Big Data Education Landscape for Graduates in Morocco: Insights from 2022 Offerings

Karim Ghanouane, Taoufik Benkaraache
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Abstract

The main objective of this research was to analyze graduate programs in Big Data in Morocco in 2022, focusing on the technical skills, tools and technologies, and functional skills taught in the programs. In the digital age, the Big Data revolution has generated massive amounts of data, transforming the way businesses and organizations around the world make decisions and innovate. In this ever-changing context, Training of Big Data professionals in Morocco in 2022 is crucial. The expansion of Big Data has created a growing need for skilled professionals to manage these immense data sets. Higher education programs play a key role in preparing these future experts. This study adopted a content analysis methodology, examining the curricula of 16 public engineering schools, and 21 accredited public schools and science faculties in Morocco. The technical skills, tools and technologies, and functional skills taught were analyzed and compared with existing literature on Big Data skills. The programs focus on technical skills such as programming, machine learning, statistics, and mathematics, with Python as the main tool. However, certain skills, such as predictive analysis, are under-represented. Functional skills in communication and management are essential; however, skills in agile methods and change management vary in coverage. The results offer an insight into the alignment between higher education programs and the needs of the Big Data market. Educational institutions can adjust their programs to better meet emerging needs, focusing on under-represented skills, and ensuring the continued relevance of training.
摩洛哥毕业生的大数据教育情况:从 2022 年的办学情况中获得的启示
本研究的主要目的是分析 2022 年摩洛哥大数据专业的研究生课程,重点关注课程所教授的技术技能、工具和技术以及职能技能。在数字时代,大数据革命产生了海量数据,改变了全球企业和组织的决策和创新方式。在这种不断变化的背景下,2022 年摩洛哥大数据专业人员培训至关重要。大数据的发展对管理这些海量数据集的专业技能人才的需求日益增长。高等教育项目在培养这些未来专家方面发挥着关键作用。本研究采用内容分析法,对摩洛哥 16 所公立工程学校和 21 所经认证的公立学校和理学院的课程进行了研究。对所教授的技术技能、工具和技术以及职能技能进行了分析,并与有关大数据技能的现有文献进行了比较。这些课程侧重于编程、机器学习、统计和数学等技术技能,并将 Python 作为主要工具。但是,某些技能(如预测分析)的代表性不足。沟通和管理方面的职能技能是必不可少的;然而,敏捷方法和变革管理方面的技能在覆盖范围上却各不相同。这些结果有助于深入了解高等教育课程与大数据市场需求之间的一致性。教育机构可以调整其课程,以更好地满足新出现的需求,重点关注代表性不足的技能,并确保培训的持续相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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