{"@id":"https://credentialengineregistry.org/resources/ce-b23f752f-cb8e-4d59-814d-ab71597db8e3","@type":"ceterms:MasterDegree","@context":"https://credreg.net/ctdl/schema/context/json","ceterms:ctid":"ce-b23f752f-cb8e-4d59-814d-ab71597db8e3","ceterms:name":{"en-US":"Data Science"},"ceterms:ownedBy":["https://credentialengineregistry.org/resources/ce-d09d649e-2287-4db5-ada8-528b524561e2"],"ceterms:offeredBy":["https://credentialengineregistry.org/resources/ce-d09d649e-2287-4db5-ada8-528b524561e2"],"ceterms:inLanguage":["en"],"ceterms:availableAt":[{"@type":"ceterms:Place","ceterms:name":{"en-US":"Primary Address"},"ceterms:latitude":41.808192812620526,"ceterms:longitude":-72.24961504802715,"ceterms:postalCode":"06269","ceterms:addressRegion":{"en-US":"Connecticut"},"ceterms:streetAddress":{"en-US":"359 Mansfield Rd"},"ceterms:addressLocality":{"en-US":"Storrs Mansfield"}}],"ceterms:description":{"en-US":"The University of Connecticut offers a Master's of Science in Data Science through The Graduate School with the participation of the College of Agriculture, Health, \u0026amp; Natural Resources, the College of Liberal Arts \u0026amp; Sciences, the School of Business, the School of Engineering, and the Neag School of Education. \n \nAll students are required to complete the following core courses: STAT 5405 (Applied Statistics for Data Science, 3cr), CSE 5713 (Data Mining and Management, 3cr), EPSY 5641 (Research Design and Measurement for Data Science, 2cr), CAHNR 5XXX (Data Ethics and Equity, 2cr), STAT 5125 (Computing for Statistical Data Science, 3cr), OPIM 5501 (Data Visualization and Communication, 2 cr), CSE 5819 (Introduction to Machine Learning, 3cr). \n \nIn addition, every student must complete a 3-credit applied capstone, either GRAD 5XXX or an applied capstone course associated with one of the concentrations listed below. Students who elect not to pursue one of the concentrations listed below must complete 9 credits of coursework relevant to data science and approved by the Academic Director of the program. \n \nThe following concentrations are available to students pursuing an MS in Data Science:\n \nAdvanced Data Analysis: STAT 5665 (Applied Multivariate Analysis), STAT 5415 (Mathematical Statistics for Data Science), STAT 5675 (Bayesian Data Analysis), STAT 5915 (Statistical Data Science in Action) Bioinformatics: CSE 5800 (Bioinformatics), CSE 5815 (Systems Biology: Constructing Biological Knowledgebase), CSE 5840 (String Algorithms and Applications in Bioinformatics), CSE 5860 (Computational Problems in Evolutionary Genomics) Biostatistics: BIST 5625 (Introduction to Biostatistics), BIST 5645 (Concepts and Analysis of Survival Data), BIST 5615 (Categorical Data Analysis), STAT 5915 (Statistical Data Science in Action) Business Data Science: Three of the following courses - OPIM 5501 (Visual Analytics), OPIM 5502 (Big Data Analytics with Hadoop), OPIM 5504 (Adaptive Business Intelligence), OPIM 5509 (Introduction to Deep Learning), OPIM 5511 (Survival Analysis using SAS), OPIM 5512 (Data Science using Python) Cloud Computing: CSE 5299 (Computer Networks and Data Communication), CSE 5300 (Advanced Computer Networks), CSE 5304 (High-Performance Parallel Computing), CSE 5309 (Networked Embedded Systems) Cybersecurity: CSE 5850 (Introduction to Cyber-Security), CSE 5852 (Modern Cryptography: Foundations), CSE 5854 (Modern Cryptography: Primitives and Protocols) Dependent Data Analysis: BIST 5815 (Longitudinal Data Analysis), STAT 5XXX (Applied Spatial Data Analysis), STAT 5825 (Applied Time Series), STAT 5915 (Statistical Data Science in Action) Geospatial Analytics: NRE 5525 (Remote Sensing of the Environment), NRE 5585 (Python Scripting for Geospatial Analysis) and one of the following - NRE 5215 (Introduction to Geospatial Analysis with Remote Sensing), NRE 5545 (Quantitative Remote Sensing Methods), NRE 5560 (High Resolution Remote Sensing: Application of UAS and LiDAR), NRE 5235 (Remote Sensing Image Processing) Healthcare Analytics: Three of the following courses - HCMI 5240 (Health Care Organization and Management), HCMI 5243 (Health Care Economics), HCMI 5686 (Health Insurance and Risk Management), OPIM 5508 (Healthcare Analytics and Research Methods) Marketing Analytics: MKTG 5515 (Marketing Management). One of the following courses - MKTG 5220 (Big Data and Strategic Marketing), MKTG 5250 (Marketing Research and Intelligence), MKTG 5251 (Marketing and Digital Analytics), MKTG 5565 (Digital Marketing), OPIM 5510 (Web Analytics) Social and Behavioral Analytics: EPSY 6615 (Structural Equation Modeling), EPSY 6611 (Hierarchical Linear Modeling), EPSY 6XXX (Introduction to Text Analysis) Talent Analytics: MGMT 5680 (Talent Management Through the Employee Lifecycle), MGMT 5377 (Human Resource Metrics and Talent Analytics). One of the following courses - MGMT 5650 (Interpersonal Relations, Influence, and Ethical Leadership), MGMT 5674 (Negotiation Strategies), MGMT 5675 (Business Acumen and Strategic Human Resource Management)"},"ceterms:recognizedBy":["https://credentialengineregistry.org/resources/ce-b292f406-b76c-4b0d-8eb0-789488e8f80c"],"ceterms:subjectWebpage":"https://grad.uconn.edu/admissions/","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."}}]}