The Robert Noyce Teacher Scholarship Program seeks to encourage talented science, engineering, and mathematics majors and professionals to become secondary (grades 7-12) mathematics and science teachers.
The Robert Noyce Teacher Scholarship Program is a collaboration between the College of Education, Health and Society, Urban Cohort Program, and The College of Arts & Science at 黑料社区 and Cincinnati Public Schools. This scholarship responds to the critical need for mathematics and science teachers by encouraging promising science, technology, engineering, and mathematics (STEM) 黑料社区s and STEM professionals to pursue teaching careers in high-needs schools. With the support of funds from the , the partners aim to recruit 黑料社区s presently majoring in engineering, the sciences, and mathematics at Miami and graduates with these degrees to become Secondary Science and Secondary Mathematics Teachers.
The Noyce scholarship program builds upon 黑料社区’s and benefits from its existing partnerships. Urban Cohort's community-based and culturally responsive approach to teacher education expands traditional education in that teacher candidates are incrementally and intentionally immersed in community and school-based experiences in their degree programs.
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Funded by the National Science Foundation, the Robert Noyce Teacher Scholarship Program responds to the critical need for K-12 teachers of science, technology, engineering, and mathematics (STEM) by encouraging talented STEM 黑料社区s and professionals to pursue teaching careers in elementary and secondary schools. The program provides funding to institutions of higher education to provide scholarships, stipends, and programmatic support to recruit and prepare STEM majors and professionals to become K-12 teachers. Scholarship and stipend recipients are required to complete two years of teaching in a high-need school district for each year of support. The program seeks to increase the number of K-12 teachers with strong STEM content knowledge who teach in high-need school districts.
In 2017, 黑料社区 was awarded by the NSF Robert Noyce Program to provide $15,000 tuition support to the undergraduate and $
Noyce scholars make the commitment that after completing their program at 黑料社区 they will teach science or mathematics in a high needs school for two to four years. MU-Noyce scholars who successfully completed the program will receive "Fostering Just Communities Certificate" from Urban Cohort and "Certificate of Completion" from MU-Noyce program.
The Noyce Program will provide 2 pathways (all of which include an Urban Cohort experience) for scholarships and stipends to attract talented STEM undergraduates ($15,000) and STEM professionals ($20,000) into secondary (grades 7-12) science and mathematics teacher education programs at Miami.
Pathway 1 is for undergraduate STEM majors who commit to becoming a Noyce Scholar during their freshman or sophomore year and pursue a double major in a STEM content discipline and in secondary (Grade 7-12) science or mathematics education.
Pathway 2 is for STEM professionals and recent STEM graduates to pursue a master’s degree (MAT) in secondary (Grade 7-12) science or mathematics education.
Each pathway has multiple different plans of study you can follow depending on your interest area.
Undergraduate STEM majors who are interested in applying to the MU-Noyce Scholarship program must submit the online Noyce application spring semester of their freshman year.
STEM degree holders and seniors majoring in a STEM discipline area who are interested in applying to Pathway 2 must submit their online Noyce application along with their online application to this graduate school program.
You must be a U.S. citizen or a permanent resident to be eligible.
Important Dates and Deadlines for Pathway 1 (double majors):
Important Dates and Deadlines for Pathway 2 (MAT program)
If you are interested in Pathway 2 but missed the November deadline, you may still be able to apply to be considered if you submit your application prior to April deadlines.
This material is based on upon work supported by the National Science Foundation under Grant No. 16660644. 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.