{"@id":"https://credentialengineregistry.org/resources/ce-552d20cd-985e-4f24-9683-ee5c4f99a637","@type":"ceterms:MasterDegree","@context":"https://credreg.net/ctdl/schema/context/json","ceterms:ctid":"ce-552d20cd-985e-4f24-9683-ee5c4f99a637","ceterms:name":{"en-US":"M.S. in Data Science"},"ceterms:ownedBy":["https://credentialengineregistry.org/resources/ce-2ecc2ce8-b134-4a3a-8b17-863aa118f36e"],"ceterms:requires":[{"@type":"ceterms:ConditionProfile","ceterms:name":{"en-US":"Credit Hours"},"ceterms:assertedBy":["https://credentialengineregistry.org/resources/ce-2ecc2ce8-b134-4a3a-8b17-863aa118f36e"],"ceterms:creditValue":[{"@type":"ceterms:ValueProfile","schema:value":32.0,"schema:description":{"en-US":"Semester Hours"},"ceterms:creditUnitType":[{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://credreg.net/ctdl/terms/CreditUnit","ceterms:targetNode":"creditUnit:SemesterHour","ceterms:frameworkName":{"en-US":"Credit Unit"},"ceterms:targetNodeName":{"en-US":"Semester Hour"},"ceterms:targetNodeDescription":{"en-US":"Credit that is issued or accepted at a semester level."}}]}],"ceterms:description":{"en-US":"Number of credit hours needed 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":"60866"}],"ceterms:inLanguage":["en"],"ceterms:description":{"en-US":"Data science is not just a popular career path, it's one that's here to stay. Employers are searching for those with the skills and knowledge to transform data to push their organizations forward. Ball State's online-only master's in data science will help you gain these big data skills.\n\nBurning Glass Technologies, an analytics software company that delivers real-time job market data, predicts that growth projections in data science employment are expected to increase rapidly - nearly 20 percent, nationwide - within the next 10 years. How will you prepare for these lucrative positions and high demand in the field?"},"ceterms:dateEffective":"2020-03-12","ceterms:subjectWebpage":"https://www.bsu.edu/academics/collegesanddepartments/online/academic-programs/masters/ms-data-science","ceterms:audienceLevelType":[{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://credreg.net/ctdl/terms/AudienceLevel","ceterms:targetNode":"audLevel:GraduateLevel","ceterms:frameworkName":{"en-US":"Audience Level"},"ceterms:targetNodeName":{"en-US":"Graduate Level"},"ceterms:targetNodeDescription":{"en-US":"Intended for those who enrolled in a degree program or other formal program above the baccalaureate level, such as a masters or doctoral degree program."}}],"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."}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://credreg.net/ctdl/terms/Delivery","ceterms:targetNode":"deliveryType:OnlineOnly","ceterms:frameworkName":{"en-US":"Delivery Type"},"ceterms:targetNodeName":{"en-US":"Online Only"},"ceterms:targetNodeDescription":{"en-US":"Delivery is only via the Internet."}}],"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=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."}}]}