phd in mathematics education in canada

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PhD in Mathematics Education

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Doctor of Philosophy

Application & Tuition

Explore and focus on an array of mathematics education contexts including primary, secondary, or college-level teaching and learning, as well as teacher preparation.

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Program Overview Program Design & Courses Location Faculty Future Pathways Student Experiences Contact

PROGRAM OVERVIEW

Designed for.

Students from a variety of academic backgrounds who are interested in becoming scholars and leaders in mathematics education. Prior knowledge of mathematics and issues related to teaching and learning mathematics is required.

Program Structure

• 20 units of coursework plus Doctoral exam and thesis
• In-person classes, typically at the Burnaby campus
• Late afternoon or evening classes

Intake Schedule

Next Start Terms Fall 2023 (applications closed) Fall 2024

PROGRAM DESIGN & COURSES

Program design.

Participation in a doctoral program is not synonymous with participation in doctoral course work . A program is greater than the sum of its course work. It includes, among other things, participation in a scholarly community and collaboration with peers. In addition, a program carries with it an implicit understanding that its graduates will have both a broad and a deep understanding of the canon of knowledge and practices that make up our field. 

As such, there is also a set of non-course expectations for completion of our program. They are: Book Club, the Mathematics Education Doctoral Students Conference (MEDS-C), and informal Student Gatherings.

Students complete:

EDUC 905-5 FIELDWORK IV

See your supervisor for more information.

EDUC 941-5 MATHEMATICAL LEARNING AND THINKING: HISTORICAL, PHILOSOPHICAL AND PSYCHOLOGICAL DIMENSIONS

Focuses on motivations and rationales guiding seminal thinkers in the historical development of mathematical thinking, mathematical cognition and learning, with an eye toward foundational issues in contemporary educational research, theory and practice.

EDUC 942-5 CONTEMPORARY THEORIES AND METHODOLOGIES IN MATHEMATICS EDUCATION

Contemporary theories and methodologies in mathematics education will be examined and analysed. Developing an overview of mathematics education as an evolving research domain will be focal.

EDUC 946-5 DOCTORAL SEMINAR IN MATHEMATICS EDUCATION

This seminar is designed to extend and deepen students' understanding of the discipline of mathematics education. It will examine international developments, research programs, special interest groups, recent theories in learning and teaching mathematics, and issues in mathematics teacher education. Prerequisite: EDUC 942.

EDUC 983-5 COMPREHENSIVE EXAMINATION

The examination is graded on a satisfactory/unsatisfactory basis.

Normally, the comprehensive examination is completed in the term in which course requirements are completed, or the term immediately following.

EDUC 899-15* DOCTORAL THESIS

A major part of this program is original research. A thesis describing this is submitted and defended. Normally, before the fourth course a thesis research plan is presented to the supervisory committee. Upon entry to the program, every term students enroll in EDUC 899-15 Doctoral Thesis.

*Effective January 1, 2018, the unit value of EDUC 899 increased to 15 units from 10 units.

At SFU, campus life is rich with opportunities to engage with people, ideas and activities that contribute to personal development and a better world.

Perched atop Burnaby Mountain, Simon Fraser University's original Arthur Erickson-designed campus includes more than three dozen academic buildings and a flourishing sustainable residential community.

Simon Fraser University respectfully acknowledges the unceded traditional territories of the Coast Salish peoples, including the səl̓ilw̓ətaʔɬ (Tsleil-Waututh), kʷikʷəƛ̓əm (Kwikwetlem), Sḵwx̱wú7mesh Úxwumixw (Squamish) and xʷməθkʷəy̓əm (Musqueam) Nations, on which SFU Burnaby is located.

The non-departmental structure of our Faculty makes it relatively easy for students to take advantage of a wide variety of faculty expertise. Meet some of the faculty members teaching in this program.

• Rina Zazkis (Academic Coordinator)
• Sean Chorney
• Peter Liljedahl
• Nathalie Sinclair

FUTURE PATHWAYS

Where can this program take you? The world is changing rapidly and so is the full range of career and academic opportunities that await.

Occupations

• Faculty members at universities and colleges
• District mathematics education leaders for school boards
• Leaders in mathematics education at the provincial ministry level
• Educational consultants
• Researchers

STUDENT EXPERIENCES

Meet some Mathematics Education PhD students and alumni.

Dr. Sheree Rodney has had a passion for school and teaching since childhood. However, her interest in mathematics education became apparent while pursuing teacher training studies. At the time, there were very few teacher candidates with an interest in mathematics. She saw that as a gap and an opportunity to make a difference.

"My experiences as a graduate student transformed my teaching, and wanting to learn more, I decided to pursue doctoral studies in mathematics education. "

"My experiences as a graduate student transformed my teaching, and wanting to learn more, I decided to pursue doctoral studies in mathematics education."

Sandy Bakos , Current Student

Explore Mathematics Education PhD Student Life

LEARN MORE ABOUT THIS PROGRAM

Curious to know more about the program?

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Requirements

Our graduate programs in Mathematics Education offer students opportunities to pursue a wide range of research and professional interests in the areas of mathematics education, including teacher education, learning and teaching at elementary, secondary, and post-secondary levels and in diverse contexts such as community gardens, cultural spaces, artist performances, and family settings.

The Department of Curriculum and Pedagogy offers a PhD specialization in Curriculum Studies with a concentration in Mathematics Education, and MA and MEd specializations in Mathematics Education, along with a secondary Teacher Education (BEd) major, Diploma, and Certificate in Mathematics Education.

Doctor of Philosophy (PhD)

Master of Arts (MA)

Master of Education (MEd)

Master of Education (MEd) Online Cohort

Bachelor of Education (BEd)

Diploma & Certificate

All graduate program applicants in the Department of Curriculum and Pedagogy (EDCP) must meet the minimum entry requirements established by the Faculty of Graduate and Postdoctoral Studies , which oversees graduate work at UBC. Applicants who do not meet the minimum requirements will be considered for admission only in exceptional circumstances.

Doctor of Philosophy

In addition to the Faculty of Graduate and Postdoctoral Studies requirements , the Curriculum Studies graduate program requires a master’s degree with high standing in a relevant educational discipline and evidence of potential to carry out research.

