Master's in Mathematics for Educators (MMEd)

Master of Science
Professor Dick teaching

Merging coursework and project work in mathematics and learning sciences, WPI’s Master of Science in Mathematics for Educators (MMED) enables classroom teachers to expand their mathematical expertise while creating more targeted and engaging learning environments for their students.

Value Proposition Description

The program is designed for current middle school, high school, and community college mathematics educators seeking to enhance the content and implementation of their mathematics courses to engage students and give them a more effective learning experience. The impact is immediate—course content can be applied in the student’s classroom right away.

Through coursework in advanced math concepts, learning sciences, and a capstone project, students will learn how technology can be used to mirror the way children learn and process information. A multidisciplinary pedagogical framework allows educators to give all types of learners a new path to explore and learn mathematical concepts. 

Developed with practicing educators in mind, the degree program offers professional licensure in Massachusetts and all classes meet in the late afternoon and evening. Most courses are available online.

math meet

Admission Process

We seek to make the transition to graduate work as easy as possible for you. Application to the program is simple; it includes an application form, transcript(s), and three letters of reference. You do not need to submit GRE scores. You may apply anytime during the year and start during any semester.

Contact the MMED Program

For more information, contact John Goulet by email or call 508-831-5036. 


The MMED program entails 30 credit hours of work: three courses in learning sciences (9 credits), math content courses (15 credits), and a culminating self-designed project (6 credits). All content courses are based on a three-semester year. Assessment and evaluation courses are offered during two semesters per year.

Degree Requirements     


Learning Sciences/Core Assessment and Evaluation Theory Courses

To fulfill the 9 credits in learning sciences/assessment and evaluation, participants must take a minimum of one course from each of the three sections below. Full course descriptions are listed under the appropriate department in the course catalog online.

Learning Theory, Environments, and Cognition Courses

PSY/SEME 501 – Foundations of the Learning Sciences (3 credits)

PSY/SEME 502 – Educational Learning Environments (3 credits)

PSY/SEME 504 – Meta-cognition, Motivation, and Affect (3 credits)

Qualitative and Quantitative Analysis and Assessment Courses

MME/SEME 524 – Probability, Statistics, and Data Analysis I (2 credits)

MME/SEME 525 – Probability, Statistics, and Data Analysis II (2 credits)

CS/SEME 565 – User Modeling (3 credit)                                

CS/SEME 566 – Graphical Models for Reasoning Under Uncertainty (3 credits)

CS/SEME 567 – Empirical Methods for Human-Centered Computing (3 credits)

Current Education and Education Research Issues Courses

PSY/SEME 503 – Research Methods for the Learning Sciences (3 credits)           

CS/SEME 568 – Artificial Intelligence for Adaptive Educational Technology (3 credits)    

Math Content Courses

Participants must take a total of 15 credits in the math department. Courses offered include but are not limited to:

MME 518 – Geometrical Concepts

MME 522 – Applications of Calculus (2 credits)

MME 523 – Analysis with Applications (2 credits)

MME 524-5 – Probability, Statistics and Data Analysis I, II (2 credits each)*

MME 526-527 – Linear Models I, II (2 credits each)

MME 528 – Mathematical Modeling (2 credits)

MME 529 – Numbers, Polynomials and Algebraic Structures (2 credits)

MME 531 – Discrete Mathematics

*One of these two can be double-counted toward the assessment and evaluation requirement




Graduate Studies Series

Team members from Graduate & Professional Studies host quick and convenient webinars designed to highlight popular topics when starting grad school. Take a deep dive into specific areas of interest such as how to secure funding, how to ace your application, an overview of student services, and more!

Faculty Profiles

Brigitte Servatius
Brigitte Servatius

What is a better way of learning, soaking knowledge up like a sponge or like a sieve? A sponge may be saturated quickly, while an appropriate sieve retains the valuable and discards the superfluous.  The essence of teaching is to enable the student to recognize the jewels in a subject, unearth them, and create a valuable collection.


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John Goulet
John Goulet
Teaching Professor, Mathematical Sciences

Teaching at WPI is a great opportunity to help incoming freshmen make the transition from high school to college as well as gain the pleasure and satisfaction that higher education can bring. Further, the WPI Plan is a unique approach to education, and John brings both enthusiasm and a special perspective as one of its first graduates. He appreciates the great people the students are and assists them into making mathematics a successful part of their start.

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