Summit on Two-Year College Data Science Curricula

行业和政府对合格数据专业人员的需求以及数据科学四年制学位课程的激增为两年制大学创造了紧迫的机会。如果数据专业人员的唯一来源是四年制学院和大学，那么目前的数据专业人员供应无法跟上预期的需求。此外，两年制大学为大量第一代大学生和来自STEM代表性不足的群体的学生提供服务，因此它们为增加数据专业人员的多样性提供了一种手段。两年制大学必须在数据科学教育中发挥至关重要的作用，既要为学生转入四年制大学的课程做好准备，又要提供副学士学位课程和证书课程，使毕业生有资格在数据科学劳动力中担任专业角色。本次研讨会将促进两年制学院数据科学课程的建立和发展，将以前NSF项目的参与者聚集在一起，这些项目涉及数据科学教育，正在开发数据科学课程的两年制学院的教师和管理人员，以及来自各个行业的数据专业人员。该研讨会还将补充正在进行的国家科学院关于“展望数据科学学科：本科生视角”，这是建立在本科层次的数据科学的新兴学科的愿景。以前的项目已经考虑了潜在的本科数据科学课程，并提出了职业途径模型，以指导两年制大学数据科学课程，但这些努力多少是独立进行的，从不同的角度出发。两年制大学数据科学课程峰会将巩固以前工作的成果，并从一系列学科和雇主的角度全面审视数据科学工作所需的知识和技能。结果将包括（1）一份报告，总结两年制大学数据科学课程的现状，那些试图推出此类课程的人所面临的挑战，以及增加此类课程数量所需的进一步工作和资源;（2）两年制大学数据科学课程的课程指南，以帕克城数学研究所（PCMI）数据科学本科课程课程指南为模型;（3）正在考虑创建数据科学课程的两年制大学的可用资源文档。研讨会的讨论和产品将集中在三个学生群体的需求：那些寻求就业后的副学士学位，那些寻求转移到四年制课程，以及那些寻求大学水平的课程和证书的数据科学专业发展。

The demand for qualified data professionals in industry and government and the surge of four-year degree programs in data science create urgent opportunities for two-year colleges. The current supply of data professionals cannot keep up with projected demand if the sole source is four-year colleges and universities. Moreover, two-year colleges serve a large number of first-generation college students and students from groups underrepresented in STEM, and they therefore provide a means of increasing diversity among data professionals. Two-year colleges must play a crucial role in data science education, both by preparing students to transfer to programs at four-year institutions and by offering associate degree programs and certificate programs that will qualify graduates for specialized roles in the data science workforce. This workshop will foster the establishment and growth of data science programs at two-year colleges by bringing together participants in previous NSF projects that have addressed data science education, faculty and administrators from two-year colleges that are developing data science programs, and data professionals from a variety of industries. The workshop will also complement the in-progress National Academies study on "Envisioning the Data Science Discipline: The Undergraduate Perspective," which is establishing a vision for the emerging discipline of data science at the undergraduate level.Previous projects have considered potential undergraduate data science curricula and have proposed career pathway models to guide two-year college data science programs, but these efforts have proceeded more-or-less independently and from different perspectives. The Summit on Two-Year College Data Science Curricula will consolidate the results of the previous work and will allow a comprehensive look, from the perspective of a range of disciplines and employers, at the knowledge and skills that are needed in data science jobs. Outcomes will include (1) a report summarizing the current state of data science programs at two-year colleges, the challenges that face those who are trying to launch such programs, and the further work and resources that are needed to increase the number of such programs; (2) curricular guidelines for two-year college data science programs, modeled after the Park City Mathematics Institute (PCMI) Curriculum Guidelines for Undergraduate Programs in Data Science; and (3) documentation of available resources for two-year colleges that are considering creating data science programs. The discussions and the products of the workshop will focus on the needs of three student populations: those seeking employment following an associate degree, those seeking transfer to a four-year program, and those seeking college-level courses and certificates in data science for professional development.