About this paper

Appears in:
Pages: 2894-2903
Publication year: 2016
ISBN: 978-84-617-5895-1
ISSN: 2340-1095
doi: 10.21125/iceri.2016.1623

Conference name: 9th annual International Conference of Education, Research and Innovation
Dates: 14-16 November, 2016
Location: Seville, Spain

ANALYSIS OF EDUCATION AND JOB TRENDS IN DATA SCIENCE

V. Lai, K.J. Shim, M. Prithivirajan

Singapore Management University (SINGAPORE)
As we are approaching Year 2017, the term "data scientist" is continuing to be a top trending job title in many job portals. Due to this signifant increase in the demand of "data" ready workforce, many organizations around the world (includnig educational institutions as well as professional training firms both offline and online) are offering courses in "Data Science" as a subject. This study examines job trends in Data Science. In particular, our study investigates job trends across industry verticals and across different geographical areas. Further, our study examines skills and qualifications associated with each different job position. The insights derived from this analysis are useful to educational institutions as well as training firms in designing courses and programs that are best aligned with the industry demand. We built a system that automatically crawls job trend data from multiple external sources and cross compares different job postings (including skills in demand) against skills taught in an Information Systems undergraduate and graduate programs at a Singapore tertiary educational institution.
@InProceedings{LAI2016ANA,
author = {Lai, V. and Shim, K.J. and Prithivirajan, M.},
title = {ANALYSIS OF EDUCATION AND JOB TRENDS IN DATA SCIENCE},
series = {9th annual International Conference of Education, Research and Innovation},
booktitle = {ICERI2016 Proceedings},
isbn = {978-84-617-5895-1},
issn = {2340-1095},
doi = {10.21125/iceri.2016.1623},
url = {http://dx.doi.org/10.21125/iceri.2016.1623},
publisher = {IATED},
location = {Seville, Spain},
month = {14-16 November, 2016},
year = {2016},
pages = {2894-2903}}
TY - CONF
AU - V. Lai AU - K.J. Shim AU - M. Prithivirajan
TI - ANALYSIS OF EDUCATION AND JOB TRENDS IN DATA SCIENCE
SN - 978-84-617-5895-1/2340-1095
DO - 10.21125/iceri.2016.1623
PY - 2016
Y1 - 14-16 November, 2016
CI - Seville, Spain
JO - 9th annual International Conference of Education, Research and Innovation
JA - ICERI2016 Proceedings
SP - 2894
EP - 2903
ER -
V. Lai, K.J. Shim, M. Prithivirajan (2016) ANALYSIS OF EDUCATION AND JOB TRENDS IN DATA SCIENCE, ICERI2016 Proceedings, pp. 2894-2903.
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