{"@id":"https://credentialengineregistry.org/resources/ce-62288340-f4e6-46cd-97b0-a4b995c38ea2","@type":"ceterms:ResearchDoctorate","@context":"https://credreg.net/ctdl/schema/context/json","ceterms:ctid":"ce-62288340-f4e6-46cd-97b0-a4b995c38ea2","ceterms:name":{"en-US":"Doctor of Philosophy in Data Science and Analytics"},"ceterms:ownedBy":["https://credentialengineregistry.org/resources/ce-442d0b0b-c558-4909-9b99-c72eb31f5760"],"ceterms:subject":[{"@type":"ceterms:CredentialAlignmentObject","ceterms:targetNodeName":{"en-US":"Data Science, General"}}],"ceterms:requires":[{"@type":"ceterms:ConditionProfile","ceterms:name":{"en-US":"Requires"},"ceterms:creditValue":[{"@type":"ceterms:ValueProfile","schema:value":72.0,"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":"Condition for Doctor of Philosophy in Data Science and Analytics"}}],"ceterms:inLanguage":["en"],"ceterms:availableAt":[{"@type":"ceterms:Place","ceterms:name":{"en-US":"Marietta, GA"},"ceterms:latitude":33.9373211,"ceterms:longitude":-84.52092669999999,"ceterms:postalCode":"30060","ceterms:addressRegion":{"en-US":"Georgia"},"ceterms:streetAddress":{"en-US":"1100 South Marietta Pkwy"},"ceterms:addressCountry":{"en-US":"United States"},"ceterms:addressLocality":{"en-US":"Marietta"}}],"ceterms:description":{"en-US":"A program that focuses on the analysis of large scale data sources from the interdisciplinary perspectives of applied statistics, computer science, data storage, data representation, data modeling, mathematics, and statistics. Includes instruction in computer algorithms, computer programming, data management, data mining, information policy, information retrieval, mathematical modeling, quantitative analysis, statistics, trend spotting, and visual analytics."},"ceterms:estimatedCost":[{"@type":"ceterms:CostProfile","ceterms:name":{"en-US":"Cost Profile"},"ceterms:costDetails":"https://fiscalservices.kennesaw.edu/bursar/index.php","ceterms:description":{"en-US":"Click the \"Cost Details\" button to access the Kennesaw State University Bursar's Office webpage to learn about the cost of attendance."}}],"ceterms:occupationType":[{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://www.onetcenter.org/taxonomy.html","ceterms:targetNode":"https://www.onetonline.org/link/summary/11-3021.00","ceterms:codedNotation":"11-3021.00","ceterms:frameworkName":{"en-US":"Standard Occupational Classification"},"ceterms:targetNodeName":{"en-US":"Computer and Information Systems Managers"},"ceterms:targetNodeDescription":{"en-US":"Plan, direct, or coordinate activities in such fields as electronic data processing, information systems, systems analysis, and computer programming."}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://www.onetcenter.org/taxonomy.html","ceterms:targetNode":"https://www.onetonline.org/link/summary/11-9121.00","ceterms:codedNotation":"11-9121.00","ceterms:frameworkName":{"en-US":"Standard Occupational Classification"},"ceterms:targetNodeName":{"en-US":"Natural Sciences Managers"},"ceterms:targetNodeDescription":{"en-US":"Plan, direct, or coordinate activities in such fields as life sciences, physical sciences, mathematics, statistics, and research and development in these fields."}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://www.onetcenter.org/taxonomy.html","ceterms:targetNode":"https://www.onetonline.org/link/summary/11-9121.01","ceterms:codedNotation":"11-9121.01","ceterms:frameworkName":{"en-US":"Standard Occupational Classification"},"ceterms:targetNodeName":{"en-US":"Clinical Research Coordinators"},"ceterms:targetNodeDescription":{"en-US":"Plan, direct, or coordinate clinical research projects. Direct the activities of workers engaged in clinical research projects to ensure compliance with protocols and overall clinical objectives. May evaluate and analyze clinical data."}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://www.onetcenter.org/taxonomy.html","ceterms:targetNode":"https://www.onetonline.org/link/summary/11-9121.02","ceterms:codedNotation":"11-9121.02","ceterms:frameworkName":{"en-US":"Standard Occupational Classification"},"ceterms:targetNodeName":{"en-US":"Water Resource Specialists"},"ceterms:targetNodeDescription":{"en-US":"Design or implement programs and strategies related to water resource issues such as supply, quality, and regulatory compliance issues."}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://www.onetcenter.org/taxonomy.html","ceterms:targetNode":"https://onetonline.org/link/summary/15-1221.00","ceterms:codedNotation":"15-1221.00","ceterms:frameworkName":{"en-US":"Standard Occupational Classification"},"ceterms:targetNodeName":{"en-US":"Computer and Information Research Scientists"},"ceterms:targetNodeDescription":{"en-US":"Conduct research into fundamental computer and information science as theorists, designers, or inventors. Develop solutions to problems in the field of computer hardware and software."}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://www.onetcenter.org/taxonomy.html","ceterms:targetNode":"https://onetonline.org/link/summary/15-1243.00","ceterms:codedNotation":"15-1243.00","ceterms:frameworkName":{"en-US":"Standard Occupational Classification"},"ceterms:targetNodeName":{"en-US":"Database Architects"},"ceterms:targetNodeDescription":{"en-US":"Design strategies for enterprise databases, data warehouse systems, and multidimensional networks. Set standards for database operations, programming, query processes, and security. Model, design, and construct large relational databases or data warehouses. Create and optimize data models for warehouse infrastructure and workflow. Integrate new systems with existing warehouse structure and refine system performance and functionality."