{"id":6411,"date":"2020-03-19T13:16:16","date_gmt":"2020-03-19T17:16:16","guid":{"rendered":"https:\/\/www.ramapo.edu\/catalog-2024-2025\/?page_id=6411"},"modified":"2024-09-05T11:35:06","modified_gmt":"2024-09-05T15:35:06","slug":"master-of-data-science-msds","status":"publish","type":"page","link":"https:\/\/www.ramapo.edu\/catalog-2024-2025\/master-of-data-science-msds\/","title":{"rendered":"Master Science in Data Science (MSDS)"},"content":{"rendered":"<h4>Website: <a href=\"https:\/\/www.ramapo.edu\/dmc\/programs\/msds\/\">Master of Science in Data Science<\/a><\/h4>\n<div class=\"facultyTable\"><div class=\"row colSet\"><br \/>\n<div class=\"sColumn col-sm-12 col-md-12 \"><\/p>\n<h4 class=\"convenerListing\">Director:<\/h4>\n<ul>\n<li><a href=\"https:\/\/www.ramapo.edu\/tas\/faculty\/scott-frees\/\">Scott Frees<\/a><\/li>\n<\/ul>\n<p><span style=\"font-family: proxima-nova, sans-serif\"><\/div><\/span><\/p>\n<div class=\"sColumn col-sm-12 col-md-12 \">\n<h4 class=\"facultyListing\">Faculty:<\/h4>\n<ul>\n<li><a href=\"https:\/\/www.ramapo.edu\/tas\/faculty\/ali-al-juboori\/\">Ali Al-Juboori<\/a><\/li>\n<li><a href=\"https:\/\/www.ramapo.edu\/tas\/faculty\/amanda-beecher\/\">Amanda Beecher<\/a><\/li>\n<li><a href=\"https:\/\/www.ramapo.edu\/tas\/faculty\/sourav-dutta\/\">Sourav Dutta<\/a><\/li>\n<li><a href=\"https:\/\/www.ramapo.edu\/tas\/faculty\/scott-frees\/\">Scott Frees<\/a><\/li>\n<\/ul>\n<\/div>\n\n<div class=\"sColumn col-sm-12 col-md-12 \">\n<h4 class=\"facultyListingColTwo\">Faculty:<\/h4>\n<ul>\n<li><a href=\"https:\/\/www.ramapo.edu\/tas\/faculty\/matthew-jobrack\/\">Matthew Jobrack<\/a><\/li>\n<li><a href=\"https:\/\/www.ramapo.edu\/tas\/faculty\/amruth-kumar\/\">Amruth Kumar<\/a><\/li>\n<li><a href=\"https:\/\/www.ramapo.edu\/tas\/faculty\/osei-tweneboah\/\">Osei Kofi Tweneboah<\/a><\/li>\n<li><a href=\"https:\/\/www.ramapo.edu\/tas\/faculty\/debbie-yuster\/\">Debbie Yuster<\/a><\/li>\n<\/ul>\n<p>Current as of June 2024<\/p>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"collapsableContent\" tabindex=\"0\"><div class=\"collapsableTitle\"><span class=\"fa-stack\"><i class=\"fa fa-circle fa-stack-2x\"><\/i><i class=\"fa fa-chevron-down fa-stack-1x fa-inverse\"><\/i><i class=\"fa fa-chevron-up fa-stack-1x fa-inverse\"><\/i><\/span> Resources<\/div><div class=\"c_content\">\n<p><span style=\"color: #2f2f2f;font-size: 15px;font-weight: bold\">Resources:<\/span><\/p>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li><a href=\"https:\/\/apply.ramapo.edu\/register\/?id=264501f6-a2da-4afd-a8e8-08835dca21da\">Request Information<\/a><\/li>\n<li><a title=\"Graduate Programs Policies and Procedures\" href=\"https:\/\/www.ramapo.edu\/catalog-2024-2025\/masters\/\">Masters Programs Policies and Procedures<\/a><\/li>\n<li><a href=\"https:\/\/www.ramapo.edu\/dmc\/programs\/msds\/#:~:text=Our%20Master%20of%20Science%20(MS,Learning%2C%20Statistics%20and%20Mathematical%20Modeling.