehouse design and optimization<\/li>\n\n\n\n<li>Architect analytics solutions to find hidden opportunities and gain competitive advantage<\/li>\n<\/ul>\n<\/details>\n\n\n\n<details class=\"wp-block-details is-style-faq is-layout-flow wp-block-details-is-layout-flow\"><summary>What are the student learning outcomes?<\/summary>\n<p><strong>Learning Outcomes and Competencies \u2013 School of Professional Studies<\/strong><\/p>\n\n\n\n<p>The following sections talk about the specific programmatic outcomes for each credential.&nbsp; For programs at the Masters level, a core of five core operational competencies informs our theoretical framework for all Clark University School of Professional Studies Master\u2019s degrees. Graduate certificates are not held to the same holistic standard as they are considered to be narrower in focus and more applied in practice.&nbsp; For the credentials at the Masters level, those competencies are:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td colspan=\"2\"><strong>Core Competencies for SPS Master\u2019s Degrees<\/strong><\/td><\/tr><tr><td>Organizational Systems&nbsp;OR&nbsp;Foundational Elements for STEM Programs<\/td><td>Developing an appreciation and understanding of the interdependence of the parts of a system will result in effectively and efficiently assisting an organization by developing its strategy and delivering its intended mission.&nbsp; For STEM credentials, a solid foundation in analytical and diagnostic competencies which will enable the student to succeed from a technological perspective.<\/td><\/tr><tr><td>Ethics and Social Responsibility&nbsp;<\/td><td>The SPS curriculum will stress the importance of ethics and corporate social responsibility, so all SPS students are aware of the advantages of ethical behavior in business and professional life, and can act from a moral point of view. The notions of ethics and social responsibility are extended to STEM programming through the lens of the issue of data and programming integrity that can inform systems and analytical architecture that is applied in a fair and equitable manner.<\/td><\/tr><tr><td>Applied Research<\/td><td>As a professional, SPS graduates will have the ability to call upon research methodologies to solve practical problems organizations and individuals encounter.&nbsp; Our professional focus demands that informed research is a core value to knowledgeable problem-solving.<\/td><\/tr><tr><td>Workplace Dynamics, Communication, and Career Management&nbsp;OR&nbsp;Core Technologies Necessary to Meet STEM Industry Standards<\/td><td>Workplace dynamics involve the relationships among the members of an organization, including departmental and interpersonal relationships. The capacity to communicate effectively is an essential skill for the successful professional. Career is an integral component of a professional\u2019s life, and career can be maximized by an awareness of opportunities available consistent with individual talents. &nbsp;For STEM-based programs, core technological applications and industry standards will be presented to form a foundation of programming and problem-solving competencies for a successful workplace experience.<\/td><\/tr><tr><td>Theoretical Grounding<\/td><td>Each SPS degree is part of a field of study based upon a collection of theories that have proven to be effective when applied to challenges. Students will develop an appreciation for how arguments are used to explain, predict, and understand phenomena.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td colspan=\"2\"><strong>MS in Data Analytics<\/strong><\/td><\/tr><tr><td>Operational Competency<\/td><td>Learning Outcomes<\/td><\/tr><tr><td>Foundational Elements for STEM Programs \u2013 Linear Regression and Time Series AND Mathematical Statistics<\/td><td>Simple and multiple regressions, serial correlation, and heteroscedasticity.Analysis of residuals and stepwise analysis techniques.Time series analysis including smoothing and extrapolation of time series.Linear time series models, model building procedure, and forecasting, as well as case studies.&nbsp;Teach in R as appropriate.Interval estimation.Point estimation including sufficiency, Rao-Blackwell theorem, completeness, uniqueness, Rao-Cramer inequality, and maximum likelihood estimation.Tests of hypothesis: uniformly most powerful tests, uniformly most powerful unbiased tests, likelihood ratio test, chi-squared test, comparison of means and variances. ANOVA, regression, and some nonparametric tests.<\/td><\/tr><tr><td>Ethics and Social Responsibility \u2013 MSIT3860 Data Management for Information Technologies<\/td><td>PlanningSynthesize and communicate the data needs for BI systems.