Program Details

Master of Science in Mathematics with an Emphasis in Education

Offered By: College of Humanities and Social Sciences
Next Start Date:
Program Now Enrolling
Total Program Credits & Course Length:
Total Program Credits: 34
Transfer Credits:
Up to 12 credits or 1/3 of the program
Program Tuition Rate:


Lead in Mathematics and Pedagogy

Grand Canyon University’s Master of Science in Mathematics with an Emphasis in Education degree program gives students a deeper understanding of mathematics while instilling best practices in pedagogy. If you are seeking an MS in Mathematics, then GCU’s Master of Science in Math with an Emphasis in Education program prepares students for teaching undergraduate courses at two-year and four-year institutions, specializing in both campus and online modalities.

Four main domains comprise this degree program to equip students with conceptual knowledge of mathematics, which will, in turn, drive their teaching in the classroom: pedagogy, mathematical thought, statistical inference in pedagogical studies and mathematical modeling.

Degree Outcomes

Become Part of the Next-Generation of Math Teachers

Graduates of the mathematics education degree will be able to balance mathematical content with teaching and classroom techniques, and will receive graduate credits in both mathematics and in higher eduction teaching. The program integrates GCU’s Christian worldview to give students a foundation for ethical decision-making and moral character. The values-based curriculum and faith-based learning environment prepares graduates to impact the field of education and articulate pedagogy through the lens of a Christian worldview.

What You Will Learn

Engage in an Analytical, Research-Based Curriculum

Students will be exposed to the various aspects of mathematical thought and research-based pedagogical practices at the university level. They will analyze statistics involving pedagogical information and dissect the many aspects of mathematical modeling including building, analyzing, solving and explaining a mathematical model.

Course topics include:

  • Graduate algebra, real analysis and the evolution of mathematics through history
  • Mathematical modeling through technology as the bridge from theory to practice with emphasis on creating meaningful workplace projects for secondary and post-secondary learners
  • Research-based adult learning theories and pedagogical practices
  • Technology, distance learning and effective pedagogy for online and traditional instruction
  • Fundamental understanding of statistical inference from a Scholarship Of Teaching And Learning (SOTL) point of view
  • Curricular alignment, instructional design and effective communication in higher education

Career Outcomes

Gain Skills, Education to Teach Math

Upon earning your Master of Science in Mathematics with an Emphasis in Education, you will have the skills and education to teach mathematical science at the postsecondary level. Graduates will have satisfied the requirements for ongoing professional development.

Course List

The programs offered at Grand Canyon University may vary by content and course length. You are currently viewing the program version available in Arizona. For information about specific course content, credit length and VA approval in your state, please contact a counselor at 1-855-GCU-LOPE or click here to request more information.
34 credits
Total Degree Requirements:
34 credits

Program Core Courses

Course Description

This course is designed to prepare students for the graduate learning experience at Grand Canyon University. Students have opportunities to develop and strengthen the skills necessary to succeed as graduate students in the liberal arts. Emphasis is placed on utilizing the tools for graduate success.

Course Description

This course covers essential topics in algebra to prepare learners in their profession and to succeed in fulfilling future programmatic requirements. Topics include: algebraic structures, matrices, linear transformations, and their numerical applications.

Course Description

The student is asked to use techniques of mathematical proof to trace the development of important foundations of thought and advances in mathematical thinking. This course follows the evolution of mathematics through history in its attempt to represent and understand the world around us. Topics covered include induction, logic, discrete analysis, calculus, and linear programming. Emphasis is placed on how a mathematical topic originated within its historical context and the theory used to support it.

Course Description

This foundational course covers adult learning theory and pedagogical practices that are research-based and proven effective in higher education. Technology, distance learning, and effective pedagogy for online and traditional instruction are emphasized. Candidates research learning paradigms, personalized learning, and andragogy and are asked to apply their knowledge through situational case studies.

Course Description

This course is an introduction to the rigorous theory underlying calculus, covering the real number system and functions of one variable. It is based entirely on mathematical proofs. The student is expected to know how to read and, to some extent, construct proofs before taking this course. Topics typically include construction of the real number system, properties of the real number system, continuous functions, differential and integral calculus of functions of one variable, and sequences and series of functions. Prerequisite: MAT-513.

Course Description

This course looks at evidence-based data analysis from a discrete mathematics perspective. Emphasis is placed on fundamental understanding of statistical descriptors. The theoretical framework is developed through applications in cognition and instruction.

Course Description

This course covers curricular alignment, instructional design, and effective communication and collaboration amongst university stakeholders. Creating learning goals, developing student outcomes and assessments, and giving effective feedback are emphasized. Candidates are asked to collaboratively develop activities, assessments, lesson plans, and syllabi that would be appropriate for a course taught at a community college or university. Prerequisite: EDU-534.

Course Description

The student is introduced to the techniques and examination of graduate-level mathematical modeling, including formulation, application, and analysis of a mathematical model. Topics covered include differential equations, computational methods, regression, and stochastic models. Emphasis is placed on applications and computational methods.

Course Description

This course provides a brief overview of ordinary differential equations, geometric representation of ODE solutions, autonomous systems, flows on the line, linear systems and phase portraits, nonlinear systems, local and global behavior, linearization, stability, and bifurcations. Applications include models extracted from population biology, ecology, and neurophysiology.

Program Locations



Grand Canyon University’s evening programs cater to the demands of working professionals who prefer an in-person learning environment. Our night classes meet just once per week and offer the interaction and discussion of a typical college classroom. Night classes are designed for a specific number of students, providing a warm and nurturing environment that supports an engaging experience. In an evening cohort, you will progress through your degree program with the same career-minded classmates, providing an opportunity to network and forge relationships that go beyond the classroom. Classes begin frequently at various locations, including our main campus.

* Please note that this list may contain programs that are not presently offered as program availability may vary depending on class size, enrollment and other contributing factors. If you are interested in a program listed herein please first contact your University Counselor for the most current information regarding availability of the program.

* The Department of Education defines how an institution must calculate a program's On-Time Completion rate for federal disclosure purposes. The On-Time Completion rate is based on a program's published required number of months to complete all degree requirements as provided in the institution's catalog. Completion statistics are updated every January and are based on the cohort of students who started the program in the same year and then graduated within the published program length.

Online and Evening program disclosures

* Please refer to the Academic Catalog for more information. Program subject to change.