\">MS in Data Science Program<\/a><\/li>\n<li><a href=\"https:\/\/www.ramapo.edu\/dmc\/\">Center for Data, Mathematical, and Computational\u00a0 Sciences (DMC)<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/div><\/div>\n<div class=\"collapsableContent\" tabindex=\"0\"><div class=\"collapsableTitle\"><span class=\"fa-stack\"><i class=\"fa fa-circle fa-stack-2x\"><\/i><i class=\"fa fa-chevron-down fa-stack-1x fa-inverse\"><\/i><i class=\"fa fa-chevron-up fa-stack-1x fa-inverse\"><\/i><\/span> About the Program<\/div><div class=\"c_content\">\n<p>Data Science is integral to the needs and operations of almost every business sector and enables companies to leverage data to predict trends, inform decisions and make breakthroughs. Data Scientists are employed by hospitals, pharmaceutical manufacturers, financial and trading firms, sports teams, marketing agencies, and, of course, tech companies. In fact, Glassdoor ranked Data Scientist as the #1 job in America in 2019, with a median base salary of $108K\/year, as well as the #1 Best Paying Job Out of College in 2019.<\/p>\n<p>Recognizing the market need and high employment opportunities for professionals with data science skills, 秘密研究所 has created the Master of Science in Data Science degree program. The program will prepare Data Science graduates, to enter the job market with sought-after skills in programming, statistics, machine learning, and data visualization, providing opportunities to pursue high-paying, high-quality jobs at some of the most influential and prestigious companies in the country.<\/p>\n<p>The Master of Science (MS) degree is a 30-credit program with a signature Fieldwork Experience component. Full-time students will complete their degree in two years; however, students may work towards the degree part-time as well. Courses are delivered as a combination of online, hybrid, and evening in-seat format.<\/p>\n<\/div><\/div>\n<div class=\"collapsableContent\" tabindex=\"0\"><div class=\"collapsableTitle\"><span class=\"fa-stack\"><i class=\"fa fa-circle fa-stack-2x\"><\/i><i class=\"fa fa-chevron-down fa-stack-1x fa-inverse\"><\/i><i class=\"fa fa-chevron-up fa-stack-1x fa-inverse\"><\/i><\/span>Outcomes for the Data Science Program<\/div><div class=\"c_content\">\n<p dir=\"ltr\" style=\"padding-left: 40px\"><strong>Goal 1:<\/strong>\u00a0 Data Acquisition and Management:\u00a0 Students must understand the technical and ethical aspects of collecting data and storing data.<\/p>\n<p dir=\"ltr\" style=\"padding-left: 40px\"><strong>Goal 2:<\/strong>\u00a0 Data Analysis:\u00a0 Students must have the mathematics and computing skills to effectively analyze collected data.<\/p>\n<p dir=\"ltr\" style=\"padding-left: 40px\"><strong>Goal 3:<\/strong>\u00a0 Data Presentation:\u00a0 Students must be able to communicate their analysis and create effective visualizations of complex data sets to support their analysis.<\/p>\n<p dir=\"ltr\" style=\"padding-left: 40px\"><strong>Goal 4:<\/strong>\u00a0 Data-Driven Decision Making:\u00a0 Students must be able to use their analysis to drive domain-specific decisions.<\/p>\n<p dir=\"ltr\" style=\"padding-left: 40px\"><strong>Goal 5:\u00a0<\/strong> Effectively integrate all facets of Data Science to meet domain-specific project objectives:\u00a0 Students will be able to integrate the skills described above in fieldwork\/thesis projects.<\/p>\n<p><strong><span style=\"font-family: proxima-nova, sans-serif\">Learning Outcomes<\/span><\/strong><\/p>\n<ul>\n<li style=\"list-style-type: none\">\n<ul>\n<li><strong>Outcome 1<\/strong> Demonstrate advanced skills in data acquisition and management.