• a Master’s degree with high standing in a relevant educational discipline,
• a sample of work demonstrating scholarly writing,
• a letter of intent describing the focus of the proposed research,
• The support of three referees, one of which must be from a member of your thesis supervisory committee.
• For students possessing a thesis-based Master’s degree from other than a relevant educational discipline, it may be possible to proceed into the Ph.D. after taking the core course requirements of an appropriate Master’s degree in education at UBC.

Applicants to the doctoral program are encouraged to connect with and consult an MAED faculty member before an application is submitted.

Master of Arts (Specialization in Mathematics Education)

Designed for those with interest and potential in doing academic research .

In addition to the Faculty of Graduate and Postdoctoral Studies requirements, the program normally requires:

• One-two year/s of teacher experience in an educational context; or a four-year Bachelor’s degree in Education. In special circumstances teacher education may be waived for those applicants who have a university degree with sufficient standing and experience related to their proposed field of study.
• Normally 18 credits of senior course work or a professional concentration in the area of interest.
• Normally two years’ teaching experience or other relevant professional experience.

Master of Education (Specialization in Mathematics Education)

Designed for the professional interested in connecting theory and practice .

Same as for the MA. However, applicants for MEd must be inclined to focusing their studies on application of educational theory in their professional practice.

Please see link for information

Doctor of Philosophy (in Curriculum Studies with a Concentration in Mathematics Education)

The PhD in Curriculum Studies is a flexible, research-oriented doctoral program designed for students interested in the organization of learning within educational settings. If you are admitted, you will take your first doctoral seminar in the first term and second doctoral seminar in the second term of the first year. In addition to these six credits, you will need two research methodology and two specialization courses (18 credits total). You will select your courses in consultation with your supervisor(s) or program coordinator, based on your prior academic work and research interests. Students in the PhD program typically reach candidacy by the end of the second year of their studies. In exceptional circumstances, students are allowed to take additional year to reach candidacy. Normally, students devote two to three years of developing, carrying out research, and writing dissertation to make an original contribution to knowledge in the area of specialization.

The university allows doctoral students up to six years to complete program requirements.

Please browse our admissions page for more information and applications to the Department.

Doctoral Seminars

The EDCP 601 and 602 doctoral seminars are core academic experiences for students and foster a collaborative environment for learning and research. All students are required to successfully complete both EDCP 601 and EDCP 602. EDCP 601 examines the emergence of contemporary conceptions of curriculum and pedagogy, looking across various historical and theoretical influences. Emphasis is placed on analysis of varied conceptual, philosophical, and political perspectives, explicit and tacit rationales for formal education, and consequent principles that infuse conceptions and enactments of curriculum and pedagogy. EDCP 602 unpacks the epistemological and ontological positions of various paradigms used in contemporary studies of curriculum and pedagogy. These include hermeneutic, critical, feminist, and post-structuralist thought. The course examines how scholars of curriculum and pedagogy interpret educational events, focusing on how methods and claims are informed by notions of truth, reality, and subjectivity.

Coursework and Specialization

In consultation with a supervisor(s) or program coordinator, students in the PhD program are expected to take minimum six credits of courses in their specialization so that they are familiar with current theory and research. Most of the courses in the student’s specialization are completed prior to reaching candidacy. PhD students typically take additional courses to give them the breadth and depth of understanding of contemporary theories, issues and debates expected of those pursuing the highest degree awarded by the university. These courses are recommended when they are considered a necessary contribution to the student’s scholarship.

Research Methods

PhD students are expected to be familiar with the various methods used in contemporary educational research and to become expert in the particular methods they use in their own research. Developing proficiency in research methods—including the strengths and weaknesses of each approach—normally requires enrolling in available courses and reading widely in the research methods literature. Before research proposals are approved, students are expected to demonstrate that they have acquired the knowledge and skills necessary to successfully carry out their research plan. Students are required to complete a minimum of six credits in research methods courses at 500 – 600 level (excluding EDUC 500 or equivalent.)

Comprehensive Examination

All students in the PhD program are required to successfully complete a comprehensive examination after most of their coursework is completed and before they present their research proposal. The examination is prepared in consultation with the student’s research supervisory committee or program advisory, depending on when it is taken. Details about the comprehensive examination and choices that students make related to the format of the examination can be found at https://edcp-educ.sites.olt.ubc.ca/files/2013/08/EDCP_Guidelines_Comp_Exam_Dec2010.pdf.

Research Proposal

Students develop research proposals which must be presented to and approved by a research supervisory committee. The committee comprises of a research supervisor and at least two other committee members.

Students are recommended to be admitted to candidacy upon completing the required courses, successful completion of comprehensive examination, and successfully defending their research proposal.

PhD Dissertation

The PhD dissertation is an original piece of research that contributes to knowledge in the student’s area of specialization. Research supervisory committees provide direction to the student, read and critique drafts of the dissertation, and, when the dissertation is complete, participate in the final oral examination.

PhD Registration and Residency

All doctoral students are full-time students and are expected to engage in their studies on a full-time basis. All students must register when they begin their studies. Students must remain continuously registered until the degree is completed, except for periods of time for which the student is away on anapproved leave of absence. Failure to register for two consecutive terms may result in the student being required to withdraw. Each student’s program of study must be approved by the home graduate program. All doctoral students are assessed fees according to Schedule A. Programs are paid for on a per-degree rather than a per-course basis, and there is no limit on the number of courses taken or audited during a program. Students have six years to graduate from the doctoral program, with extensions granted only under exceptional circumstances. A one-year parental leave from the program is available, and requests made for other special circumstances are considered.

For more information on requirements, see the doctoral program guides: PhD Program Guidelines

For questions, please email the Graduate Program Assistant .

Master of Arts in Mathematics Education

The program consists of a minimum of 30 credits: 21 credits of coursework plus 9 credits of thesis. A maximum of 6 credits may be taken at the 300-400 level.

