Systematic Study of Data Science and Analytics Programs

dc.contributor.authorWu, Huanmei
dc.contributor.departmentBioHealth Informatics, School of Informatics and Computingen_US
dc.date.accessioned2018-04-26T17:33:45Z
dc.date.available2018-04-26T17:33:45Z
dc.date.issued2017-06
dc.description.abstractRapid advances in information technologies have led to the generation of massive data sets, especially in life science and biomedical informatics. These data sets are valuable assets and in great needs to be analyzed. However, there is a shortage of workforce for big data analysis. Education innovations are required to empower students with the skills and technologies for large dataset analysis. Over the last few years, there is a high demand for new programs in data science and analytics (DSA). We has performed a systematic study of the existing DSA programs in the US by checking the detailed information about the degree programs, the program competencies, the curriculum designs, the expected learning outcomes, program sizes, professional careers, and other related information. There are more than 70 DSA programs offered in the US. This study provides guidance on DSA related program development and curriculum design. It also provides the potential trainees in DSA with the current market needs and the required knowledge for their future career.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationWu, H. (2017). Systematic study of big data science and analytics programs (Vol. 2017-June). Presented at the ASEE Annual Conference and Exposition, Conference Proceedings.en_US
dc.identifier.urihttps://hdl.handle.net/1805/15915
dc.language.isoenen_US
dc.publisherASEEen_US
dc.relation.journal2017 ASEE Annual Conference and Exposition Proceedingsen_US
dc.rightsPublisher Policyen_US
dc.sourceAuthoren_US
dc.subjectcurriculaen_US
dc.subjectinformation technologyen_US
dc.subjectinnovationen_US
dc.titleSystematic Study of Data Science and Analytics Programsen_US
dc.typeConference proceedingsen_US
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