Meeting Industry Needs through a Two-Year Data Science Technician Education Program

通过为期两年的数据科学技术人员教育计划满足行业需求

• 批准号: 1902524
• 负责人: David Singletary
• 金额: $ 56.7万
• 依托单位: Florida State College at Jacksonville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1902524&HistoricalAwards=false
• 关键词: Meeting; Industry; Needs; through; Two

According to the Business-Higher Education Forum, well over half of employers surveyed expect that candidates with data science and analytics skills will get preference during the hiring process for job openings in 2021. In fact, the data science technician is predicted to be one of the fastest growing jobs by 2030, as employers address the velocity, volume, value, variety, and veracity of the Big Data that inundates businesses. However, less than a quarter of college and university leaders report that their graduates will have those skills. To help address this gap, this project aims to develop Florida's first Associate of Science in Data Science program. With the support of higher education partners, government entities, and industry partners, the project will develop educational and career pathways to prepare students for data science roles, particularly in entry and middle-skill data science jobs. Preparation of these students will help to address the growing state-wide and national demand for a data science workforce. The project includes professional development for college faculty to adapt the A.S. program for implementation at other institutions, thus building state-wide capacity in data science education. Because the data science technician program will be on-line, it will be accessible to a broader range of students, including non-traditional students and incumbent workers. This A.S. degree framework has the potential to serve as a model to enhance the state's educational infrastructure and will be available to 28 institutions in the Florida College System and publicly shared.The project will investigate the development of students' knowledge of data science, technical skills, and analytical abilities to provide entry- or technician-level career pathways. The data science technician program will enroll 100 undergraduate students who will have the opportunity to earn up to six industry-recognized certifications and two college credit certifications in data science as they move toward completing their A.S. degree. The project will develop online formats and resources for each course to expand student access and provide distance learning options through both hybrid and online courses for rural technician education. The data science technician courses will advance students' knowledge and competencies in core foundational data science skills including statistical software, data management and analysis, and data visualization. Sixty college faculty across multiple disciplines will participate in forty hours of faculty development in data science, to enable the data science technician program to be replicated at other institutions. The project team will measure the impact of the data science technician courses on student learning and determine their effectiveness in meeting industry partners' needs for qualified data science technicians. The team will also work with industry partners to explore opportunities for internships and career employment as a data science technician. In addition to the A.S. Degree in Data Science Technology, the program will also feature milestone-based recognition, such as local certifications and industry certifications, which will serve as motivational instruments. The project will emphasize recruitment of students from groups that are underrepresented in data science, including women, veterans, students from underrepresented minorities, and adult learners. This project is funded by NSF's Advanced Technological Education program, which focuses on the education of technicians for the high-technology fields that drive our nation's economy.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

根据商业高等教育论坛的数据，超过一半的受访雇主预计，在 2021 年职位空缺招聘过程中，具有数据科学和分析技能的候选人将获得优先考虑。事实上，数据科学技术人员预计将成为到 2030 年，随着雇主解决淹没企业的大数据的速度、数量、价值、多样性和准确性，这些工作将成为增长最快的工作。 然而，只有不到四分之一的学院和大学领导表示他们的毕业生将具备这些技能。 为了帮助解决这一差距，该项目旨在开发佛罗里达州第一个数据科学理学副学士项目。在高等教育合作伙伴、政府实体和行业合作伙伴的支持下，该项目将开发教育和职业道路，帮助学生为数据科学角色做好准备，特别是入门和中等技能的数据科学工作。这些学生的准备将有助于满足全州和全国对数据科学劳动力日益增长的需求。该项目包括大学教师的专业发展，以适应 A.S.计划在其他机构实施，从而建设全州范围内的数据科学教育能力。由于数据科学技术人员计划将在线进行，因此更广泛的学生将可以使用该计划，包括非传统学生和在职工人。这个 A.S.学位框架有潜力成为加强该州教育基础设施的模型，并将提供给佛罗里达州大学系统的 28 个机构并公开共享。该项目将调查学生数据科学知识、技术技能和知识的发展。提供入门级或技术员级职业道路的分析能力。数据科学技术员项目将招收 100 名本科生，他们在完成 A.S. 课程的过程中将有机会获得最多六项行业认可的数据科学认证和两项大学学分认证。程度。该项目将为每门课程开发在线格式和资源，以扩大学生的访问范围，并通过混合课程和在线课程为农村技术人员教育提供远程学习选择。 数据科学技术人员课程将提高学生在核心基础数据科学技能方面的知识和能力，包括统计软件、数据管理和分析以及数据可视化。跨多个学科的 60 名大学教师将参加 40 小时的数据科学教师发展课程，以使数据科学技术人员计划能够在其他机构复制。项目团队将衡量数据科学技术人员课程对学生学习的影响，并确定其在满足行业合作伙伴对合格数据科学技术人员的需求方面的有效性。 该团队还将与行业合作伙伴合作，探索数据科学技术人员的实习和职业就业机会。除了 A.S.数据科学技术学位，该计划还将提供基于里程碑的认可，例如当地认证和行业认证，这将作为激励工具。该项目将强调从数据科学领域代表性不足的群体中招募学生，包括女性、退伍军人、代表性不足的少数族裔的学生和成人学习者。 该项目由 NSF 的先进技术教育计划资助，该计划侧重于驱动我国经济的高科技领域的技术人员的教育。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值进行评估，被认为值得支持以及更广泛的影响审查标准。