Program Schedule

Sample Program of 30 credits (* denotes required course)

1. Winter 1 (September) | EDCP 550   (3) Mathematics Education Origins and Issues*

2. Winter 2 (January) | EDCP 552 (3) Mathematics Education the Early Years*

3. Summer 1 (April – May) | EDUC 500 (3) Research Methodologies in Education*

4. Summer 2 (June – August) | EDCP 562 (3) ) Introduction to Curriculum Issues and Theories*

5. Summer 2 (June – August) | Elective 1 (3) Elective option #1

6. Winter 1 (September) | EDCP 551 (3) Advanced Seminar in Mathematics Education*

7. Winter 2 (January) | EDCP 553   (3) Mathematics Education Beyond the Early Years*

8. Summer 1 (April – May) | EDCP 599 (3) Master’s Thesis

9. Summer 2 (June – August) | EDCP 599 (3) Master’s Thesis

10. Summer 2 (June – August) | EDCP 599 (3) Master’s Thesis

• A maximum of 6 credits may be taken at the 300-400 level.
• A maximum of 6 credits of EDCP 585 courses may count towards the MA degree.
• A minimum of 12 credits of Mathematics Education courses at the 500 level is required for the MA degree.

Electives Options:

• Approved electives may be taken at other universities, subject to the terms of the Western Deans’ Agreement. http://wcdgs.ca/ WCDA Form   and Graduate Exchange Agreement (McGill University, University of Toronto and University of Montréal). GREX Form
• There are wide variety of on-campus (UBC-Vancouver or Okanagan) and on-line courses which are acceptable as electives and vary in the offering from year to year. See PDCE Courses.

For more information on requirements, see the master’s program guides: Master’s Program Guidelines

Master of Education in Mathematics Education

30 Credits – Suggested Program (* denotes required course)

1. Winter 1 (September) | EDCP 550 (3) Mathematics Education Origins and Issues*

4. Summer 2 (June – August) | EDCP 562 (3) ) Introduction to Curriculum Issues and Theories*

7. Winter 2 (January) | EDCP 533 (3) Mathematics Education Beyond the Early Years*

8. Summer 1 (April – May) | Elective 2   (3) Elective option #2

9. Summer 2 (June – August) | Elective 3   (3) Elective option #2

Year 2 + 1 term

10. Final Term Winter 1 (September) | EDCP 590   (3) Graduating Paper

• For B.C. teachers: Teacher Qualification Service requires a capstone experience (EDCP 590 (3) Graduating Paper).
• Graduating students who do not need to satisfy the BC Teacher Qualification Services requirement of completing an MEd capstone experience graduating paper (EDCP 590) may instead complete an elective for 3 credits with consultation of their program supervisor.
• A maximum of 6 credits of EDCP 585 courses may count towards the MEd degree.
• A minimum of 12 credits of Mathematics Education courses at the 500 level is required for the MEd degree.

Apply Online

Find and approach a potential supervisor.

The most important first step in applying for admission to our graduate program is finding and approaching a potential supervisor in the department. This gives you an opportunity to discuss the research you are interested in completing as a graduate student. We make every effort to match an applicant with a supervisor. However, if there are no supervisors available, we will not be able to offer an admission to an applicant. Anyone interested in applying for admission to graduate program in our department is advised to visit the Curriculum and Pedagogy website via the Faculty page to find faculty whose research aligns with their interests. There is a space in the application form for you to list your preferred supervisors.

Apply online

Submit your application online

Complete the online application. To be considered for admission, submit your completed application including all supporting documents, by the deadlines noted below. Note: the online application will be open October 1.

For detailed application process and requirements, click here .

Please follow the instructions on the online application portal.

Early submissions are encouraged.

* The department deadline for receipt of completed, master program applications is December 1. * References are due December 12.

* The department deadline for receipt of completed, doctoral program applications is December 1. * References are due December 7.

Supporting Documents Checklist

Document type

• Scanned copies of all official transcripts and degree certificates (if any). Submit | Online.
• Three letters of recommendation (one of which for doctoral applicant must be from a member of the thesis supervisory committee). Submit | Online.
• CV/resume. Submit | Online.
• Evidence of English language proficiency. Submit | Online.
• Sample of Writing for doctoral applicants (no more than ten pages). Submit | Online.
• Any additional information. Submit | by email attachment to [email protected] .

Upload supporting documents online

Transcripts & Degree Certificates

Applicants will be asked to upload transcripts with their grade key (usually located on the back of the transcript). Even if the applicant does not yet have final marks on the transcript, we still require a copy as evidence of registration and academic progress (we do not accept printed student’s records).

Upload scanned transcripts and degree certificates (if any) online. Please be advised that if you are admitted you will be required to submit original transcripts and degree certificates (if any) in the SEALED and ENDORSED envelopes as soon as possible after admission is offered. Students are not allowed to register in courses until this requirement is met.

Statement of Intent for MA and PhD Applicants

In the application portal, you will be given the opportunity to add a Statement of Intent (maximum 2 pages) describing why you choose to pursue graduate studies at UBC and in which area of research you want to concentrate your work. For more information, click here .

Statement of Intent for MEd Applicants

Please write a summary of your reasons for wishing to enroll in the program of your choice, and what it is that you hope to achieve in completing this program.

Letters of Recommendation

We require three letters of recommendation (one of which for doctoral applicant must be from a member of the thesis supervisory committee). See detailed requirements .

Referees will be able to upload their letters once you have submitted your application, so please ensure that they are able to submit by the deadlines noted above and that you provide them with appropriate timelines.

Submit other supporting documents

Evidence of English Language Proficiency

Applicants from a university outside Canada in which English is not the primary language of instruction must present evidence of competency to pursue studies in the English language prior to the application deadline in December. Test scores must have been taken within the last 24 months at the time of submission of your application, and official test scores ordered from the testing agency is required.

TOEFL minimum scores

Test Format | Minimum Score Internet-based | 92 (minimum 22 on each component) Computer-based | 237 Paper | 580

TOEFL Institution Code: 0965 TOEFL Department Code: 85

Detailed language requirements and other acceptable English proficiency tests

Permanent Residents

Permanent Residents are required to provide proof of immigration status and date of landing by submitting a copy of the Record of Landing Form or a copy of both the front and back of their Permanent Resident card.

Additional Information

You are welcome to submit additional information, regarding professional employment experience, publications, or awards, which you feel should be taken into account in considering your application. These can be sent by email attachment to [email protected] .