&nbsp; Design and communicate data projects\u2019 goals and plans for integrity and organizational goals and mission.Define and communicate the roles and responsibilities of BI data users and administrators for organizational good.OperationDesign and communicate data management system administration, and security procedures and policies in compliance with laws and organizational ethics.Design and communicate procedures for data backup and recovery, upgrade, and migration to uphold data integrity and privacy concerns.TechnologyDescribe and compare and contrast database architectures (relational, hierarchical, star, cube, etc.) and data warehousing approaches (Kimball\u2019s vs. Inmon\u2019s).Design and communicate data models for initiatives.Design and communicate procedures for data integration.Describe components of data storage solutions.<\/td><\/tr><tr><td>Core Technologies Necessary to Meet STEM Industry Standards \u2013 MSIT3090 Python Programming AND MSIT3350 Data Mining with Splunk<\/td><td>Learn to apply the terminology, methods, and skills associated with the application of Python in Data Analytics.Review and become proficient in basic Python functionality such as control structures and methods, classes, arrays, and strings.Be able to apply more advanced techniques like inheritance and polymorphism, creating user interfaces, and exceptions and streams.Be able to write Python scripts to perform a number of data acquisition, translation, and analysis tasks. Gain experience importing various open-source modules to visualize data sets. Students will be able to discuss the importance of mining machine data in real time.Students will be able to discuss the difference between Business Intelligence and Operational Intelligence.Students will be able to discuss and explain the 5 dimensions of Big Data.Students will be able to discuss descriptive, predictive, and prescriptive analytics.Students will be able to install and configure the latest version of Splunk.Students will be able to use Splunk to gather, analyze, and report data.Students will be able to create Splunk dashboards and visualizations that make data meaningful.Students will be able to develop Splunk Apps.<\/td><\/tr><tr><td>Applied Research \u2013 MSIT3999 Capstone<\/td><td>Knowledge: Demonstrate competency in the area of data analytics through the application of the essential elements acquired from core and elective courses. Capability to construct and implement solutions to solve real world issues.Skills: Demonstrate critical thinking; specifically employ appropriate analytical models and apply critical reasoning processes to evaluate evidence, select among alternatives, and generate creative options in furtherance of effective decision making.Professional Behavior:&nbsp; Demonstrate teamwork and leadership skills, specifically function in a variety of work groups using appropriate leadership skills and styles.Communication: Demonstrate effective communication skills when working with stakeholders and diverse constituents. Evidence of ability to write capstone required documents clearly, concisely, and analytically for various stakeholders.&nbsp; Ability to confidently present in public setting with appropriate use of visual aids.<\/td><\/tr><tr><td>Theoretical Grounding \u2013 Machine Learning<\/td><td>Developing a basic understanding of the fundamental concepts, terminology, and theory of machine learning.Learning to use some common tools for machine learning.Learning the methodologies of machine learning, including:Data gathering, preparation, and archivingChoosing specific techniques and algorithmsModel training and hyper parameter tuningModel evaluationVisualization<\/td><\/tr><\/tbody><\/table><\/figure>\n<\/details>\n\n\n\n<details class=\"wp-block-details is-style-faq is-layout-flow wp-block-details-is-layout-flow\"><summary>Will I get prior learning credit?<\/summary>\n<p>Incoming students with a strong math or programming background (i.e., candidates holding a B.S. in Computer Science) may waive up to 2 required courses and replace them with two other course options.<\/p>\n\n\n\n<p>We also recognize the valuable experience and perspectives that working professionals bring to the class. If you are a student with three or more years in a professional position or hold an industry-standard certification, you can apply for the Assessment of Prior Learning (APL) credit.<\/p>\n\n\n\n<p>You may be awarded APL credit for up to two (2) graduate courses, enabling you to complete your degree more quickly and cost effectively. (An administrative fee is applied if the APL credit is approved).<\/p>\n<\/details>\n\n\n\n<div class=\"wp-block-group alignfull closer is-layout-constrained wp-block-group-is-layout-constrained has-background\" style=\"min-height:40vh;background-image:url(&apos;https:\/\/www.clarku.edu\/programs\/wp-content\/uploads\/sites\/2\/2024\/11\/graduate-student2.jpg&apos;);background-position:67% 72%;background-size:cover;background-attachment:scroll;\">\n<div class=\"wp-block-group is-content-justification-left is-nowrap is-layout-flex wp-container-core-group-is-layout-fc9f69e7 wp-block-group-is-layout-flex\">\n<div class=\"wp-block-group color has-white-color has-deep-red-background-color has-text-color has-background has-link-color wp-elements-2c4fff1baf6bbc94eb624d312ffb35c3 is-layout-constrained wp-container-core-group-is-layout-c399be0d wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading has-x-large-font-size\">Academic Excellence. Global Reach. Career Success.