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How Do Universities Prepare Students for a Data-driven Business Environment?

机译:大学如何为数据驱动的商业环境做好准备?

摘要

As big data becomes a more and more important asset of many organizations, recruiters expect upcoming accounting majors with some data analytics skills. Therefore, many universities actively response the new skill demand and incorporate data analytics in their accounting programs differently. The purpose of this research is to investigate and compare how and to what extent different universities prepare their accounting major students for a data-driven business environment. The scope of the research is limited to the universities that have requested data analytics course syllabus and information from an accounting faculty at Northern Illinois University and some universities within the state of Illinois. There is also limitation that many universities don’t publish the course information in detail on their websites. I firstly searched on the data analytics learning experience expected by AACSB. Then, I investigated how different universities respond to this new learning experience suggestion. According to my sample universities, I collected and prioritized popular data analytics topics, other popular course options, and common use of application software. Based on my finding, universities equip their accounting major students with data analytics skills differently from incorporating small data analytics assignments into traditional accounting courses to offering a data analytics degree.
机译:随着大数据成为许多组织中越来越重要的资产,招聘人员期望即将拥有某些数据分析技能的会计专业人士。因此,许多大学积极响应新技能需求,并以不同方式将数据分析纳入其会计计划。这项研究的目的是调查和比较不同的大学如何以及在多大程度上为会计专业学生准备数据驱动的商业环境。研究范围仅限于已向北伊利诺伊大学和伊利诺伊州的一些大学要求会计分析课程大纲和信息的大学。还有一个限制,就是许多大学没有在其网站上详细发布课程信息。我首先搜索了AACSB期望的数据分析学习经验。然后,我研究了不同的大学如何响应这种新的学习经验建议。根据我的样本大学,我收集并确定了流行数据分析主题,其他流行课程选项和应用软件的常规用途并确定了优先级。根据我的发现,大学为会计专业的学生提供数据分析技能的方式与将小数据分析任务纳入传统会计课程到提供数据分析学位的方法不同。

著录项

  • 作者

    Wei Ziwei 1995--;

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  • 年度 2017
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  • 原文格式 PDF
  • 正文语种 en_US
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