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Teacher Education | Math for America

The Carnegie Institution of Washington's Carnegie Academy of Science Education (CASE) has launched the Math for America Fellowship Program (MƒA DC) in Washington, DC in partnership with American University's School of Education, Teaching & Health (SETH) and the Department of Mathematics and Statistics.

MƒA DC's goal is to ensure excellence in mathematics teaching in DC public and public charter secondary schools by recruiting, training, and retaining talented mathematics teachers who commit to teaching in DC schools for a four-year period.

The first cohort of six fellows started the program in the summer of 2009.  The second cohort of eight fellows will begin the program in summer 2010.  These cohorts are generously funded through a grant from the National Science Foundation's Teaching Fellowships track of the Robert Noyce Teacher Scholarship Program.

MƒA DC recruits fellows who demonstrate both mathematical talent and a strong commitment to the teaching profession and service in DC. Fellows participate in SETH's Masters in Teaching (MAT) degree program in Secondary Education: Mathematics.  After completion of the MAT program, fellows teach math in DC schools for at least four years.

How the Fellowship Works

Year 1: Prepare to become a secondary school math teacher

  • Masters level teacher preparation program with tuition and fees paid by MƒA DC
  • Extensive student teaching experience
  • $22,000 MƒA DC stipend
  • Pre-service professional development

Years 2 – 5: Teach in a Washington DC high need public or public charter school

  • Receive a regular teacher’s salary and MƒA stipends of $12,500 per year
  • Mentoring, coaching, and other support services
  • Participate in professional development activities

Please find application information at the MƒA-DC website.

Contact Information:

Bianca Abrams, Executive Director, MƒA DC
202-939-1135
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This program is partially supported by the National Science Foundation under Grant No. DUE-0934758.  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 (NSF).