<\/h3>\n\n\n\n<p>Join our supportive community of scholars. 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Looking ahead, the need for data analytics experts will only surge higher and demand for analysts far exceeds the number of qualified professionals out there. With courses focused on advanced analytics and data [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":208,"parent":0,"template":"single-clarku_program","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"tags":[145,143],"interest_area":[12,11],"degree_type":[18],"class_list":["post-371","clarku_program","type-clarku_program","status-publish","has-post-thumbnail","hentry","tag-graduate","tag-stem","interest_area-business-marketing-and-entrepreneurship","interest_area-science-data-and-technology","degree_type-masters"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Data Analytics, M.S. | Programs | Clark University<\/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.clarku.edu\/programs\/masters\/data-analytics-msda\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Analytics, M.S.\" \/>\n<meta property=\"og:description\" content=\"Effectively analyzing big data helps businesses become better, smarter, and faster \u2013 which is why experts in data analysis are urgently required. 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advantage\",\"inLanguage\":\"en-US\"},\"inLanguage\":\"en-US\"},{\"@type\":\"Question\",\"@id\":\"https:\\\/\\\/www.clarku.edu\\\/programs\\\/masters\\\/data-analytics-msda\\\/#faq-2\",\"position\":2,\"url\":\"https:\\\/\\\/www.clarku.edu\\\/programs\\\/masters\\\/data-analytics-msda\\\/#faq-2\",\"name\":\"What are the student learning outcomes?\",\"answerCount\":\"1\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<strong>Learning Outcomes and Competencies \u2013 School of Professional Studies<\\\/strong>\\nThe following sections talk about the specific programmatic outcomes for each credential.&nbsp; For programs at the Masters level, a core of five core operational competencies informs our theoretical framework for all Clark University School of Professional Studies Master\u2019s degrees. Graduate certificates are not held to the same holistic standard as they are considered to be narrower in focus and more applied in practice.&nbsp; For the credentials at the Masters level, those competencies are:\\n<strong>Core Competencies for SPS Master\u2019s Degrees<\\\/strong>Organizational Systems&nbsp;OR&nbsp;Foundational Elements for STEM ProgramsDeveloping an appreciation and understanding of the interdependence of the parts of a system will result in effectively and efficiently assisting an organization by developing its strategy and delivering its intended mission.&nbsp; For STEM credentials, a solid foundation in analytical and diagnostic competencies which will enable the student to succeed from a technological perspective.Ethics and Social Responsibility&nbsp;The SPS curriculum will stress the importance of ethics and corporate social responsibility, so all SPS students are aware of the advantages of ethical behavior in business and professional life, and can act from a moral point of view. The notions of ethics and social responsibility are extended to STEM programming through the lens of the issue of data and programming integrity that can inform systems and analytical architecture that is applied in a fair and equitable manner.Applied ResearchAs a professional, SPS graduates will have the ability to call upon research methodologies to solve practical problems organizations and individuals encounter.&nbsp; Our professional focus demands that informed research is a core value to knowledgeable problem-solving.Workplace Dynamics, Communication, and Career Management&nbsp;OR&nbsp;Core Technologies Necessary to Meet STEM Industry StandardsWorkplace dynamics involve the relationships among the members of an organization, including departmental and interpersonal relationships. The capacity to communicate effectively is an essential skill for the successful professional. Career is an integral component of a professional\u2019s life, and career can be maximized by an awareness of opportunities available consistent with individual talents. &nbsp;For STEM-based programs, core technological applications and industry standards will be presented to form a foundation of programming and problem-solving competencies for a successful workplace experience.Theoretical GroundingEach SPS degree is part of a field of study based upon a collection of theories that have proven to be effective when applied to challenges. Students will develop an appreciation for how arguments are used to explain, predict, and understand phenomena.