{"id":6407,"date":"2020-03-19T13:12:05","date_gmt":"2020-03-19T17:12:05","guid":{"rendered":"https:\/\/www.ramapo.edu\/catalog-2023-2024\/?page_id=6407"},"modified":"2023-11-03T15:47:52","modified_gmt":"2023-11-03T19:47:52","slug":"data-science","status":"publish","type":"page","link":"https:\/\/www.ramapo.edu\/catalog-2023-2024\/data-science\/","title":{"rendered":"Data Science"},"content":{"rendered":"
Current as of June 2023<\/p>\n<\/div>\n\n<\/div>\n<\/div>\n
Data Science is new emerging field with a high demand in the employment market. There are many unfilled positions on job boards, particularly in the New Jersey and New York areas.\u00a0 The Bureau of Labor and Statistics it as among the fastest growing in the next 10 years with over a 25% rate.\u00a0 Thus, these jobs are going unfilled currently and there will be need for more in the future.\u00a0 So, a degree in Data Science prepares you for these positions.<\/span><\/p>\n 秘密研究所 offers a three-featured program with a core set of classes, a disciplinary minor (or double major), and a capstone research project.\u00a0 The core classes are designed for students to learn the technical skills necessary for data analysis, including statistics, computer programming, ethics, data visualization, communications, and data analysis.\u00a0 The project-based curriculum exemplifies how and why the disciplinary knowledge is so critical in converting data into information.\u00a0 Each student selects a required minor or double major to learn much deeper and more broadly the background information necessary to be an effective data scientist. The culminating experience of this program is a capstone project in which the students produces a solution to a data related problem from their minor (or double major) field of study.\u00a0This structure best prepares students for either graduate school or employment.\u00a0<\/span><\/p>\n<\/div><\/div>\n Learning Goals\/Outcomes for the program<\/strong><\/p>\n Goal 1:<\/strong> Develop problem solvers<\/span><\/p>\n Outcome 1<\/strong>:<\/strong> Students will demonstrate the ability to solve data-related problems.<\/span><\/p>\n Goal 2:<\/strong> Develop effective communicators<\/span><\/p>\n Outcome 2<\/strong>:<\/strong> Students will communicate data findings effectively to any audience, orally, visually and in written formats.\u00a0<\/span><\/p>\n Goal 3:<\/strong> Develop ethical and technically proficient professionals<\/span><\/p>\n Outcome 3<\/strong>:<\/strong> Students will demonstrate an understanding of ethical aspects of data management and reporting.<\/span><\/p>\n Outcome 4<\/strong>:<\/strong> Students will perform basic technical skills to prepare data for analysis.<\/span><\/p>\n Outcome 5<\/strong>:<\/strong> Students will appropriately formulate and use data analyses through computing, programming, statistical, and mathematical tools.<\/span><\/p>\n Goal 4:<\/strong> Develop effective interdisciplinary team members<\/span><\/p>\n Outcome 6<\/strong>:<\/strong> Students will apply data analytic techniques to applications in another discipline<\/span><\/p>\n<\/div><\/div>\n\n For more information, please contact Professor Amanda Beecher, Convener, Data Science, Room G-128H, (201) 684-7159 or abeecher@ramapo.edu<\/a><\/p>\n<\/div><\/div>\n\n
DATA SCIENCE MAJOR<\/strong><\/h5>\n
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DATA SCIENCE MINOR<\/strong><\/h5>\n
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