}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://www.onetcenter.org/taxonomy.html","ceterms:targetNode":"https://www.onetonline.org/link/summary/15-1243.01","ceterms:codedNotation":"15-1243.01","ceterms:frameworkName":{"en-US":"Standard Occupational Classification"},"ceterms:targetNodeName":{"en-US":"Data Warehousing Specialists"},"ceterms:targetNodeDescription":{"en-US":"Design, model, or implement corporate data warehousing activities. Program and configure warehouses of database information and provide support to warehouse users."}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://www.onetcenter.org/taxonomy.html","ceterms:targetNode":"https://onetonline.org/link/summary/15-1252.00","ceterms:codedNotation":"15-1252.00","ceterms:frameworkName":{"en-US":"Standard Occupational Classification"},"ceterms:targetNodeName":{"en-US":"Software Developers"},"ceterms:targetNodeDescription":{"en-US":"Research, design, and develop computer and network software or specialized utility programs. Analyze user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis. Update software or enhance existing software capabilities. May work with computer hardware engineers to integrate hardware and software systems, and develop specifications and performance requirements. May maintain databases within an application area, working individually or coordinating database development as part of a team."}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://www.onetcenter.org/taxonomy.html","ceterms:targetNode":"https://www.onetonline.org/link/summary/15-2041.00","ceterms:codedNotation":"15-2041.00","ceterms:frameworkName":{"en-US":"Standard Occupational Classification"},"ceterms:targetNodeName":{"en-US":"Statisticians"},"ceterms:targetNodeDescription":{"en-US":"Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information. May specialize in fields such as biostatistics, agricultural statistics, business statistics, or economic statistics. Includes mathematical and survey statisticians."}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://www.onetcenter.org/taxonomy.html","ceterms:targetNode":"https://www.onetonline.org/link/summary/15-2041.01","ceterms:codedNotation":"15-2041.01","ceterms:frameworkName":{"en-US":"Standard Occupational Classification"},"ceterms:targetNodeName":{"en-US":"Biostatisticians"},"ceterms:targetNodeDescription":{"en-US":"Develop and apply biostatistical theory and methods to the study of life sciences."}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://www.onetcenter.org/taxonomy.html","ceterms:targetNode":"https://onetonline.org/link/summary/15-2051.00","ceterms:codedNotation":"15-2051.00","ceterms:frameworkName":{"en-US":"Standard Occupational Classification"},"ceterms:targetNodeName":{"en-US":"Data Scientists"},"ceterms:targetNodeDescription":{"en-US":"Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports."}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://www.onetcenter.org/taxonomy.html","ceterms:targetNode":"https://www.onetonline.org/link/summary/15-2051.01","ceterms:codedNotation":"15-2051.01","ceterms:frameworkName":{"en-US":"Standard Occupational Classification"},"ceterms:targetNodeName":{"en-US":"Business Intelligence Analysts"},"ceterms:targetNodeDescription":{"en-US":"Produce financial and market intelligence by querying data repositories and generating periodic reports. Devise methods for identifying data patterns and trends in available information sources."}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://www.onetcenter.org/taxonomy.html","ceterms:targetNode":"https://www.onetonline.org/link/summary/15-2051.02","ceterms:codedNotation":"15-2051.02","ceterms:frameworkName":{"en-US":"Standard Occupational Classification"},"ceterms:targetNodeName":{"en-US":"Clinical Data Managers"},"ceterms:targetNodeDescription":{"en-US":"Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends."}},{"@type":"ceterms:CredentialAlignmentObject","ceterms:framework":"https://www.onetcenter.org/taxonomy.html","ceterms:targetNode":"https://www.onetonline.org/link/summary/25-1199.00","ceterms:codedNotation":"25-1199.00","ceterms:frameworkName":{"en-US":"Standard Occupational Classification"},"ceterms:targetNodeName":{"en-US":"Postsecondary Teachers, All Other"},"ceterms:targetNodeDescription":{"en-US":"All postsecondary teachers not listed separately."}}],"ceterms:subjectWebpage":"https://www.kennesaw.edu/degrees-programs/doctoral-degrees/data-science-analytics.php?major=Doctor+of+Philosophy+in+Data+Science+and+Analytics+\u0026url=https%3A%2F%2Fwww.kennesaw.edu%2Fdegrees-programs%2Fdoctoral-degrees%2Fdata-science-analytics.php","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:estimatedDuration":[{"@type":"ceterms:DurationProfile","ceterms:maximumDuration":"P7Y","ceterms:minimumDuration":"P3Y"}],"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=30.7001","ceterms:codedNotation":"30.7001","ceterms:frameworkName":{"en-US":"Classification of Instructional Programs"},"ceterms:targetNodeName":{"en-US":"Data Science, General."},"ceterms:targetNodeDescription":{"en-US":"A program that focuses on the analysis of large scale data sources from the interdisciplinary perspectives of applied statistics, computer science, data storage, data representation, data modeling, mathematics, and statistics. Includes instruction in computer algorithms, computer programming, data management, data mining, information policy, information retrieval, mathematical modeling, quantitative analysis, statistics, trend spotting, and visual analytics."}}]}