An Accelerated Associate to Master’s Degree Pathway in Data Analytics

该项目将有助于对受过良好教育的数据分析师和科学家，数学家，工程师和技术人员的国家需求，通过支持高成就，低收入学生的保留和毕业，证明经济需要在掩体山社区学院和东北大学。在为期一年的时间里，该项目将支持制定第3轨道S-STEM提案，该提案将概述一项计划，为100多名正在攻读数据科学副学士，学士和硕士学位的全日制和兼职学生提供奖学金。该项目旨在为S-STEM项目制定一项提案，该项目将支持数据分析师/科学专业的学生通过从数据科学领域的学士学位到硕士学位的整个途径。为了回应国家对高等教育高成本和对数据科学专业人员需求的担忧，该计划旨在提供一种低成本，加速的替代方案，以获得学位并进入数据科学职业生涯。在该项目中开发的轨道3 S-STEM计划旨在提供奖学金，但除此之外，该计划将为学生提供支持性的加速途径，使他们为学术成功和大波士顿都会区的数据科学职业做好准备。凭借强大的行业支持，当地社区合作伙伴的参与，劳动力发展合作伙伴，当地高中和当地行业合作伙伴，以及东北大学和掩体山社区学院之间现有的基础设施和衔接协议，该计划旨在鼓励，加强和加速学生参与学术准备，职业发展，和进入STEM劳动力。该项目的总体目标是增加低收入，通过准备一个计划的提案，提供与入门级数据分析师相关的适当量身定制的STEM证书的途径，证明有经济需求的高成就本科生/波士顿地区最需要的科学工作该计划将促进参与本科研究和带薪实习，行业和同行指导，专业咨询以及其他量身定制的学术，职业和社会支持，这些支持被研究人员认为是扩大参与和提高保留率的高影响力实践。在整个项目过程中，将建立行业合作伙伴关系，以确保该计划与行业需求和不断增长的数据分析师/科学领域保持一致。该项目的结果将支持更大的S-STEM赠款的发展，这将有助于STEM劳动力和战略的理解，以支持低收入学生的成功。该项目由NSF的科学，技术，工程和数学奖学金计划资助，该计划旨在增加低收入学术人才的数量，这些学生表现出经济需求，并获得STEM领域的学位。它还旨在改善未来STEM工作者的教育，并产生关于低收入学生的学术成功，保留，转移，毕业和学术/职业道路的知识。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和更广泛的影响审查标准进行评估，被认为值得支持。

This project will contribute to the national need for well-educated data analysts and scientists, mathematicians, engineers, and technicians by supporting the retention and graduation of high-achieving, low-income students with demonstrated financial need at Bunker Hill Community College and Northeastern University. Over its one-year duration, this project will support the development of a Track 3 S-STEM proposal, that will outline a plan to provide scholarships to over 100 unique full time and part time students who are pursuing associate, bachelor’s, and master’s degrees in data science. This project intends to develop a proposal for an S-STEM project that would support data analyst/science students through the entire pathway from associates to bachelor’s to master's degrees in the data science field. Responding to national concerns about the high cost of postsecondary education and the demand for data science professionals, the program intends to offer a low-cost, accelerated alternative to earn degrees and enter careers in data science. The Track 3 S-STEM program developed in this project intends to provide scholarships, but additionally, the program will embed students in a supportive, accelerated pathway that prepares them for academic success and for data science careers in the greater Boston metro area. With strong industry support, the engagement of local community partners, and workforce development partners, local high schools and local industry partners, and together with existing infrastructure and articulation agreements between Northeastern University and Bunker Hill Community College, this program aims to encourage, enhance, and accelerate student engagement in academic preparation, career development, and entry into the STEM workforce.The overall goal of this project is to increase STEM degree completion of low-income, high-achieving undergraduates with demonstrated financial need by preparing a proposal for a program that provides appropriately tailored pathways to STEM credentials tied to entry-level data analyst/science jobs that are in demand in the Boston area. The program to be developed will facilitate participation in undergraduate research and paid internships, industry and peer mentorship, specialized advising, and other tailored academic, career, and social supports that are recognized by researchers as high impact practices in broadening participation and increasing retention. Over the course of the project, industry partnerships will be established to ensure that the program is aligned with industry demands and the growing data analyst/science field. Results of this project will support the development of a larger S-STEM grant that will contribute to the STEM workforce and understanding of strategies to support the success of lower income students. This project is funded by NSF’s Scholarships in Science, Technology, Engineering, and Mathematics program, which seeks to increase the number of low-income academically talented students with demonstrated financial need who earn degrees in STEM fields. It also aims to improve the education of future STEM workers, and to generate knowledge about academic success, retention, transfer, graduation, and academic/career pathways of low-income students.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.