<\/li>\n<li><strong>Outcome 2<\/strong> Demonstrate advanced skills in data analysis techniques using mathematics and statistical principles.<\/li>\n<li><strong>Outcome 3<\/strong> Demonstrate advanced skills in data presentation, communication, and visualization.<\/li>\n<li><strong>Outcome 4<\/strong> Demonstrate the ability to integrate skills in a multi-faceted data science project.<\/li>\n<li><strong>Outcome 5<\/strong> Demonstrate the ability to make data-driven decisions.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<\/div><\/div>\n<div class=\"collapsableContent\" tabindex=\"0\"><div class=\"collapsableTitle\"><span class=\"fa-stack\"><i class=\"fa fa-circle fa-stack-2x\"><\/i><i class=\"fa fa-chevron-down fa-stack-1x fa-inverse\"><\/i><i class=\"fa fa-chevron-up fa-stack-1x fa-inverse\"><\/i><\/span>Requirements for MSDS<\/div><div class=\"c_content\">\n<ol>\n<li>The degree program consists of 30 credits from the following courses.<\/li>\n<li>To remain in good academic standing, students must maintain a cumulative GPA of 3.0 higher.<\/li>\n<\/ol>\n<h5 align=\"center\"><strong>Data Science Program<\/strong><\/h5>\n<div class=\"courseTable\">\n<ul>\n<li class=\"majorTableHeading\">Subject &amp; Course # &#8211; Title &amp; Course Description<\/li>\n<li><strong>REQUIRED CORE COURSES<\/strong><\/li>\n<li><a id=\"69e34d65e00da\" href=\"https:\/\/catalog.ramapo.edu\/courses\/CMPS530\" target=\"_blank\">CMPS 530 - PYTHON FOR DATA SCIENCE<\/a><\/li>\n<li><a id=\"69e34d65e03c3\" href=\"https:\/\/catalog.ramapo.edu\/courses\/CMPS664\" target=\"_blank\">CMPS 664 - ADVANCED DATABASE AND BIG DATA SYSTEMS<\/a><\/li>\n<li><a id=\"69e34d65e063b\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA601\" target=\"_blank\">DATA 601 - INTRODUCTION TO DATA SCIENCE<\/a><\/li>\n<li><a id=\"69e34d65e08c0\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA620\" target=\"_blank\">DATA 620 - ETHICS IN DATA & COMPUTING<\/a><\/li>\n<li><a id=\"69e34d65e0b9a\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH570\" target=\"_blank\">MATH 570 - APPLIED STATISTICS<\/a><\/li>\n<li><a id=\"69e34d65e0dee\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH680\" target=\"_blank\">MATH 680 - ADVANCED MATHEMATICAL MODELING<\/a><\/li>\n<li><strong>ELECTIVES (9 CREDITS TOTAL)<\/strong><\/li>\n<li><b>TECHNICAL ELECTIVES &#8211; SELECT TWO<\/b><\/li>\n<li><a id=\"69e34d65e1039\" href=\"https:\/\/catalog.ramapo.edu\/courses\/CMPS531\" target=\"_blank\">CMPS 531 - DATA STRUCTURES & ALGORITHMS<\/a><\/li>\n<li><a id=\"69e34d65e1286\" href=\"https:\/\/catalog.ramapo.edu\/courses\/CMPS547\" target=\"_blank\">CMPS 547 - FOUNDATIONS OF COMPUTER SCIENCE<\/a><\/li>\n<li><a id=\"69e34d65e14d9\" href=\"https:\/\/catalog.ramapo.edu\/courses\/CMPS645\" target=\"_blank\">CMPS 645 - ANALYSIS OF ALGOITHMS<\/a><\/li>\n<li><a id=\"69e34d65e16eb\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA670\" target=\"_blank\">DATA 670 - DATA VISUALIZATION<\/a><\/li>\n<li><a id=\"69e34d65e192d\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA687\" target=\"_blank\">DATA 687 - TIME SERIES DATA<\/a><\/li>\n<li><a id=\"69e34d65e1b90\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA730\" target=\"_blank\">DATA 730 - DATA SCIENCE FIELDWORK I<\/a><\/li>\n<li><a id=\"69e34d65e1db3\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA590\" target=\"_blank\">DATA 590 - TOPICS:<\/a>\u00a0<strong>OR (<\/strong><strong>Topic Course must be approved by Program Director)<\/strong><\/li>\n<li><a id=\"69e34d65e1fc3\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA690\" target=\"_blank\">DATA 690 - TOPICS<\/a> <strong>(<\/strong><strong>Topic Course must be approved by Program Director)<\/strong><\/li>\n<li><a id=\"69e34d65e2209\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH562\" target=\"_blank\">MATH 562 - APPLIED LINEAR ALGEBRA<\/a><\/li>\n<li><a id=\"69e34d65e2456\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH645\" target=\"_blank\">MATH 645 - NUMERICAL ANALYSIS<\/a><\/li>\n<li><a id=\"69e34d65e26d5\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH654\" target=\"_blank\">MATH 654 - APPLIED PROBABILITY<\/a><\/li>\n<li><a id=\"69e34d65e28c3\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH685\" target=\"_blank\">MATH 685 - INTRODUCTION TO EXPERIMENTAL DESIGN<\/a><\/li>\n<li><strong>INTERDISCIPLINARY ELECTIVES &#8211; SELECT ONE<\/strong><\/li>\n<li><a id=\"69e34d65e2acf\" href=\"https:\/\/catalog.ramapo.edu\/courses\/BADM501\" target=\"_blank\">BADM 501 - DATA ANALYTICS<\/a><\/li>\n<li><a id=\"69e34d65e2c97\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA730\" target=\"_blank\">DATA 730 - DATA SCIENCE FIELDWORK I<\/a><\/li>\n<li><a id=\"69e34d65e2e79\" href=\"https:\/\/catalog.ramapo.edu\/courses\/EDLD602\" target=\"_blank\">EDLD 602 - BEST PRACTICES IN CURRICULUM PLANNING, DESIGN & DEVELOPMENT<\/a><\/li>\n<li><a id=\"69e34d65e305d\" href=\"https:\/\/catalog.ramapo.edu\/courses\/EDLD604\" target=\"_blank\">EDLD 604 - APPLIED RSCH IN PRACTICE:USING DATA FOR CURR-BASED DECISION MAKING, PLANNING & RENEWAL<\/a><\/li>\n<li><a id=\"69e34d65e323e\" href=\"https:\/\/catalog.ramapo.edu\/courses\/EDTC633\" target=\"_blank\">EDTC 633 - DESIGN THINKING AND DATA ANALYSIS<\/a><\/li>\n<li><a id=\"69e34d65e3424\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH540\" target=\"_blank\">MATH 540 - CRYPTOGRAPHY<\/a><\/li>\n<li><a id=\"69e34d65e35f4\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MBAD610\" target=\"_blank\">MBAD 610 - BECOMING A 21ST CENTURY LEADER<\/a><\/li>\n<li><a id=\"69e34d65e37d9\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MBAD612\" target=\"_blank\">MBAD 612 - LEADING CHANGE IN AN  UNCERTAIN WORLD<\/a><\/li>\n<li><a id=\"69e34d65e3a03\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MBAD615\" target=\"_blank\">MBAD 615 - BUSINESS ANALYTICS<\/a><\/li>\n<li><a id=\"69e34d65e3c28\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MSWK645\" target=\"_blank\">MSWK 645 - ADVANCED SEMINAR OF TOPICS ADDRESSING SUBSTANCE USE DISORDERS<\/a><\/li>\n<li><span style=\"font-weight: 400\">NOTE:\u00a0 Students must complete <\/span><b>two<\/b><span style=\"font-weight: 400\"> technical electives and <\/span><b>one<\/b><span style=\"font-weight: 400\"> interdisciplinary elective. DATA 730 Fieldwork Experience may be used to replace <\/span><b>one<\/b><span style=\"font-weight: 400\"> of the three total electives. A full list of electives is available at:\u00a0 <\/span><a href=\"https:\/\/www.ramapo.edu\/dmc\/programs\/msds\/\"><span style=\"font-weight: 400\">https:\/\/www.ramapo.edu\/dmc\/programs\/msds\/<\/span><\/a><\/li>\n<li><strong>OPTIONAL ELECTIVE:<\/strong><\/li>\n<li><a