\\n<strong>MS in Data Analytics<\\\/strong>Operational CompetencyLearning OutcomesFoundational Elements for STEM Programs \u2013 Linear Regression and Time Series AND Mathematical StatisticsSimple and multiple regressions, serial correlation, and heteroscedasticity.Analysis of residuals and stepwise analysis techniques.Time series analysis including smoothing and extrapolation of time series.Linear time series models, model building procedure, and forecasting, as well as case studies.&nbsp;Teach in R as appropriate.Interval estimation.Point estimation including sufficiency, Rao-Blackwell theorem, completeness, uniqueness, Rao-Cramer inequality, and maximum likelihood estimation.Tests of hypothesis: uniformly most powerful tests, uniformly most powerful unbiased tests, likelihood ratio test, chi-squared test, comparison of means and variances. ANOVA, regression, and some nonparametric tests.Ethics and Social Responsibility \u2013 MSIT3860 Data Management for Information TechnologiesPlanningSynthesize and communicate the data needs for BI systems.&nbsp; Design and communicate data projects\u2019 goals and plans for integrity and organizational goals and mission.Define and communicate the roles and responsibilities of BI data users and administrators for organizational good.OperationDesign and communicate data management system administration, and security procedures and policies in compliance with laws and organizational ethics.Design and communicate procedures for data backup and recovery, upgrade, and migration to uphold data integrity and privacy concerns.TechnologyDescribe and compare and contrast database architectures (relational, hierarchical, star, cube, etc.) and data warehousing approaches (Kimball\u2019s vs. Inmon\u2019s).Design and communicate data models for initiatives.Design and communicate procedures for data integration.Describe components of data storage solutions.Core Technologies Necessary to Meet STEM Industry Standards \u2013 MSIT3090 Python Programming AND MSIT3350 Data Mining with SplunkLearn to apply the terminology, methods, and skills associated with the application of Python in Data Analytics.Review and become proficient in basic Python functionality such as control structures and methods, classes, arrays, and strings.Be able to apply more advanced techniques like inheritance and polymorphism, creating user interfaces, and exceptions and streams.Be able to write Python scripts to perform a number of data acquisition, translation, and analysis tasks. Gain experience importing various open-source modules to visualize data sets. Students will be able to discuss the importance of mining machine data in real time.Students will be able to discuss the difference between Business Intelligence and Operational Intelligence.Students will be able to discuss and explain the 5 dimensions of Big Data.Students will be able to discuss descriptive, predictive, and prescriptive analytics.Students will be able to install and configure the latest version of Splunk.Students will be able to use Splunk to gather, analyze, and report data.Students will be able to create Splunk dashboards and visualizations that make data meaningful.Students will be able to develop Splunk Apps.Applied Research \u2013 MSIT3999 CapstoneKnowledge: Demonstrate competency in the area of data analytics through the application of the essential elements acquired from core and elective courses. Capability to construct and implement solutions to solve real world issues.Skills: Demonstrate critical thinking; specifically employ appropriate analytical models and apply critical reasoning processes to evaluate evidence, select among alternatives, and generate creative options in furtherance of effective decision making.Professional Behavior:&nbsp; Demonstrate teamwork and leadership skills, specifically function in a variety of work groups using appropriate leadership skills and styles.Communication: Demonstrate effective communication skills when working with stakeholders and diverse constituents. Evidence of ability to write capstone required documents clearly, concisely, and analytically for various stakeholders.&nbsp; Ability to confidently present in public setting with appropriate use of visual aids.Theoretical Grounding \u2013 Machine LearningDeveloping a basic understanding of the fundamental concepts, terminology, and theory of machine learning.Learning to use some common tools for machine learning.Learning the methodologies of machine learning, including:Data gathering, preparation, and archivingChoosing specific techniques and algorithmsModel training and hyper parameter tuningModel evaluationVisualization\",\"inLanguage\":\"en-US\"},\"inLanguage\":\"en-US\"},{\"@type\":\"Question\",\"@id\":\"https:\\\/\\\/www.clarku.edu\\\/programs\\\/masters\\\/data-analytics-msda\\\/#faq-3\",\"position\":3,\"url\":\"https:\\\/\\\/www.clarku.edu\\\/programs\\\/masters\\\/data-analytics-msda\\\/#faq-3\",\"name\":\"Will I get prior learning credit?