Journal of Applied Computing and Information Technology
ISSN 2230-4398, Volume 26, Issue 1, 2023
Incorporating the NACCQ publications:
Bulletin of Applied Computing and Information Technology,
ISSN 1176-4120
Journal of Applied Computing and Information Technology, ISSN 1174-0175
Welcome
- Executive Editor: Dr. Emre Erturk (eerturk@eit.ac.nz), or
- Senior Associate Editor: Dr. Donald Joyce (dcjoyce@xtra.co.nz).
Welcome to this issue of Computing and Information Technology Research and Education, New Zealand (CITRENZ) Journal of Applied Computing and Information Technology (JACIT), an amalgamation of two publications from the National Advisory Committee of Computing Qualifications (NACCQ): JACIT and the Bulletin (BACIT).
Are you interested in contributing a paper to JACIT? Please refer to the guidelines and templates available on the Authors tab, and then contact the editors:
Curriculum Article (2023)
Professions in the data analytics job market – Australia and New Zealand
Guozhen G. Huang, Emre Erturk and Farhad Mehdipour
This article investigates the data analytics job market in Australia and New Zealand with a focus to find the major professions that exist and how they are distinguished one from another in technical competencies. The main purposes are to inform data analytics curriculum design and development to enhance market relevance and graduate employability as well as to provide advice to assist quality assurance for the associated professional course accreditations. Currently, data analytics, either as a course or as a specialised program, is offered by different schools and in different disciplines. The variances and discrepancies among them are large and concerning. This article is the first part and partial literature review of a larger study which later includes text mining and examination (using R) of 540 job advertisements in five industries that demand data analytics skills the most. It is found that business analyst, data analyst and data scientist are three major professions in Australia and New Zealand. The larger study fills a gap in the data analytics literature by focusing on countries other than the U.S. It also offers key specific competencies for universities and the professional accrediting bodies to focus on when developing and evaluating data analytic courses and programs. It will benefit students, practitioners, employers and other parties interested in achieving better outcomes for professional development, employment and economics in capitalising values, capabilities and potentials pertaining to data analytics.