A skill set based framework to increase the recruiting efficacy for data science graduates

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Successful placement of IS students in rewarding careers has an impact on how the IS major is viewed by students. The rise of the data science field provides an opportunity to rebrand and rebuild IS departments off the career placement successes of IS graduates. 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. The framework was developed based on empirical evidence over several years in successfully placing IS graduates into IS consulting firms across the U.S. The framework contains three different perspectives: the university IS department, the organizations hiring IS graduates, and the IS graduates themselves. This framework can be used by IS departments seeking to place their graduates in the data science field.

Original languageEnglish
Title of host publication2015 Americas Conference on Information Systems, AMCIS 2015
PublisherAmericas Conference on Information Systems
ISBN (Electronic)9780996683104
StatePublished - 2015
Event21st Americas Conference on Information Systems, AMCIS 2015 - Fajardo, Puerto Rico
Duration: Aug 13 2015Aug 15 2015

Publication series

Name2015 Americas Conference on Information Systems, AMCIS 2015

Conference

Conference21st Americas Conference on Information Systems, AMCIS 2015
Country/TerritoryPuerto Rico
CityFajardo
Period08/13/1508/15/15

Keywords

  • Data science
  • Student skill sets
  • Student-employer engagement

Fingerprint

Dive into the research topics of 'A skill set based framework to increase the recruiting efficacy for data science graduates'. Together they form a unique fingerprint.

Cite this