\",\"answerCount\":\"1\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Incoming students with a strong math or programming background (i.e., candidates holding a B.S. in Computer Science) may waive up to 2 required courses and replace them with two other course options.\\nWe also recognize the valuable experience and perspectives that working professionals bring to the class. If you are a student with three or more years in a professional position or hold an industry-standard certification, you can apply for the Assessment of Prior Learning (APL) credit.\\nYou may be awarded APL credit for up to two (2) graduate courses, enabling you to complete your degree more quickly and cost effectively. 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analytics\nLeading strategic projects to create opportunity for data-driven decision-making\nInvestigating and diagnosing complex data interaction issues\nData warehouse design and optimization\nArchitect analytics solutions to find hidden opportunities and gain competitive advantage","inLanguage":"en-US"},"inLanguage":"en-US"},{"@type":"Question","@id":"https:\/\/www.clarku.edu\/programs\/masters\/data-analytics-msda\/#faq-2","position":2,"url":"https:\/\/www.clarku.edu\/programs\/masters\/data-analytics-msda\/#faq-2","name":"What are the student learning outcomes?","answerCount":"1","acceptedAnswer":{"@type":"Answer","text":"<strong>Learning Outcomes and Competencies \u2013 School of Professional Studies<\/strong>\nThe following sections talk about the specific programmatic outcomes for each credential.&nbsp; For programs at the Masters level, a core of five core operational competencies informs our theoretical framework for all Clark University School of Professional Studies Master\u2019s degrees. Graduate certificates are not held to the same holistic standard as they are considered to be narrower in focus and more applied in practice.&nbsp; For the credentials at the Masters level, those competencies are:\n<strong>Core Competencies for SPS Master\u2019s Degrees<\/strong>Organizational Systems&nbsp;OR&nbsp;Foundational Elements for STEM ProgramsDeveloping an appreciation and understanding of the interdependence of the parts of a system will result in effectively and efficiently assisting an organization by developing its strategy and delivering its intended mission.&nbsp; For STEM credentials, a solid foundation in analytical and diagnostic competencies which will enable the student to succeed from a technological perspective.Ethics and Social Responsibility&nbsp;The SPS curriculum will stress the importance of ethics and corporate social responsibility, so all SPS students are aware of the advantages of ethical behavior in business and professional life, and can act from a moral point of view. The notions of ethics and social responsibility are extended to STEM programming through the lens of the issue of data and programming integrity that can inform systems and analytical architecture that is applied in a fair and equitable manner.Applied ResearchAs a professional, SPS graduates will have the ability to call upon research methodologies to solve practical problems organizations and individuals encounter.&nbsp; Our professional focus demands that informed research is a core value to knowledgeable problem-solving.Workplace Dynamics, Communication, and Career Management&nbsp;OR&nbsp;Core Technologies Necessary to Meet STEM Industry StandardsWorkplace dynamics involve the relationships among the members of an organization, including departmental and interpersonal relationships. The capacity to communicate effectively is an essential skill for the successful professional. Career is an integral component of a professional\u2019s life, and career can be maximized by an awareness of opportunities available consistent with individual talents. &nbsp;For STEM-based programs, core technological applications and industry standards will be presented to form a foundation of programming and problem-solving competencies for a successful workplace experience.Theoretical GroundingEach SPS degree is part of a field of study based upon a collection of theories that have proven to be effective when applied to challenges. Students will develop an appreciation for how arguments are used to explain, predict, and understand phenomena.\n<strong>MS in Data Analytics<\/strong>Operational CompetencyLearning OutcomesFoundational Elements for STEM Programs \u2013 Linear Regression and Time Series AND Mathematical StatisticsSimple and multiple regressions, serial correlation, and heteroscedasticity.Analysis of residuals and stepwise analysis techniques.Time series analysis including smoothing and extrapolation of time series.Linear time series models, model building procedure, and forecasting, as well as case studies.