{"@id":"https://credentialengineregistry.org/resources/ce-ca95fd22-d920-4e6c-a84e-dac7e8ad8877","@type":"ceterms:BachelorDegree","@context":"https://credreg.net/ctdl/schema/context/json","ceterms:ctid":"ce-ca95fd22-d920-4e6c-a84e-dac7e8ad8877","ceterms:name":{"en-US":"B.S. in Health Data Science"},"ceterms:image":"https://assets.iu.edu/brand/3.x/trident-large.png","ceterms:ownedBy":["https://credentialengineregistry.org/resources/ce-99a51276-8e40-4f8f-a76e-696ad43e3903"],"ceterms:requires":[{"@type":"ceterms:ConditionProfile","ceterms:name":{"en-US":"Credit Hours"},"ceterms:assertedBy":["https://credentialengineregistry.org/resources/ce-99a51276-8e40-4f8f-a76e-696ad43e3903"],"ceterms:creditValue":[{"@type":"ceterms:ValueProfile","schema:value":120.0,"schema:description":{"en-US":"Semester Hours"}}],"ceterms:description":{"en-US":"Credit hour requirements to earn this degree."},"ceterms:creditUnitTypeDescription":{"en-US":"Semester Hours"}}],"ceterms:approvedBy":["https://credentialengineregistry.org/resources/ce-b412e8bc-f1e3-44b3-8785-1195e34caf80"],"ceterms:identifier":[{"@type":"ceterms:IdentifierValue","ceterms:identifierTypeName":{"en-US":"CHEDSS Program ID"},"ceterms:identifierValueCode":"58745"}],"ceterms:inLanguage":["en"],"ceterms:availableAt":[{"@type":"ceterms:Place","ceterms:name":{"en-US":"Indianapolis"},"ceterms:latitude":39.772215,"ceterms:longitude":-86.17526459999999,"ceterms:postalCode":"46202","ceterms:addressRegion":{"en-US":"Indiana"},"ceterms:streetAddress":{"en-US":"301 University Blvd, University Hall Suite 5002"},"ceterms:addressCountry":{"en-US":"United States"},"ceterms:addressLocality":{"en-US":"Indianapolis"}}],"ceterms:commonCosts":["https://credentialengineregistry.org/resources/ce-c646418f-a5f8-47a4-927b-141ad0b621c5"],"ceterms:description":{"en-US":"Health data science is a burgeoning, interdisciplinary field requiring a diverse set of skills to extract knowledge and insights from data. Health data scientists will be at the center of an estimated $300 billion value added to the American health sector annually by big data and analytics.\n\nThe Bachelor of Science in Health Data Science features an interdisciplinary curriculum that integrates biostatistics, computer science and informatics that will create an attractive package for employers working with health data locally, nationally and internationally. Students will receive either a minor in computer science from the Department of Computer and Information Science, or a minor in Informatics from the IU School of Informatics and Computing at IUPUI."},"ceterms:subjectWebpage":"https://indianapolis.iu.edu/","ceterms:credentialStatusType":{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://credreg.net/ctdl/terms/CredentialStatus","ceterms:targetNode":"credentialStat:Active","ceterms:frameworkName":{"en-US":"Credential Status"},"ceterms:targetNodeName":{"en-US":"Active"},"ceterms:targetNodeDescription":{"en-US":"Awards of the credential are ongoing."}},"ceterms:learningDeliveryType":[{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://credreg.net/ctdl/terms/Delivery","ceterms:targetNode":"deliveryType:InPerson","ceterms:frameworkName":{"en-US":"Delivery Type"},"ceterms:targetNodeName":{"en-US":"In-Person Only"},"ceterms:targetNodeDescription":{"en-US":"Delivery is only face-to-face."}}],"ceterms:instructionalProgramType":[{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://nces.ed.gov/ipeds/cipcode/Default.aspx?y=56","ceterms:targetNode":"https://nces.ed.gov/ipeds/cipcode/cipdetail.aspx?y=56\u0026cip=26.1102","ceterms:codedNotation":"26.1102","ceterms:frameworkName":{"en-US":"Classification of Instructional Programs"},"ceterms:targetNodeName":{"en-US":"Biostatistics"},"ceterms:targetNodeDescription":{"en-US":"A program that focuses on the application of descriptive and inferential statistics to biomedical research and clinical, public health, and industrial issues related to human populations.  Includes instruction in mathematical statistics, modeling, clinical trials methodology, disease and survival analysis, longitudinal analysis, missing data analysis, spatial analysis, computer tomography, biostatistics consulting, and applications to such topics as genetics, oncology, pharmacokinetics, physiology, neurobiology, and biophysics."}}]}