id=\"69e34d65e3e5d\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA730\" target=\"_blank\">DATA 730 - DATA SCIENCE FIELDWORK I<\/a><\/li>\n<li><strong>CAPSTONE COURSE<\/strong><\/li>\n<li><a id=\"69e34d65e404b\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA745\" target=\"_blank\">DATA 745 - DATA SCIENCE THESIS PROPOSAL<\/a><\/li>\n<li><a id=\"69e34d65e425c\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA731\" target=\"_blank\">DATA 731 - DATA SCIENCE FIELDWORK II<\/a>\u00a0<strong>OR<\/strong><\/li>\n<li><a id=\"69e34d65e44b0\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA750\" target=\"_blank\">DATA 750 - DATA SCIENCE THESIS<\/a><\/li>\n<\/ul>\n<\/div><\/div>\n<\/div>\n<div id=\"DataAna\" class=\"collapsableContent\" tabindex=\"0\"><div class=\"collapsableTitle\"><span class=\"fa-stack\"><i class=\"fa fa-circle fa-stack-2x\"><\/i><i class=\"fa fa-chevron-down fa-stack-1x fa-inverse\"><\/i><i class=\"fa fa-chevron-up fa-stack-1x fa-inverse\"><\/i><\/span>Data Analyst Certificate Program<\/div><div class=\"c_content\">\n<p>About the Program<\/p>\n<p>The Data Analyst Certificate is geared towards students most interested in learning data\/business analytics skills &#8211; the interpretation and presentation of data.<\/p>\n<p>Each graduate certificate includes two required courses and one elective.\u00a0 Students can double-count\u00a0<strong>one<\/strong> course toward no more than\u00a0<strong>two\u00a0<\/strong>certificates.<\/p>\n<div class=\"courseTable\">\n<ul>\n<li class=\"majorTableHeading\"><strong>REQUIREMENTS OF THE DATA ANALYST CERTIFICATE<\/strong><\/li>\n<li><strong>REQUIRED COURSES<\/strong><\/li>\n<li><a id=\"69e34d65e47f3\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA601\" target=\"_blank\">DATA 601 - INTRODUCTION TO DATA SCIENCE<\/a><\/li>\n<li><a id=\"69e34d65e4a0c\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA670\" target=\"_blank\">DATA 670 - DATA VISUALIZATION<\/a><\/li>\n<li><strong>ELECTIVE SELECT ONE<\/strong><\/li>\n<li><a id=\"69e34d65e4c0d\" href=\"https:\/\/catalog.ramapo.edu\/courses\/BADM501\" target=\"_blank\">BADM 501 - DATA ANALYTICS<\/a>\u00a0<strong>OR<\/strong><\/li>\n<li><a id=\"69e34d65e4e23\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MBAD615\" target=\"_blank\">MBAD 615 - BUSINESS ANALYTICS<\/a><\/li>\n<\/ul>\n<\/div>\n<\/div><\/div>\n\n<div id=\"DataMod\" class=\"collapsableContent\" tabindex=\"0\"><div class=\"collapsableTitle\"><span class=\"fa-stack\"><i class=\"fa fa-circle fa-stack-2x\"><\/i><i class=\"fa fa-chevron-down fa-stack-1x fa-inverse\"><\/i><i class=\"fa fa-chevron-up fa-stack-1x fa-inverse\"><\/i><\/span>Data Modeler Certificate Program<\/div><div class=\"c_content\">\n<p>About the Program<\/p>\n<p>The Data Modeler Certificate provides skills in statistics and underlying methods of synthesizing raw data into actionable information.<\/p>\n<p>Each graduate certificate includes two required courses and one elective.\u00a0 Students can double-count\u00a0<strong>one<\/strong> course toward no more than\u00a0<strong>two\u00a0<\/strong>certificates.