&nbsp;Teach in R as appropriate.Interval estimation.Point estimation including sufficiency, Rao-Blackwell theorem, completeness, uniqueness, Rao-Cramer inequality, and maximum likelihood estimation.Tests of hypothesis: uniformly most powerful tests, uniformly most powerful unbiased tests, likelihood ratio test, chi-squared test, comparison of means and variances. ANOVA, regression, and some nonparametric tests.Ethics and Social Responsibility \u2013 MSIT3860 Data Management for Information TechnologiesPlanningSynthesize and communicate the data needs for BI systems.&nbsp; Design and communicate data projects\u2019 goals and plans for integrity and organizational goals and mission.Define and communicate the roles and responsibilities of BI data users and administrators for organizational good.OperationDesign and communicate data management system administration, and security procedures and policies in compliance with laws and organizational ethics.Design and communicate procedures for data backup and recovery, upgrade, and migration to uphold data integrity and privacy concerns.TechnologyDescribe and compare and contrast database architectures (relational, hierarchical, star, cube, etc.) and data warehousing approaches (Kimball\u2019s vs. Inmon\u2019s).Design and communicate data models for initiatives.Design and communicate procedures for data integration.Describe components of data storage solutions.Core Technologies Necessary to Meet STEM Industry Standards \u2013 MSIT3090 Python Programming AND MSIT3350 Data Mining with SplunkLearn to apply the terminology, methods, and skills associated with the application of Python in Data Analytics.Review and become proficient in basic Python functionality such as control structures and methods, classes, arrays, and strings.Be able to apply more advanced techniques like inheritance and polymorphism, creating user interfaces, and exceptions and streams.Be able to write Python scripts to perform a number of data acquisition, translation, and analysis tasks. Gain experience importing various open-source modules to visualize data sets. Students will be able to discuss the importance of mining machine data in real time.Students will be able to discuss the difference between Business Intelligence and Operational Intelligence.Students will be able to discuss and explain the 5 dimensions of Big Data.Students will be able to discuss descriptive, predictive, and prescriptive analytics.Students will be able to install and configure the latest version of Splunk.Students will be able to use Splunk to gather, analyze, and report data.Students will be able to create Splunk dashboards and visualizations that make data meaningful.Students will be able to develop Splunk Apps.Applied Research \u2013 MSIT3999 CapstoneKnowledge: Demonstrate competency in the area of data analytics through the application of the essential elements acquired from core and elective courses. Capability to construct and implement solutions to solve real world issues.Skills: Demonstrate critical thinking; specifically employ appropriate analytical models and apply critical reasoning processes to evaluate evidence, select among alternatives, and generate creative options in furtherance of effective decision making.Professional Behavior:&nbsp; Demonstrate teamwork and leadership skills, specifically function in a variety of work groups using appropriate leadership skills and styles.Communication: Demonstrate effective communication skills when working with stakeholders and diverse constituents. Evidence of ability to write capstone required documents clearly, concisely, and analytically for various stakeholders.&nbsp; Ability to confidently present in public setting with appropriate use of visual aids.Theoretical Grounding \u2013 Machine LearningDeveloping a basic understanding of the fundamental concepts, terminology, and theory of machine learning.Learning to use some common tools for machine learning.Learning the methodologies of machine learning, including:Data gathering, preparation, and archivingChoosing specific techniques and algorithmsModel training and hyper parameter tuningModel evaluationVisualization","inLanguage":"en-US"},"inLanguage":"en-US"},{"@type":"Question","@id":"https:\/\/www.clarku.edu\/programs\/masters\/data-analytics-msda\/#faq-3","position":3,"url":"https:\/\/www.clarku.edu\/programs\/masters\/data-analytics-msda\/#faq-3","name":"Will I get prior learning credit?","answerCount":"1","acceptedAnswer":{"@type":"Answer","text":"Incoming students with a strong math or programming background (i.e., candidates holding a B.S. in Computer Science) may waive up to 2 required courses and replace them with two other course options.\nWe also recognize the valuable experience and perspectives that working professionals bring to the class. If you are a student with three or more years in a professional position or hold an industry-standard certification, you can apply for the Assessment of Prior Learning (APL) credit.\nYou may be awarded APL credit for up to two (2) graduate courses, enabling you to complete your degree more quickly and cost effectively. 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