Building a Big Data Analytics Workforce in iSchools
There is an increasing demand for skilled personnel in big-data industries, but the existing big-data curricula at the university level focus primarily on students with a strong computational background, ignoring a large segment of students who might otherwise pursue education and training in this vital area. Therefore, this project aims at addressing the national demand for professionals with knowledge in big data and broaden the pool for a potential big-data analytics workforce.
The goal and scope of this project are to develop three innovative learning approaches. These are founded on both group-based and contextualized learning methods, applicable and accessible to students majoring in disciplines outside of computer science but related (i.e., iSchools).
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