Data science education programmes in Middle Eastern institutions: A survey study

IF 1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
M. Zakaria
{"title":"Data science education programmes in Middle Eastern institutions: A survey study","authors":"M. Zakaria","doi":"10.1177/03400352221113362","DOIUrl":null,"url":null,"abstract":"In response to the current trends in dealing with data in academia, various research institutions and commercial entities around the world are building new programmes to fill the gaps in workforce demand in specific disciplines, including data curation, big data, data management, data science and data analytics. Thus, the aim of the present study was to reveal the reality of data science education in the Middle East and to determine the opportunities and challenges for teaching data science in the region. Thirteen countries in the Middle East were offering 48 data science programmes at the time of the study. The results reveal that these data science programmes significantly use the words ‘data’ and ‘analytics’ in their names. With regard to the academic affiliations of the data science programmes, the study found that they are offered in a variety of schools, especially computer science, information technology and business. Moreover, the study found that computer science is the dominant trend in the programmes. Data science programmes have a significant overlap with other programmes, especially statistics and computer science, because of the interdisciplinary nature of this field. Data science schools in the Middle East differ in terms of their programme titles, programme descriptions, course catalogues, curriculum structures and course objectives. Broadly, this study may be useful for those who are seeking to establish a data science programme or to strengthen data science curricula at both the undergraduate and postgraduate levels.","PeriodicalId":45334,"journal":{"name":"IFLA JOURNAL-INTERNATIONAL FEDERATION OF LIBRARY ASSOCIATIONS","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IFLA JOURNAL-INTERNATIONAL FEDERATION OF LIBRARY ASSOCIATIONS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/03400352221113362","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

In response to the current trends in dealing with data in academia, various research institutions and commercial entities around the world are building new programmes to fill the gaps in workforce demand in specific disciplines, including data curation, big data, data management, data science and data analytics. Thus, the aim of the present study was to reveal the reality of data science education in the Middle East and to determine the opportunities and challenges for teaching data science in the region. Thirteen countries in the Middle East were offering 48 data science programmes at the time of the study. The results reveal that these data science programmes significantly use the words ‘data’ and ‘analytics’ in their names. With regard to the academic affiliations of the data science programmes, the study found that they are offered in a variety of schools, especially computer science, information technology and business. Moreover, the study found that computer science is the dominant trend in the programmes. Data science programmes have a significant overlap with other programmes, especially statistics and computer science, because of the interdisciplinary nature of this field. Data science schools in the Middle East differ in terms of their programme titles, programme descriptions, course catalogues, curriculum structures and course objectives. Broadly, this study may be useful for those who are seeking to establish a data science programme or to strengthen data science curricula at both the undergraduate and postgraduate levels.
中东机构的数据科学教育方案:一项调查研究
为了应对学术界处理数据的当前趋势,世界各地的各种研究机构和商业实体正在建立新的项目,以填补特定学科的劳动力需求缺口,包括数据管理、大数据、数据管理、数据科学和数据分析。因此,本研究的目的是揭示中东地区数据科学教育的现实,并确定该地区数据科学教学的机遇和挑战。在进行这项研究时,中东的13个国家提供了48个数据科学项目。结果显示,这些数据科学项目在名称中大量使用“数据”和“分析”这两个词。关于数据科学课程的学术关系,研究发现,许多学校都开设了这些课程,尤其是计算机科学、信息技术和商业。此外,该研究还发现,计算机科学在这些课程中占主导地位。由于该领域的跨学科性质,数据科学课程与其他课程,特别是统计学和计算机科学课程有很大的重叠。中东地区的数据科学学院在课程名称、课程描述、课程目录、课程结构和课程目标方面各不相同。总的来说,这项研究可能对那些正在寻求建立数据科学计划或加强本科和研究生水平的数据科学课程的人有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
IFLA JOURNAL-INTERNATIONAL FEDERATION OF LIBRARY ASSOCIATIONS
IFLA JOURNAL-INTERNATIONAL FEDERATION OF LIBRARY ASSOCIATIONS INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
2.70
自引率
15.40%
发文量
41
期刊介绍: IFLA Journal is an international journal which publishes original peer reviewed articles, a selection of peer reviewed IFLA conference papers, and news of current IFLA activities. Content is selected to reflect the variety of the international information profession, ranging from freedom of access to information, knowledge management, services to the visually impaired and intellectual property. The IFLA Journal aims to promote and support the aims and core values of IFLA as the global voice of the library and information profession by providing authoritative coverage and analysis of the activities of IFLA and its various constituent bodies and members, and those of other bodies with similar aims and interests.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信