{"@id":"https://credentialengineregistry.org/resources/ce-1026a654-8085-4c40-a798-51f2d8f7cee1","@type":"ceterms:BachelorDegree","@context":"https://credreg.net/ctdl/schema/context/json","ceterms:ctid":"ce-1026a654-8085-4c40-a798-51f2d8f7cee1","ceterms:name":{"en-US":"B.S. in Statistics"},"ceterms:ownedBy":["https://credentialengineregistry.org/resources/ce-5b250f35-7527-4115-9e5c-c49dd1dbed4e"],"ceterms:requires":[{"@type":"ceterms:ConditionProfile","ceterms:name":{"en-US":"Credit Hours"},"ceterms:assertedBy":["https://credentialengineregistry.org/resources/ce-5b250f35-7527-4115-9e5c-c49dd1dbed4e"],"ceterms:creditValue":[{"@type":"schema:ValueProfile","schema:value":120.0,"schema:description":{"en-US":"Semester Hours"}}],"ceterms:description":{"en-US":"Credit hour requirements to earn this degree."}}],"ceterms:offeredBy":["https://credentialengineregistry.org/resources/ce-5b250f35-7527-4115-9e5c-c49dd1dbed4e"],"ceterms:approvedBy":["https://credentialengineregistry.org/resources/ce-b412e8bc-f1e3-44b3-8785-1195e34caf80"],"ceterms:inLanguage":["en"],"ceterms:commonCosts":["https://credentialengineregistry.org/resources/ce-48ec36e2-1cee-4a39-b391-a15a4dd03316"],"ceterms:degreeMajor":[{"@type":"ceterms:CredentialAlignmentObject","ceterms:targetNodeName":{"en-US":"Statistics - Math Emphasis"}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:targetNodeName":{"en-US":"Statistics Honors"}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:targetNodeName":{"en-US":"Data Science (Statistics)"}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:targetNodeName":{"en-US":"Applied Statistics"}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:targetNodeName":{"en-US":"Mathematics/Statistics"}}],"ceterms:description":{"en-US":"Statistics at Purdue University is one of the largest (students and faculty) in the United States. It is consistently rated by U.S. News and World Report as one of the top departments in the country. It offers courses in fundamental statistics and probability, and also courses that focus on statistical computation to train students as future data scientists. Students enjoy a great deal of interaction with faculty as well as small classes. The department offers a master's program in which a student can earn both a bachelor's degree and a master's degree in five years."},"ceterms:subjectWebpage":"https://catalog.purdue.edu/preview_program.php?catoid=14\u0026poid=18745\u0026returnto=16929","ceterms:audienceLevelType":[{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://credreg.net/ctdl/terms/AudienceLevel","ceterms:targetNode":"audLevel:UndergraduateLevel","ceterms:frameworkName":{"en-US":"Audience Level"},"ceterms:targetNodeName":{"en-US":"Undergraduate Level"},"ceterms:targetNodeDescription":{"en-US":"Intended for those who are enrolled in a degree program or other formal program at or below the baccalaureate, such as an associate’s degree, vocational, or technical 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."}}],"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=27.0502","ceterms:codedNotation":"27.0502","ceterms:frameworkName":{"en-US":"Classification of Instructional Programs"},"ceterms:targetNodeName":{"en-US":"Mathematical Statistics and Probability"},"ceterms:targetNodeDescription":{"en-US":"A program that focuses on the mathematical theory underlying statistical methods and their use.  Includes instruction in probability theory parametric and non-parametric inference, sequential analysis, multivariate analysis, Bayesian analysis, experimental design, time series analysis, resampling, robust statistics, limit theory, infinite particle systems, stochastic processes, martingales, Markov processes, and Banach spaces."}}]}