Mailing Address

Department of Curriculum & Pedagogy Faculty of Education University of British Columbia Scarfe Building 2125 Main Mall Vancouver BC V6T 1Z4 Canada

Important Numbers

Apply for graduate programs: Alan Jay 604.822.5367 Email: [email protected]

Apply for undergraduate programs: Contact the Teacher Education Office

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Cynthia Nicol

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Mathematics and Statistics (PhD)

Program overview Program structure Admission requirements Application process Tuition & funding

Program overview

By pursuing a PhD at Concordia's Department of Mathematics and Statistics, you will play a critical role in shaping and advancing the mathematical sciences. Working within a strong research group under the supervision of our faculty members, you will investigate questions and gain expertise in some of the discipline’s most vibrant areas of study. Concordia’s association with the ISM ​, the CRM , ​and MITACS opens the door to ​advanced courses at ​other Quebec universities​, and to internships and collaborative projects in Canada and abroad. With a PhD from our Department, you will be ready to pursue a career in academia or apply cutting-edge research to a field of your choice.

Program structure

Degree requirements, degree requirements.

Fully-qualified candidates are required to complete a minimum of 90 credits.

Please see the Mathematics and Statistics Courses page for course descriptions.

Mathematics and Statistics PhD (90 credits)

Mathematics and statistics phd electives and seminars, admission requirements, admission requirements.

• MSc degree, with high standing in Mathematics, Statistics, or an allied discipline from a recognized university.
• Proficiency in English. Applicants whose primary language is not English must demonstrate that their knowledge of English is sufficient to pursue graduate studies in their chosen field. Please refer to the English language proficiency page for further information on requirements and exemptions.

Application process

Application deadlines.

Priority will be given to complete applications submitted by the deadline. In some cases, programs may continue to accept applications as long as there is space available.

International students: Considering the waiting period involved in meeting the entry requirements to Canada and Quebec , we strongly encourage international applicants to apply early and submit supporting documents prior to the deadline.

Tuition & funding

Tuition and fees.

Tuition and fees of the program may depend on your student status, among other key factors. Estimate these costs based on the most common situations.

Awards and funding

Funding packages are generally available for students in thesis-based programs. They come in the form of awards, teaching and research assistantships are offered at the time of admission to most students to allow them to focus on their research and studies. Research and thesis-based students are automatically considered for all entrance graduate awards when they apply to Concordia, provided they meet eligibility criteria. No separate application is required.

The Quebec and Canadian governments offer a number of competitive graduate scholarships. We encourage you to apply for these awards at the same time you are preparing your application.

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The majority of graduate programs are NOT impacted by recent government announcements about tuition increases. PhD students from the rest of Canada will continue to pay Quebec fees. International PhD fees will see the same 3% increase as Quebec fees.

Educational Studies (PhD)

Program description.

The Doctor of Philosophy (Ph.D.) in Educational Studies offered by the Department of Integrated Studies in Education in the Faculty of Education is a research-intensive program that emphasizes challenging and innovative learning opportunities. The program's objective is to equip students with skills in literature synthesis, original thinking, and research dissemination to pursue professional opportunities in academia or industry.

The program may also be taken as one of the following options:

Gender and Women's Studies option : students have the opportunity to pursue course work and research focusing on gender and women’s studies, and issues in feminist research and methods.

Language Acquisition option : provides an overview of the research in second language acquisition, assessment and evaluation, and research methods, including quantitative and qualitative approaches.

Mathematics and Science Education option : emphasizes research in mathematics and science education, including a specific focus on teacher education in the area of math and science.

Keywords: language acquisition, leadership, second language, culture, society, teaching, learning.

Unique Program Features

• Students benefit from an integrative perspective on education by drawing on a range of related disciplines and research orientations;
• The program is designed to ensure relative flexibility, providing opportunities for multidisciplinary research as well as opportunities for research that draws on specific disciplinary strengths.

University-Level Admission Requirements

• An eligible Bachelor's degree with a minimum 3.0 GPA out of a possible 4.0 GPA
• English-language proficiency

Each program has specific admission requirements including required application documents. Please visit the program website for more details.

Visit our Educational credentials and grade equivalencies and English language proficiency webpages for additional information.

Program Website

PhD in Educational Studies website

Department Contact

Graduate Program grad.dise [at] mcgill.ca (subject: PhD%20in%20Educational%20Studies) (email)

Available Intakes

Application deadlines.

Note : Application deadlines are subject to change without notice. Please check the application portal for the most up-to-date information.

Application Resources

• Application Steps webpage
• Submit Your Application webpage
• Connecting with a supervisor webpage
• Graduate Funding webpage

Application Workshops

Consult our full list of our virtual application-focused workshops on the Events webpage.

Department and University Information

Graduate and postdoctoral studies.

Université de Montréal / Faculté des arts et des sciences Département de mathématiques et de statistique

Doctorate in mathematics.

The Department offers a doctoral program in Mathematics (PhD) . A wide variety of advanced courses are offered in pure and applied mathematics. The large number of scientific activities in Montréal and the quality of courses makes our programs among the best in North America.

In general, a Master's degree in mathematics or a related field is required to apply for admission to the doctoral program in mathematics. However, it is possible to pass directly to the PhD program from the undergraduate or master's program without writing a memoire.

• Fall and winter admission
• Limited enrolment
• Daytime classes
• Includes 12 course credits, 78 credits for research and dissertation
• Usually completed over 4 academic years
• Possibility of admission without a Master

Questions about this program?

Robert Gwyn Owens (Program supervisor) : Tél. : 514 343-2315

Marie Lyne Martel (TGDE) : Tel.: 514 343-6686

Prospective students

Program structure (french), practical study guide (french), comprehensive examination, financial support, international students and exchange programs, fast track transfer to doctorate, joint phd program, the + of studying mathematics at the université de montréal.

• Our faculty includes 3 Canada Research Chairs in the fields of number theory, differential geometry and topology, and geometry and spectral theory, as well as prominent figures in other, more applied fields such as mathematical physics, optimization and fluid mechanics.
• An especially rich scientific milieu thanks to the presence in the same building of the Centre de recherches mathématiques , an international hub that organizes theme years, offers a lecture series and hosts a wide variety of visitors and postdoctoral fellows.
• The Séminaire de mathématiques supérieures , an annual summer school, and mathematics seminars given by graduate students , for students.
• Financial support may be available from the Department, the Université de Montréal or various federal and provincial organizations (NSERC, FQRNT, etc.).
• An exciting research setting with more than one hundred experienced researchers.
• Access to a variety of specialized software , including Mathematica, MATLAB, Maple, Sage, GNU Octave, Maxima , and more.
• According to British firm QS, UdeM ranks among the top 100 universities in the world in mathematics.
• The Université de Montréal occupies the 32nd world rank in statistics and operational research in the 2019 rankings of QS.

