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

This project, led by Northeastern University, 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 planning grant 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. The proposed project will support data analyst/science students through the associates and bachelor’s pathways 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. 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. 

Project Team

Principal Investigator: 

  • Uwe  Hohgrawe, Northeastern University

co-Principal Investigators:

  • Joyce  Malyn-Smith, Education Development Center (EDC)
  • Elizabeth  Zulick, Northeastern University
  • Michael  Harris, Bunker Hill Community College

This project was funded by the National Science Foundation, grant # 2221340.


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