*Ph.D. in Curriculum and Instruction
Ph.D. in Curriculum and Instruction
Campus: Virginia Tech Blacksburg Campus, Instructions: Residential/On Campus
The Mathematics Education program at Virginia Tech unites faculty and students from the Mathematics Department and School of Education. Our research focuses on understanding how students learn mathematics, which informs curriculum design, teaching practices, and assessment instruments. We seek to establish equitable learning environments that take advantage of current research and technology.
Why choose this program?
Our math education faculty focus on preparing highly-qualified math teachers while engaging in innovative research on teaching and learning. With some members residing in the Department of Teaching & Learning and others in the Math Department, our faculty take advantage of opportunities to collaborate with additional Virginia Tech faculty members across the School of Education and the College of Science.
What You'll Study
The Mathematics Education Doctoral Program in the School of Education focuses on original research, preparing students for research and teaching in a context that is rigorous, collegial, and cooperative.
Required Mathematics Education courses:
- Critical Analysis of Mathematics Education Research (EDCI 5784)
- Modeling Mathematical Knowledge & Learning (MATH 5624)
- Advanced Topics in Mathematics Education (EDCI 5784)
- Research in Undergraduate Mathematics Education (MATH 5634)
- Additional courses in Teaching and Learning (e.g., EDCI) will be decided upon in consultation with your advisor. Past favorites have been:
- Exploring Teacher Education Curriculum (EDCI 5784)
- STEM Education Foundations (EDCI 5804)
- STEM Education Pedagogy (EDCI 5814)
- STEM Education Trends & Issues (EDCI 5824)
- Constructivism and Education (EDEP 6224)
- Learning & Cognition (EDEP 5114)
- Additional courses in Foundations (e.g., EDEP) will be decided upon in consultation with your advisor. Past favorites have been:
- Schooling in American Society (EDCI 5104)
- The Analysis of Educational Concepts (EDCI 6024)
- Motivation and Cognition (EDEP 6444)
- Cognitive Processes (EDEP 6114)
- Qualitative Methods in Educational Research I & II (EDRE 6504, 6524)
- Quantitative Research Methods in Education I & II (EDRE 6605, 6606)
- Additional courses in Educational Research (e.g., EDRE) will be decided upon in consultation with your advisor. Past favorites have been:
- Foundations of Educational Research and Evaluation (EDRE 5404)
- Introduction to Mixed Methods (EDRE 5674)
- Advanced Statistics for Education (EDRE 6634/STAT 6634)
- Hierarchical Linear Modeling (EDRE 6694)
- Multivariate Statistics for Applications to Educational Problems (EDRE 6654)
Courses in Mathematics (MATH) or Statistics (STAT) will be decided upon in consultation with your advisor. Past favorites have been:
- Mathematics for Secondary Teachers I (MATH 4625)
- Mathematics for Secondary Teachers II (MATH 4626)
- Secondary School Mathematics With Technology (MATH 4644)
- Research & Dissertation (EDCI 7994, 30+ hours)
PhD program is primarily designed to prepare researchers and higher education faculty. The Possible career paths could be but not limited to faculty jobs, researcher, mathematician etc.
This degree program is offered at the Blacksburg campus. The Blacksburg campus offers students the full services of the university, including an extensive library, technology support, and the Graduate Life Center.
To enroll in the doctoral program, an applicant must have:
- Possess a master's degree
- 3.0 Grade Point Average (from undergraduate or graduate degrees)
- Submit GRE scores
- Submit 3 letters of reference
- Complete an interview with the Mathematics Education program faculty
- Submit a current vita
- Submit a writing sample of scholarly work
Visit this page for more information on how to apply, including requirements, deadlines, and what you'll need in detail.
We offer fully funded graduate teaching assistantships for full time enrollment in the program. A question on the application for graduate admission asks whether you want to be considered for a teaching assistantship. Check yes, as most of our students are fully funded.
Fall: August 1
Fall: April 1
Deadline for early decision admission with full funding consideration for Fall: February 1.