<\/p>\n<div class=\"courseTable\">\n<ul>\n<li class=\"majorTableHeading\"><strong>REQUIREMENTS OF THE DATA MODELER CERTIFICATE<\/strong><\/li>\n<li><strong>REQUIRED COURSES<\/strong><\/li>\n<li><a id=\"69e34d65e5122\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH570\" target=\"_blank\">MATH 570 - APPLIED STATISTICS<\/a><\/li>\n<li><a id=\"69e34d65e536b\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH680\" target=\"_blank\">MATH 680 - ADVANCED MATHEMATICAL MODELING<\/a><\/li>\n<li><strong>ELECTIVE SELECT ONE<\/strong><\/li>\n<li><a id=\"69e34d65e5558\" href=\"https:\/\/catalog.ramapo.edu\/courses\/CMPS620\" target=\"_blank\">CMPS 620 - MACHINE LEARNING<\/a> <strong>OR<\/strong><\/li>\n<li><a id=\"69e34d65e5810\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA670\" target=\"_blank\">DATA 670 - DATA VISUALIZATION<\/a>\u00a0<strong>OR<\/strong><\/li>\n<li><a id=\"69e34d65e5a92\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA687\" target=\"_blank\">DATA 687 - TIME SERIES DATA<\/a>\u00a0<strong>OR<\/strong><\/li>\n<li><a id=\"69e34d65e5cd4\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH562\" target=\"_blank\">MATH 562 - APPLIED LINEAR ALGEBRA<\/a><\/li>\n<\/ul>\n<\/div>\n<\/div><\/div>\n<div id=\"MACLE\" class=\"collapsableContent\" tabindex=\"0\"><div class=\"collapsableTitle\"><span class=\"fa-stack\"><i class=\"fa fa-circle fa-stack-2x\"><\/i><i class=\"fa fa-chevron-down fa-stack-1x fa-inverse\"><\/i><i class=\"fa fa-chevron-up fa-stack-1x fa-inverse\"><\/i><\/span>Machine Learning Engineer Certificate Program<\/div><div class=\"c_content\">\n<p>About the Program<\/p>\n<p>The Machine Learning Engineer Certificate Program is for students seeking to develop the software, programming skills, and mathematical underpinnings to work with machine learning and big data.<\/p>\n<p>Each graduate certificate includes two required courses and one elective.\u00a0 Students can double-count\u00a0<strong>one<\/strong> course toward no more than\u00a0<strong>two\u00a0<\/strong>certificates.<\/p>\n<div class=\"courseTable\">\n<ul>\n<li class=\"majorTableHeading\"><strong>REQUIREMENTS OF THE MACHINE LEARNING ENGINEER CERTIFICATE<\/strong><\/li>\n<li><strong>REQUIRED COURSES<\/strong><\/li>\n<li><a id=\"69e34d65e5f52\" href=\"https:\/\/catalog.ramapo.edu\/courses\/CMPS530\" target=\"_blank\">CMPS 530 - PYTHON FOR DATA SCIENCE<\/a><\/li>\n<li><a id=\"69e34d65e6164\" href=\"https:\/\/catalog.ramapo.edu\/courses\/CMPS620\" target=\"_blank\">CMPS 620 - MACHINE LEARNING<\/a><\/li>\n<li><strong>ELECTIVE SELECT ONE<\/strong><\/li>\n<li><a id=\"69e34d65e63d4\" href=\"https:\/\/catalog.ramapo.edu\/courses\/CMPS664\" target=\"_blank\">CMPS 664 - ADVANCED DATABASE AND BIG DATA SYSTEMS<\/a> <strong>OR<\/strong><\/li>\n<li><a id=\"69e34d65e65f3\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA670\" target=\"_blank\">DATA 670 - DATA VISUALIZATION<\/a>\u00a0<strong>OR<\/strong><\/li>\n<li><a id=\"69e34d65e689e\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA687\" target=\"_blank\">DATA 687 - TIME SERIES DATA<\/a>\u00a0<strong>OR<\/strong><\/li>\n<li><a id=\"69e34d65e6aff\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH562\" target=\"_blank\">MATH 562 - APPLIED LINEAR ALGEBRA<\/a><\/li>\n<\/ul>\n<\/div>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Website: Master of Science in Data Science<\/p>\n","protected":false},"author":144,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-6411","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v27.1.1) - 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