{"id":8585,"date":"2022-01-11T12:09:19","date_gmt":"2022-01-11T17:09:19","guid":{"rendered":"https:\/\/www.ramapo.edu\/catalog-2022-2023\/?page_id=8585"},"modified":"2023-03-28T08:50:59","modified_gmt":"2023-03-28T12:50:59","slug":"master-of-science-in-applied-mathematics-msam","status":"publish","type":"page","link":"https:\/\/www.ramapo.edu\/catalog-2022-2023\/master-of-science-in-applied-mathematics-msam\/","title":{"rendered":"Master of Science in Applied Mathematics (MSAM)"},"content":{"rendered":"<h4>Website: <a href=\"https:\/\/www.ramapo.edu\/catalog-2022-2023\/master-of-science-in-applied-mathematics-msam\/\">Master of Science in Applied Mathematics (MSAM)<\/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\/snh\/faculty\/amanda-beecher\/\">Amanda Beecher<\/a><\/li>\n<\/ul>\n<p>Current as of June 2022<\/p>\n<p><span style=\"font-family: proxima-nova, sans-serif\"><\/div><\/span><\/p>\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-2022-2023\/masters\/\">Masters Programs Policies and Procedures<\/a><\/li>\n<li><a href=\"https:\/\/www.ramapo.edu\/dmc\/programs\/msam\/\">MS in Applied Math 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>An Applied Mathematics degree can open doors into many different industries including finance, statistics, operations research, data science, and research. The mathematical reasoning, computational skills, and ability to apply them to solve real problems are all skills valued by employers and provide most of the goals on which we built this program. Being part of the Center for Data, Mathematical, and Computational Sciences provides the\u00a0additional intersectionality between the Applied Mathematics and the Data Science and Computer Science programs. This gives enrolled students an interdisciplinary perspective in all courses, including mathematics courses, which will make them highly effective team members in the workplace.<\/p>\n<p>This Applied Mathematics degree is a 30-credit program requiring courses in Applied Linear Algebra, Applied Probability, and Mathematical Modeling, along with Ethics in Data and Computing and a Master\u2019s Thesis. Students will select five electives from two categories. The first category is a mathematics category that includes four courses with the potential to add more. The second category is an applications category that includes courses from the Computer Science and Data Science programs designed to build students\u2019 computational skills and interdisciplinary understanding. Students may also participate in a Fieldwork Experience to satisfy this elective category. The opportunity to work with industry partners is a relatively rare component of a M.S. in Applied Mathematics (MSAM) program. In conjunction with the MS in Data Science and MS in Computer Science, Â鶹´«Ã½ has an exciting and strong core of technology-related graduate programs. The interlocking aspects of the three curriculums will provide the opportunities for interdisciplinary collaboration Â鶹´«Ã½ is known for in its undergraduate programs.<\/p>\n<p>The Master of Science (MS) degree is a 30-credit program. 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>Program Goals<\/div><div class=\"c_content\">\n<p><strong>Goal 1:<\/strong> Problem Solving: Engage effectively and creatively in problem solving, including exploring multiple approaches, and assessing potential solutions.<\/p>\n<p><strong>Goal 2:<\/strong> Reason mathematically: Reason in mathematical arguments at an advanced level, including posing problems precisely, articulating assumptions and limitations of the approach, and reasoning logically to conclusions.<\/p>\n<p><strong>Goal 3:<\/strong> Data Analysis: Students must have the mathematics and computing skills to effectively analyze collected data.<\/p>\n<p><strong>Goal 4:<\/strong> Presentation and Communication: Students must be able to communicate their analysis, model, and implementation strategies and create effective visualizations to support their analysis.<\/p>\n<p><strong>Goal 5:<\/strong> Integrated Skills: Students will be able to integrate the skills described above in fieldwork\/thesis projects.<br \/>\n<strong><br \/>\nGoal 6:<\/strong> Ethics in work: Recognize ethical and responsible conduct and learn to apply them in practice.<\/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 Applied Mathematics Program<\/div><div class=\"c_content\">\n<p><strong><span style=\"font-family: proxima-nova, sans-serif\">Learning Outcomes<\/span><\/strong><\/p>\n<p><strong>Outcome 1:<\/strong>\u00a0 Demonstrate advanced problem-solving skills.