Informez-vous!

PhD program

Phd degree requirements, requirements:.

• Four  graduate courses , including a breadth requirement . Candidates for the PhD degree must achieve an average grade of at least 70% in their courses. Note: students who transfer directly into the PhD program (without completing the Master's degree), must take a total of eight courses .
• Comprehensive examination
• Lecturing requirement

Course restriction: Students may not count more than one graduate course that is cross-listed with an undergraduate course for credit towards their PhD degree. This restriction applies to all 600-level AMATH courses and any cross-listed courses offered by other departments. Note: students who transfer directly into the PhD program (without completing the Master's degree) may take up to two cross-listed courses.

Selection of courses:  Courses are selected in consultation with the student's supervisor. Beyond the breadth requirement, there are no other constraints on course selection. We encourage students to select courses that will help them develop a broad knowledge of Mathematics and its applications: appropriate courses are often offered by other departments in the Faculties of Mathematics, Science and Engineering.

Advisory committee: The program of studies of a PhD student is directed by a PhD advisory committee consisting of the supervisor(s) and two other faculty members. This committee should be approved (by the graduate officer) within three terms of enrolment . At least one of the two other members should be from (or cross-appointed to) the Department, and it is recommended that one of the members be from outside the research group of the supervisor(s).

Pre-comprehensive seminar: During the third term of enrollment, the candidate will give a 30-minute pre-comprehensive seminar on the proposed research area, emphasizing background material. Shortly thereafter the advisory committee shall decide on the background topics that will comprise the candidate's comprehensive exam. These topics are normally chosen to extend beyond the specific research project. This material should be at the level of a 400-700 course, but need not correspond to a specific course. The list of topics (and corresponding examiners) should be submitted to the graduate coordinator not more than two weeks after the pre-comprehensive seminar. Once approved by the graduate officer, the list will be provided to the student. Comprehensive examination: The comprehensive examination is to be completed by the end of the student’s fifth term. The candidate will prepare a written research proposal (approximately 25 pages) that will be submitted to the members of the advisory committee and the examination chair (normally the graduate officer) at least two weeks prior to the comprehensive examination. The proposal should describe the research problem, together with motivation, literature review, an indication of methodology, any progress made to date, and a research plan with timeline. Shortly before the comprehensive examination, the examination chair (through the graduate coordinator) will consult with the advisory committee to determine whether the committee wishes the exam to proceed and, if so, whether the committee wishes to meet to discuss the questions to be asked on background material. Each committee member will provide a typeset list of questions to the graduate coordinator four business days before the exam (about 3-5 questions, which can all be answered at a whiteboard in about 15 minutes). This list of questions will be provided to the candidate one hour prior to the start of the exam. The candidate will use this time to prepare answers, with no access to outside materials. The examination will consist of a 20 minute presentation of the proposed research followed by two rounds of questions: the first on the prepared background questions, the second on the research proposal and the relevant literature. Each examiner shall question the candidate for approximately 15 minutes in each round. If there is more than one supervisor, they will share the allotted 15 minute time-slot. The comprehensive examination should normally be completed in two hours, after which the committee will consider the student’s progress to date, the proposal, and the student’s performance in the exam. They will then make one of the following assessments: pass (possibly contingent on some further action, such as completing a specific course); re-examination on background and/or proposal; or fail. Students who have not satisfactorily completed the comprehensive examination by the end of the fifth term will have their progress reviewed by the departmental graduate committee. PhD Thesis:  A PhD thesis contains original results that warrant publication in the research literature. Indeed, candidates are encouraged to publish papers based on their research before submitting their theses. Moreover, the Department expects a PhD thesis to be a scholarly work that is broad in scope. As such, it should contain a discussion of the history of the research problem and an analysis of the relevant literature. For University guidelines on co-authored material in PhD theses please visit the Graduate Studies and Postdoctoral Affairs (GSPA) website; additional departmental guidelines  apply.  

The candidate shall defend the thesis in an oral examination before an  examining committee , which shall consist of at least 5 voting members (External Examiner, Supervisor(s), Internal Member (from home department), Internal-external member (external to home department) and one other member). In the case that there is more than one supervisor, the co-supervisors shall count as one voting member. The external examiner should be familiar with the student's research field. 

For submission deadlines please consult the Math Graduate Office website. PhD thesis defence requirements and external examiner criteria can be found on the Graduate Studies website . 

Lecturing: This requirement is normally met by teaching a one-term undergraduate course, usually at the first or second year level, under the supervision of a faculty member. Students will satisfy this requirement after completing the comprehensive examination and after obtaining experience as a teaching assistant. If the department is unable to provide the student with a suitable undergraduate course to teach, the requirement may be met by giving a series of lectures of an introductory nature concerning the student's field of research. The University's Centre for Teaching Excellence provides support for all aspects of university teaching.

For more resources for graduate students, please visit the  Math Graduate Office  website.

Detailed descriptions of the following programs can be found in the  Graduate Studies Academic Calendar :

• MMath Applied Mathematics
• MMath Applied Mathematics (Quantum Information)
• MMath Applied Mathematics (Water)
• PhD Applied Mathematics
• PhD Applied Mathematics (Quantum Information)
• PhD Applied Mathematics (Water)

Contact Info

Department of Applied Mathematics University of Waterloo Waterloo, Ontario Canada N2L 3G1 Phone: 519-888-4567, ext. 32700 Fax: 519-746-4319

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The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is co-ordinated within the Office of Indigenous Relations .

Mathematics (PhD)

Your PhD will represent a significant achievement in mathematics. You’ll receive mentorship from our faculty as you undertake coursework and prepare for candidacy exams. You’ll advance the field of mathematics and finish your PhD with an original, publishable dissertation.

