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，以及四年制数据科学学位课程的激增，为两年制大学创造了迫切的机会。如果唯一的来源是四年制学院和大学，目前的数据专业人员供应无法跟上预期的需求。此外，两年制大学服务于大量第一代大学生和来自STEM中代表性不足的群体的学生，因此它们提供了一种增加数据专业人员多样性的手段。两年制大学必须在数据科学教育中发挥关键作用，既要为学生转学四年制院校的课程做好准备，也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工作队伍中担任专门的职位。这次研讨会将促进两年制大学数据科学课程的建立和发展，将以前涉及数据科学教育的NSF项目的参与者、正在开发数据科学课程的两年制大学的教职员工和管理人员以及来自不同行业的数据专业人员聚集在一起。研讨会还将补充美国国家科学院正在进行的关于“展望数据科学学科：本科生视角”的研究，该研究正在为本科生层面的新兴数据科学学科建立愿景。以前的项目考虑了潜在的本科数据科学课程，并提出了指导两年制大学数据科学课程的职业道路模型，但这些努力或多或少是独立进行的，从不同的角度进行。为期两年的大学数据科学课程首脑会议将巩固以前工作的成果，并将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，试图推出此类课程的人面临的挑战，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，仿照帕克市数学学院(PCMI)的数据科学本科课程指南；(3)为正在考虑创建数据科学课程的两年制大学提供的可用资源的文档。研讨会的讨论和产品将集中于三个学生群体的需求：副学士学位后寻找工作的人，寻求转到四年制项目的人，以及寻求大学水平的数据科学课程和证书以促进职业发展的人。

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.