<\/p>\n<p><strong>Outcome 2:<\/strong>\u00a0 Demonstrate advanced reasoning skills.<\/p>\n<p><strong>Outcome 3:<\/strong>\u00a0 Demonstrate advanced skills in data analysis techniques using mathematics and statistical principles.<\/p>\n<p><strong>Outcome 4:<\/strong>\u00a0 Demonstrate advanced skills in data presentation, communication, and visualization.<br \/>\n<strong><br \/>\nOutcome 5:\u00a0<\/strong> Demonstrate the ability to integrate skills in a multi-faceted project.<br \/>\n<strong><br \/>\nOutcome 6:<\/strong> Demonstrate ethical awareness, the ability to do ethical reflection, and the ability to apply ethical principles in decision-making.<\/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>Requirements for MSAM<\/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>Applied Mathematics 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=\"6a323dfbb241e\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA620\" target=\"_blank\">DATA 620 - ETHICS IN DATA & COMPUTING<\/a><\/li>\n<li><a id=\"6a323dfbb2710\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH562\" target=\"_blank\">MATH 562 - APPLIED LINEAR ALGEBRA<\/a><\/li>\n<li><a id=\"6a323dfbb296d\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH654\" target=\"_blank\">MATH 654 - APPLIED PROBABILITY<\/a><\/li>\n<li><a id=\"6a323dfbb2c04\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH680\" target=\"_blank\">MATH 680 - ADVANCED MATHEMATICAL MODELING<\/a><\/li>\n<li><strong>CATEGORY I ELECTIVES <\/strong><b>&#8211; SELECT TWO<\/b><\/li>\n<li><a id=\"6a323dfbb2e51\" href=\"https:\/\/catalog.ramapo.edu\/courses\/CMPS645\" target=\"_blank\">CMPS 645 - ANALYSIS OF ALGOITHMS<\/a><\/li>\n<li><a id=\"6a323dfbb30b2\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH540\" target=\"_blank\">MATH 540 - CRYPTOGRAPHY<\/a><\/li>\n<li><a id=\"6a323dfbb32ec\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH570\" target=\"_blank\">MATH 570 - APPLIED STATISTICS<\/a><\/li>\n<li><a id=\"6a323dfbb3542\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH645\" target=\"_blank\">MATH 645 - NUMERICAL ANALYSIS<\/a><\/li>\n<li><a id=\"6a323dfbb3765\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH685\" target=\"_blank\">MATH 685 - INTRODUCTION TO EXPERIMENTAL DESIGN<\/a><\/li>\n<li><strong>CATEGORY 2 ELECTIVES &#8211; SELECT THREE<\/strong><\/li>\n<li><a id=\"6a323dfbb39e5\" href=\"https:\/\/catalog.ramapo.edu\/courses\/CMPS530\" target=\"_blank\">CMPS 530 - PYTHON FOR DATA SCIENCE<\/a><\/li>\n<li><a id=\"6a323dfbb3bff\" href=\"https:\/\/catalog.ramapo.edu\/courses\/CMPS531\" target=\"_blank\">CMPS 531 - DATA STRUCTURS & ALGORITHMS<\/a><\/li>\n<li><a id=\"6a323dfbb3e4b\" href=\"https:\/\/catalog.ramapo.edu\/courses\/CMPS620\" target=\"_blank\">CMPS 620 - MACHINE LEARNING<\/a><\/li>\n<li><a id=\"6a323dfbb4049\" href=\"https:\/\/catalog.ramapo.edu\/courses\/CMPS664\" target=\"_blank\">CMPS 664 - ADVANCED DATABASE AND BIG DATA SYSTEMS<\/a><\/li>\n<li><a id=\"6a323dfbb426b\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA601\" target=\"_blank\">DATA 601 - INTRODUCTION TO DATA SCIENCE<\/a><\/li>\n<li><a id=\"6a323dfbb450c\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA670\" target=\"_blank\">DATA 670 - DATA VISUALIZATION<\/a><\/li>\n<li><a id=\"6a323dfbb48a0\" href=\"https:\/\/catalog.ramapo.edu\/courses\/DATA687\" target=\"_blank\">DATA 687 - TIME SERIES DATA<\/a><\/li>\n<li><a id=\"6a323dfbb4c36\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH685\" target=\"_blank\">MATH 685 - INTRODUCTION TO EXPERIMENTAL DESIGN<\/a><\/li>\n<li><a id=\"6a323dfbb4eea\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH730\" target=\"_blank\">MATH 730 - APPLIED MATH FIELDWORK<\/a><\/li>\n<li><strong>THESIS &#8211; SELECT ONE<\/strong><\/li>\n<li><a id=\"6a323dfbb5124\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH731\" target=\"_blank\">MATH 731 - APPLIED MATH FIELDWORK II<\/a> <strong>OR<\/strong><\/li>\n<li><a id=\"6a323dfbb532f\" href=\"https:\/\/catalog.ramapo.edu\/courses\/MATH750\" target=\"_blank\">MATH 750 - APPLIED MATH THESIS<\/a><\/li>\n<\/ul>\n<\/div><\/div>\n<p>&nbsp;<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Website: Master of Science in Applied Mathematics (MSAM) &nbsp;<\/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-8585","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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