揭开数据科学家的技能:对荷兰大学数据科学和人工智能士课程的文本挖掘分析
Mathijs J Mol1, Barbara Belfi2, Zsuzsa Bakk3
1Gastroenterology and Hepatology (AMC), Amsterdam University Medical Center, Amsterdam, North Holland, The Netherlands.
PloS one
|February 29, 2024
概括
荷兰的数据科学和人工智能 (AI) 士课程专注于数据处理,统计,研究和道德. 大学定制技能,一般课程强调研究和专注于IT的技术课程.
科学领域:
- 计算机科学 计算机科学
- 教育教育教育教育教育教育.
- 社会科学 社会科学 社会科学
背景情况:
- 全球和荷兰对数据科学家的需求不断增加,推动了数据科学和人工智能 (AI) 士课程的增长.
- 在了解数据科学家的精确技能集方面存在很大的差距.
- 这就需要对当前的学术课程进行详细分析.
研究的目的:
- 分析荷兰数据科学和人工智能士课程中教授的核心能力.
- 区分所提供的专业技能和一般技能.
- 为了比较不同类型的大学之间的技能重点.
主要方法:
- 相关主题建模 (CTM) 应用于41个士课程的课程内容.
- 课程来源于11所荷兰大学和一个大学间课程.
- 分析的重点是确定和分类核心技能.
主要成果:
- 数据处理,统计,研究和道德被确定为跨程序的基础技能.
- 一般大学优先考虑研究技能; 技术大学强调IT和电子.
- 广泛的课程专注于数据处理,IT,电子和研究; 专门的课程强调统计和道德.
结论:
- 荷兰的数据科学和人工智能士课程展示了一套核心能力,根据大学类型和课程重点而有所变化.
- 了解这些技能差异对于使毕业生能力与劳动力市场需求保持一致至关重要.
- 这项研究为雇主,教育工作者和现场学生提供了宝贵的见解.
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