National Science Foundation (NSF) Noyce Scholarship opportunity for future urban educators specializing in STEM

Davenport University's College of Urban Education is offering a scholarship opportunity for students pursuing a degree in any science, technology, engineering or mathematics (STEM) field including biological laboratory sciences and computer sciences, and whose goals are teaching in STEM programs within urban school districts. This scholarship enables students to complete their junior and senior years tuition free if they commit to becoming a STEM educator. STEM professionals that are interested in becoming teachers are also eligible for stipend support while they complete Davenport’s graduate certificate in urban education.

An NSF Robert Noyce Teacher Scholarship Grant was awarded to Davenport's College of Urban Education to develop K-12 STEM teachers in high-need school districts. Michigan is facing a teacher shortage and this scholarship will equip students with the skills to be highly effective STEM educators in urban schools.

Scholarship benefits

Eligible students selected for this scholarship will receive:

  • A  full-ride scholarship to complete their chosen bachelor’s program
  • A teaching certificate through Davenport’s one-of-a-kind Future Urban STEM Educators (FUSE) Scholar Program
  • Specialized training in STEM education teaching practices for K-12 urban schools

Application information

  • Students must apply by December 12, 2021 
  • Students interested in applying for the scholarship should reach out to Kristen Evenhouse via email at kristen.evenhouse@davenport.edu
  • Each applicant will interview for the opportunity
  • Students will be selected based on their academic performance

FUSE Scholar Program

Students chosen for this scholarship program will become FUSE Scholars. The FUSE Scholar Program grants graduates a teaching certificate through Davenport’s College of Urban Education and equips them with the skills and tools to be highly effective STEM educators in urban schools. 

This material is based upon work supported by the National Science Foundation under Grant No. 2050597. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.