Quick facts

Graduates with a PhD in Mathematics will be able to:

• meet the universal need for graduates with strong analytical and problem-solving skills
• apply problem-solving skills in a variety of settings
• develop predictive models in areas related to climate change, epidemiology, etc.
• apply their skills to study and model risk and analyze related data for insurance companies
• study and predict the sales of products and services as a market analyst or researcher
• pursue a career in academia
• conduct research to extend mathematical knowledge in areas of mathematics such as algebra, geometry, combinatorics, probability and logic

Find a supervisor

All graduate students have a faculty member who serves as their academic supervisor. You do not need to find your own supervisor, but will be allocated one when you are accepted into the program.

It may improve your chances of being accepted to contact potential supervisors in advance to introduce yourself, explain your interests and determine whether they will be accepting new students in the near future.

To find a supervisor, review the faculty contacts. When you have found a faculty member whose research complements your own, contact them by email.

Show me program details

Providing you accurate admission requirements, application deadlines, tuition fee estimates and scholarships depends on your situation. Tell us about yourself:

I am a Canadian citizen or permanent resident International student

Show program details

Your program details

Application deadlines.

September – May 31 January – September 30

If you are seeking funding, you must submit your application earlier:

September – January 31 January – May 31

Admission requirements

Program specific requirements.

You must hold a master’s degree (or equivalent) in mathematics or statistics.

As part of your application, you must submit:

• a personal statement
• a current résumé
• two reference names and their email addresses
• post-secondary transcripts

You may submit other supporting material, such as certificates, academic papers or your master’s thesis.

You must display excellent research potential, which can be demonstrated in your master’s thesis or in your letters of recommendation.

When you apply, make sure you indicate whether you are interested in pure, discrete or applied mathematics.

We strongly encourage you to submit your scores in the Graduate Record Examination (GRE) and its Mathematics Subject Test .

Completion requirements

View the minimum course requirements for this program.

Funding & aid

Tuition & fees.

Estimated minimum program cost*

* Based on an average program length. For a per term fee breakdown view the tuition fee estimator .

Estimated values determined by the tuition fee estimator shall not be binding to the University of Victoria.

Ready to apply?

You can start your online application to UVic by creating a new profile or using an existing one.

Apply now     How to apply

Faculties & departments

• Faculty of Science
• Mathematics and Statistics

Related programs

• Mathematics (MA)
• Mathematics (MSc)
• Statistics (MA)
• Statistics (MSc)
• Statistics (PhD)

Contact Madeline Smith at [email protected] or 250-721-7468 .

< Back to Mathematics and Statistics overview

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Mathematics and Statistics

Why mathematics and statistics @ memorial.

Memorial’s Department of Mathematics and Statistics is one of the institution’s youngest – half our faculty have been hired since 2005 – and most recognized – 20% of us hold the university's highest rank, University Research Professor. Although the Department of Mathematics and Statistics has offered graduate degrees for many years, the past decade has seen an explosion of interest in these programs, adding invaluable new voices to the Department's community of researchers.

Among the research areas studied by our faculty and graduate students are the following: Numerical Analysis and Scientific Computation, Analysis, Combinatorics, Topology, Applied Statistics, Differential Equations and Dynamical Systems, Mathematical Models and Modeling / Numerical Optimization, Algebra, Mathematical Physics, Mathematical Statistics, and Fluid Mechanics.

Description of programs

• MAS -The Master of Applied Statistics is a highly structured program incorporating both courses and an applied statistics project. A full-time student normally requires one year to complete the degree requirements. This program accepts new students only in the Fall semester.
• MSc – The Master of Science is available in Mathematics or Statistics. This program accepts new students only in the Fall semester.
• The Mathematics program has two options. The research-based program consists of graduate courses and a thesis. A full-time student is expected to complete the degree requirements in two years. The course-based program is an intensive three semester (one-year) program based on graduate courses and a project.
• The Statistics program consists of graduate courses and a thesis. Full-time students should complete the degree requirements within two years.
• PhD – The PhD programs in Mathematics and in Statistics consist of graduate courses, a two-part comprehensive examination, and a thesis embodying the results of original research of a high calibre. Students are expected to complete the PhD degree requirements in three to four years. Upon completion of the thesis, a final oral examination and defence of thesis must take place.

Contact a faculty supervisor

Graduate applicants interested in research-based programs are strongly encouraged to connect with a faculty supervisor at the time of application. Visit the Department of Mathematics and Statistics website for areas for a list of faculty members, their research interests, and contact information. You may also use the Yaffle search application to find a supervisor you may wish to work with.

The School of Graduate Studies offers advice on how to search for and contact potential supervisors . Need more help? Try attending one of our webinars and information sessions for prospective graduate students.

Minimum admission requirements

• MAS – Bachelor's degree (minimum second class honours) in Statistics or equivalent with courses in the following areas: statistical inference, experimental design, regression, computational statistics, and survey sampling 
• MSc – Bachelor's degree (minimum second class) in an appropriate area of study
• PhD – Master’s degree in an appropriate area of study

  Note: All figures are in Canadian dollars and subject to change. Fees are approved by the University’s Board of Regents. In the event of a discrepancy between the fees approved by the Board and those published on this website, the fees approved by the Board will prevail. Financial policies are enforced through the Department of Financial and Administrative Services. For the complete and official list of all fees and charges, visit www.mun.ca/finance/fees/ .

Program Information

Degrees offered:.

MAS, MSc, PhD

course, thesis

Duration (Full-time students):

MAS: 1 year MSc: 1-2 years PhD: 4 years

Application Deadline:

January 31 for Fall admission (all programs)

August 31 for Winter admission (available for PhD only)

MSc: $12,925 PhD: $14,925

More funding information

Tuition (NL students):

MAS, MSc: $635-$1,313/semester PhD: $888/semester

Tuition (Other Canadian students):

MAS, MSc: $826-$1,707/semester PhD: $1,154/semester

Tuition (International students):

MAS, MSc: $1,074-$2,218/semester PhD: $1,499/semester

More tuition information

• Humanities and Social Sciences
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• Professional Programs

Related Content

• Master of Education in Mathematics Education (MEd)
• Graduate School
• Prospective Students
• Graduate Degree Programs

Canadian Immigration Updates

Applicants to Master’s and Doctoral degrees are not affected by the recently announced cap on study permits. Review more details

Go to programs search

The graduate program (MEd) in Mathematics Education is part or the graduate offerings in the Department of Curriculum and Pedagogy. Students can pursue a wide variety of research and professional interests in mathematics teaching and learning. The math education program has a legacy of large-scale research projects, such as the Early Numeracy Project and the Trends in International Mathematics and Science Study (TIMMS), which involve a network of regional, national, and international scholars.

