Exploring the Status of Education for Data Science

数据科学正在成为本科和研究生阶段非常受欢迎的学术学位课程类型。即使是对现有课程的快速回顾也会发现，对数据科学有许多不同的解释，现有课程在学习目标和课程方面也有很大差异。这些课程由许多不同的学校和部门提供，包括计算机科学，数学，统计学，计算科学，信息科学和商业。本次研讨会将汇集来自提供数据科学学位的主要学术团体的专家，以及对支持学术界开发有效课程的努力表现出长期兴趣的最重要的学术和专业协会。研讨会的目的是探索数据科学教育的现状，并讨论最能推动该领域发展的行动。研讨会的结果将被广泛地报告给学术界和实践界，并将作为进一步讨论和可能的模型课程开发工作的基础。研讨会将汇集具有数据科学专业知识和兴趣的课程开发领导者，探索为新的和不断发展的学习计划制定某种程度的指导的机会。这些问题是复杂的，涉及跨学科的问题，以及在该领域的哪些方面适合不同的学科设置的变化。讲习班参加者将试图为进一步的课程编制工作制定基本准则。其结果将是对数据科学教育现状的探索，以及推动该领域向前发展的一系列行动。

Data Science is emerging as a highly popular academic degree program type both at undergraduate and graduate levels. Even a quick review of existing programs reveals that there are many different interpretations of data science, and the existing programs vary significantly in terms of their learning objectives and curricula. The programs are offered by many different schools and departments, including computer science, mathematics, statistics, computational science, information science, and business. This workshop will bring together experts from key academic communities that are offering data science degrees and the most important academic and professional societies that have demonstrated a long-term interest in supporting the academic community's efforts in developing effective curricula. The purpose of the workshop is to explore the current state of data science education and discuss actions that will best move the field forward. The results will be reported widely to both academic and practitioner communities, and they will serve as a foundation for further discussion and possible model curriculum development efforts.The workshop will bring together leaders in curriculum development with expertise and interest in data science to explore the opportunities for developing some level of guidance for new and evolving programs of study. The questions are complex, involving interdisciplinary issues as well as variation in what aspects of the field are appropriate in different disciplinary settings. Workshop participants will attempt to establish basic guidelines for further curriculum development efforts. The result will be an exploration of the current state of data science education and a set of actions that will move the field forward.