{"@id":"https://credentialengineregistry.org/resources/ce-c2c738ea-0072-4ba9-9ba5-4bb86422ae42","@type":"ceterms:BachelorDegree","@context":"https://credreg.net/ctdl/schema/context/json","ceterms:ctid":"ce-c2c738ea-0072-4ba9-9ba5-4bb86422ae42","ceterms:name":{"en-US":"B.S. in Data Science"},"ceterms:ownedBy":["https://credentialengineregistry.org/resources/ce-378637c1-3d69-4d5d-a3cf-1d78eef4d5f3"],"ceterms:inLanguage":["en"],"ceterms:description":{"en-US":"In the Information Age, enormous amounts of data are generated every day in a range of areas, including social media, search engines, insurance companies, healthcare organizations, hospitals, defense, and retail. Data science is now a rapidly growing, high-paying field.\n\nAs a student in the IU Online Bachelor of Science in Data Science, you will collect, organize, and analyze data to make meaningful conclusions. You will write programs to perform data analysis on large, complex datasets. You evaluate the social, legal, and ethical issues that arise from the mass collection of data.\n\nSpecific areas of focus include:\n\nData acquisition and storage\nData exploration and curation\nData modeling and analysis\nData visualization and presentation\nData ethics and governance\nThis 100 percent online, consortial program is taught by faculty from IU Kokomo, IU East, IUPUI, IU Northwest, IU South Bend, and IU Southeast. This allows you to take coursework from several campuses and learn from a wide range of faculty."},"ceterms:subjectWebpage":"https://www.iuk.edu/sciences/online-bachelor-of-science-in-data-science.html","ceterms:credentialStatusType":{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://credreg.net/ctdl/terms/CredentialStatus","ceterms:targetNode":"credentialStat:Active","ceterms:frameworkName":{"en-US":"CredentialStatus"},"ceterms:targetNodeName":{"en-US":"Active"}},"ceterms:learningDeliveryType":[{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://credreg.net/ctdl/terms/Delivery","ceterms:targetNode":"deliveryType:InPerson","ceterms:frameworkName":{"en-US":"Delivery"},"ceterms:targetNodeName":{"en-US":"In-Person Only"}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://credreg.net/ctdl/terms/Delivery","ceterms:targetNode":"deliveryType:OnlineOnly","ceterms:frameworkName":{"en-US":"Delivery"},"ceterms:targetNodeName":{"en-US":"Online Only"}}],"ceterms:instructionalProgramType":[{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://nces.ed.gov/ipeds/cipcode/Default.aspx?y=55","ceterms:targetNode":"https://nces.ed.gov/ipeds/cipcode/cipdetail.aspx?y=56\u0026cip=30.3001","ceterms:codedNotation":"30.3001","ceterms:frameworkName":{"en-US":"Classification of Instructional Programs"},"ceterms:targetNodeName":{"en-US":"Computational Science"},"ceterms:targetNodeDescription":{"en-US":"A program that focuses on the study of scientific computing and its application.  Includes instruction in scientific visualization, multi-scale analysis, grid generation, data analysis, applied mathematics, numerical algorithms, high performance parallel computing, and numerical modeling and simulation with applications in science, engineering and other disciplines in which computation plays an integral role."}}]}