For specific program requirements, please refer to the departmental program website

Quick Facts

Program enquiries, admission information & requirements, program instructions.

Normally two years teaching experience or other relevant professional experience.

1) Check Eligibility

Minimum academic requirements.

The Faculty of Graduate and Postdoctoral Studies establishes the minimum admission requirements common to all applicants, usually a minimum overall average in the B+ range (76% at UBC). The graduate program that you are applying to may have additional requirements. Please review the specific requirements for applicants with credentials from institutions in:

• Canada or the United States
• International countries other than the United States

Each program may set higher academic minimum requirements. Please review the program website carefully to understand the program requirements. Meeting the minimum requirements does not guarantee admission as it is a competitive process.

English Language Test

Applicants from a university outside Canada in which English is not the primary language of instruction must provide results of an English language proficiency examination as part of their application. Tests must have been taken within the last 24 months at the time of submission of your application.

Minimum requirements for the two most common English language proficiency tests to apply to this program are listed below:

TOEFL: Test of English as a Foreign Language - internet-based

Overall score requirement : 92

IELTS: International English Language Testing System

Overall score requirement : 6.5

Other Test Scores

Some programs require additional test scores such as the Graduate Record Examination (GRE) or the Graduate Management Test (GMAT). The requirements for this program are:

The GRE is not required.

Prior degree, course and other requirements

Prior degree requirements.

One to two years’ of teacher education; or a four-year Bachelor’s degree in Education. In special circumstances teacher education may be waived for those applicants who have a university degree with sufficient standing and experience related to their proposed field of study.

Course Requirements

Normally 18 credits of senior course work or a professional concentration in the area of interest.

Document Requirements

A resume or CV and a statement of intent clearly outlining the area of interest and focus for study. Applicants are encouraged to discuss their plans with a Department member before applying.

2) Meet Deadlines

3) prepare application, transcripts.

All applicants have to submit transcripts from all past post-secondary study. Document submission requirements depend on whether your institution of study is within Canada or outside of Canada.

Letters of Reference

A minimum of three references are required for application to graduate programs at UBC. References should be requested from individuals who are prepared to provide a report on your academic ability and qualifications.

Statement of Interest

Many programs require a statement of interest , sometimes called a "statement of intent", "description of research interests" or something similar.

Supervision

Course-based programs do not have a thesis component. While they may assign academic advisors to students, they do not require applicants to reach out to individual professors / faculty members to seek commitment as their thesis supervisor. Please do not contact faculty members for the purposes of thesis supervision if you are applying to this program.

Citizenship Verification

Permanent Residents of Canada must provide a clear photocopy of both sides of the Permanent Resident card.

4) Apply Online

All applicants must complete an online application form and pay the application fee to be considered for admission to UBC.

Tuition & Financial Support

Financial support.

Applicants to UBC have access to a variety of funding options.

Employer support

Organizations may provide their employees with tuition benefits as part of an employment package to support lifelong learning of their workforce.

Scholarships & awards (merit-based funding)

Professional / course-based programs usually do not provide merit-based funding. Some programs may offer bursaries.

Financial aid (need-based funding)

Canadian and US applicants may qualify for governmental loans to finance their studies. Please review eligibility and types of loans .

All students may be able to access private sector or bank loans.

Foreign government scholarships

Many foreign governments provide support to their citizens in pursuing education abroad. International applicants should check the various governmental resources in their home country, such as the Department of Education, for available scholarships.

Working while studying

The possibility to pursue work to supplement income may depend on the demands the program has on students. It should be carefully weighed if work leads to prolonged program durations or whether work placements can be meaningfully embedded into a program.

International students enrolled as full-time students with a valid study permit can work on campus for unlimited hours and work off-campus for no more than 20 hours a week.

A good starting point to explore student jobs is the UBC Work Learn program or a Co-Op placement .

Tax credits and RRSP withdrawals

Students with taxable income in Canada may be able to claim federal or provincial tax credits.

Canadian residents with RRSP accounts may be able to use the Lifelong Learning Plan (LLP) which allows students to withdraw amounts from their registered retirement savings plan (RRSPs) to finance full-time training or education for themselves or their partner.

Please review Filing taxes in Canada on the student services website for more information.

Cost Estimator

Applicants have access to the cost estimator to develop a financial plan that takes into account various income sources and expenses.

Enrolment, Duration & Other Stats

These statistics show data for the Master of Education in Mathematics Education (MEd). Data are separated for each degree program combination. You may view data for other degree options in the respective program profile.

ENROLMENT DATA

Completion rates & times, related programs, same specialization.

• Master of Arts in Mathematics Education (MA)

Same Academic Unit

• Doctor of Philosophy in Curriculum Studies (PhD)
• Master of Arts in Art Education (MA)
• Master of Arts in Curriculum Studies (MA)
• Master of Arts in Health, Outdoor and Physical Education (MA)
• Master of Arts in Home Economics Education (MA)
• Master of Arts in Media and Technology Studies Education (MA)
• Master of Arts in Music Education (MA)
• Master of Arts in Science Education (MA)
• Master of Arts in Social Studies Education (MA)
• Master of Education in Art Education (MEd)
• Master of Education in Curriculum Studies (MEd)
• Master of Education in Health, Outdoor and Physical Education (MEd)
• Master of Education in Home Economics Education (MEd)
• Master of Education in Media and Technology Studies Education (MEd)
• Master of Education in Music Education (MEd)
• Master of Education in Science Education (MEd)
• Master of Education in Social Studies Education (MEd)
• Master of Museum Education (MMEd)

Further Information

Specialization.

Mathematics Education offer students opportunities to pursue a wide range of research and professional interests in the areas of mathematics education, including teacher education, learning and teaching at elementary, secondary, and post-secondary levels and in diverse contexts such as community gardens, cultural spaces, artist performances, and family settings.

