A Comprehensive Framework to Enhance the Effectiveness of the Recruiting Experience for Data Science Graduates

نویسندگان

  • Jason Triche
  • David Firth
  • Michael Harrington
چکیده

The allure of the IS major depends on the successful placements of recent IS graduates in rewarding careers. The rise of the data science field provides an opportunity to rebrand and rebuild IS departments using the careerplacement successes of IS graduates as a springboard. This paper describes a framework that IS departments can use to coordinate between the employer demand side and the graduate supply side of the data science job market. We developed the framework based on empirical evidence gained over several years in successfully placing IS graduates into IS consulting firms across the US. The framework contains four different perspectives: the university IS department, the organizations hiring IS graduates, the IS graduates themselves, and career-development professionals at the university and college level. IS departments seeking to place their graduates in the data science field can use this framework.

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عنوان ژورنال:
  • CAIS

دوره 39  شماره 

صفحات  -

تاریخ انتشار 2016