{"@id":"https://credentialengineregistry.org/resources/ce-450d4ab1-af21-4a19-a613-a14e031e47bf","@type":"ceterms:BachelorDegree","@context":"https://credreg.net/ctdl/schema/context/json","ceterms:ctid":"ce-450d4ab1-af21-4a19-a613-a14e031e47bf","ceterms:name":{"en-US":"Data Science and Engineering"},"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":"Math and Science Requirements MATH 2110Q (Multivariable Calculus) and MATH 2210Q (Applied Linear Algebra) STAT 3025Q (Statistical Methods) One two-semester laboratory course sequence from either chemistry or physics: Chemistry: CHEM 1127Q-1128Q, 1137Q-1138Q, or 1147Q-1148Q; Physics: PHYS 1401Q-1402Q, 1501Q-1502Q, or 1601Q-1602Q One additional science course from the following list (but not in the same department as the two semester sequence): BIOL 1107, 1108, or 1110; CHEM 1127Q, or 1128Q; PHYS 1401Q, 1402Q, 1502Q, 1601Q, or 1602Q; ERTH 1050, or ERTH 1051 and 1052 \n\nRequired Data Science and Engineering Courses Course number Credits Course Name Notes CSE 1010 3 Introduction to Computing for Engineers CSE 2050 3 Data Structures and Object-Oriented Design CSE 2500 3 Introduction to Discrete Systems CSE 2600 3 Introduction to Data Science and Engineering New course CSE 3000 1 Contemporary Issues in Computer Science and Engineering CSE 3140 2 Cybersecurity Lab CSE 3500 3 Algorithms and Complexity CSE 4502 3 Big Data Analytics CSE 4701 3 Principles of Databases CSE 4820 3 Introduction to Machine Learning CSE 4939W 3 Senior Design I CSE 4940 3 Senior Design II Total 33 \n \nElective Data Science \u0026amp; Engineering Courses\nA minimum of four (4) courses totaling 12 credits from the following list: CSE 2102 (Introduction to Software Engineering) CSE 3400 or CSE 5850 (Introduction to Cyber-Security) BME 3401 (Introduction to Computational and Systems Biology) CSE 3800 or CSE 5800 (Bioinformatics) CSE 3802 or ECE 3431 (Numerical Methods in Scientific Computation) STAT 3965 or MATH 3170 (Elementary Stochastic Processes) ECE 4131 (Introduction to Digital Signal Processing) ECE 4132 (Image Processing Systems Laboratory) CSE 4705 (Artificial Intelligence) BME 4810 (Machine Learning Methods for Biomedical Signal Analysis) CSE 5520 (Data Visualization and Communication) CSE 5713 (Data Mining) CSE 5820 (Machine Learning)\n \n\nFree Electives\nAdditional elective courses to reach a minimum of 120 credits."},"ceterms:recognizedBy":["https://credentialengineregistry.org/resources/ce-b292f406-b76c-4b0d-8eb0-789488e8f80c"],"ceterms:subjectWebpage":"https://admissions.uconn.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."}}]}