MaDaScA: Instruction of Data Science to Managers

Shahar Golan, D. Bouhnik
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Abstract

Aim/Purpose: Build a program that teaches prospect managers the skills that are relevant for leading data science activity. Background: Data science becomes ubiquitous in organizations. It is imperative to train students in management departments in the skills that are relevant to this field. Most courses in data science focus on technical knowledge like model building methods, and neglect organizational knowledge such as team roles, ethical considerations and project stages. This work suggests a complementary program that supplies the students with the required knowledge. The authors believe that this program is most suitable for management-students, and that it can also be adapted to software engineering students, in order to provide them with a wider scope. Contribution: We present the MaDaScA (Managing Data Science Activity) program. The program defines a list of topics that are required for managers’ education in order to lead data science activity. This work suggests the content and take-away messages of each topic. The paper surveys several existing courses that teach data-science to managers. Findings: All existing courses supply a part of the suggested topics, either focusing on technical aspects of data-science or on organizational aspects. In particular, only a small minority of the courses discuss ethical aspects of data science. Recommendations for Practitioners: We recommend adopting MaDaScA in management departments in order to prepare managers for the challenges in data-science. Recommendations for Researchers: We recommend adapting the MaDaScA model to the curriculum of the faculty of engineering, especially for the department of industrial engineering. Impact on Society: Educating prospect managers on the capabilities of data science and responsibilities that come with it is key for making sure organizations become much more data driven, efficient and ethical. Future Research: It is possible to make this program more effective by adding practical experience
MaDaScA:数据科学对管理者的指导
目标/目的:建立一个项目,教授潜在客户经理与领先的数据科学活动相关的技能。背景:数据科学在组织中变得无处不在。对管理部门的学生进行与本领域相关的技能培训是十分必要的。大多数数据科学课程侧重于技术知识,如模型构建方法,而忽略了组织知识,如团队角色,道德考虑和项目阶段。这项工作提出了一个补充计划,为学生提供所需的知识。笔者认为,该方案最适合管理专业的学生,也可以适应软件工程专业的学生,为他们提供更广阔的视野。贡献:我们提出MaDaScA(管理数据科学活动)计划。该计划定义了管理人员教育所需的主题列表,以便领导数据科学活动。这项工作提出了每个主题的内容和带走的信息。这篇论文调查了几门现有的向管理人员教授数据科学的课程。发现:所有现有课程都提供了建议主题的一部分,要么侧重于数据科学的技术方面,要么侧重于组织方面。特别是,只有一小部分课程讨论数据科学的伦理方面。对从业者的建议:我们建议在管理部门采用MaDaScA,以便管理人员为数据科学的挑战做好准备。对研究人员的建议:我们建议将MaDaScA模式调整到工程学院的课程中,特别是工业工程系。对社会的影响:教育潜在经理数据科学的能力和随之而来的责任是确保组织变得更加数据驱动,高效和道德的关键。未来研究:有可能通过增加实际经验使这个项目更有效
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