UBC Calendar

Program website, faculty overview, academic unit, program identifier, classification.

Departments/Programs may update graduate degree program details through the Faculty & Staff portal. To update contact details for application inquiries, please use this form .

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Take a break from studying with opportunities at your fingertips. Whether you want to settle down in a café or take your research outdoors, we have a place for you.

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PhD Admission Information

Phd admission requirements  , previous degree.

Applicants to the Ph.D. program must have an appropriate University of Toronto Master's degree, or its equivalent, with an average of at least A-, or demonstrated comparable research competence. (Direct entry from the bachelor's to the Ph.D. is possible for some eminently qualified applicants - optional). All applicants must satisfy the admission requirements of the Department, which will take into account the background and accomplishments of the student as well as their academic achievements.

If you are an international applicant, please review the  International Degree Equivalency  chart. This chart will help you determine if your international degree is considered equivalent. Qualifications from a number of educational systems around the world are listed and the academic standings indicated are normally accepted as equivalent to a University of Toronto mid-B grade average if the degree obtained has been awarded from an institution which is recognized by the School of Graduate Studies.

Admission Deadline

The admission deadline for our MSc program is  December 4, 2020 . The deadline for supporting documents is  December 11, 2020*.

*NOTE: The  December 11  deadline is for outstanding supporting documents only. Students must complete and submit their online application by  December 4  to be considered for the program.

Online Application Form

You must submit an  online application form , complete application materials and the non-refundable application fee by the deadline of  December 4, 2020 .

Statement of Intent

A letter of intent or personal statement to be up-loaded on the on-line application form. The statement of intent is an opportunity for the applicant to write about any activities or experience that may be relevant to their graduate studies and to discuss areas of academic and research interest. Applicants are also encouraged to mention faculty members whose research programs are compatible with their own interests.

Transcripts

Electronic copies of transcripts are required at the time you apply online. Only if you are successful at gaining admissions will we require official copies to be mailed to the department.

Letters of Recommendations & Curriculum Vitae (CV)

Letters of Reccomendation

• At least THREE supporting letters of reference are required. Referees are automatically contacted via e-mail when you submit their name and contact info on the on-line application form. Letters of reference will be part of the official student academic record; they are confidential and applicants/students will not have access to them. Please note there are no reference forms.

Cirriculum Vitae 

•  A curriculum vitae must also be uploaded on the on-line application form.

Graduate Record Examination (GRE)

Graduate Record Examination (GRE)  testing is not required by the Department of Mathematics. Students are not required to submit GRE testing to apply to our program. 

English Proficiency Score

It is essential that all incoming graduate students have a good command of English. Facility in the English language must be demonstrated by all applicants educated outside Canada whose primary language is not English. This requirement is a condition of admission and should be met before application. For more information, please go to  http://www.sgs.utoronto.ca/prospectivestudents/Pages/English-Language-Proficiency-Testing.aspx

Application Fee

There is a CDN $125.00 application fee. This fee is non-refundable and non-transferable. Please read through the entire list of requirements before advancing to the application procedures and  submit only one application .

For more information on application fees, please visit the  School of Graduate Studies .

Any parts of your application that need to be mailed to the department should be sent to: 

Graduate Office Department of Mathematics University of Toronto Bahen Centre for Information Technology, Room 6166  40 St. George Street Toronto, Ontario, Canada M5S 2E4 Telephone: (416) 978-7894 Fax: (416) 978-4107

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Graduate Admissions

Mathematics education.

Diploma programs are open to students in any relevant graduate program or to those who have a general interest in graduate-level work. For diplomas that are part of a graduate degree (concurrent), please contact the relevant graduate program office in Education . For graduate diplomas that can be pursued on their own (stand-alone, direct entry), applications are submitted online .

The Graduate Diploma in Mathematics Education focuses on mathematics education as an area of study grounded in critical examination of teaching practice, learning theories and curriculum, and supported by analyses of socio-cultural, equity and gender issues in the teaching and learning of mathematics. It is designed to provide opportunities for graduate level study of theories and research in Mathematics Education, as well as enriched mathematical experiences, to practising teachers and administrators and to people in the community whose work involves developing mathematical literacies.

The Graduate Diploma in Mathematics Education is jointly offered by the Graduate Program in Education . It is available as an area of concentration within Masters and Doctoral degrees (Degree Concurrent option) and as a stand-alone Graduate Diploma (Direct Entry option). Concurrent diploma candidates must apply to and be accepted as graduate students in the Faculty of Education Graduate Program in  Education: Language, Culture and Teaching . Those who are applying for the direct-entry diploma must apply to the specific diploma in the Faculty of Education's Graduate Program.

Who can complete this Graduate Diploma? Graduate students who are currently enrolled in the Graduate Program in Education’s MEd or PhD who are interested in completing the Graduate Diploma concurrently

* New part-time students who have been accepted to take the Graduate Diploma as a stand-alone program through the Graduate Program in Education

Option A - Concurrent: The Graduate Diploma in Mathematics Education is offered by the Graduate Program in Education as an area of concentration within Masters and Doctoral degrees. Applicants must be accepted as MEd or PhD graduate students in the Faculty of Education’s Graduate Program in Education: Language, Culture and Teaching.

NOTE: When applying to the concurrent option, applicants ONLY need to apply to the MEd or PhD program in Education; applicants do not need to submit a separate application for the Diploma.

Option B – Direct-Entry: Students can take a stand-alone, part-time direct entry Graduate Diploma, which is offered only within the Graduate Program in Education. The diploma is designed to provide opportunities for graduate level study of theory and research in Mathematics Education to practising teachers and school administrators, to people working in community organizations and cultural institutions, and to advocacy groups.

The direct-entry stand-alone diploma option is ONLY available on a part-time basis.

When applying to the direct-entry stand-alone Graduate Diploma, please note that application requirements are the same as for the part-time Master of Education (MEd) program.

Please note that graduate diplomas do not certify students in a particular field.

Quick Links

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Ways to connect with the Faculty of Graduate Studies and Program Supports

Have a program-related question.

Contact the graduate program assistant: yorku.ca/gradstudies/program-contacts/

Have an admission related question? Contact the Graduate Admissions Team

By phone: 416-872-9675

By email:   [email protected]

Upcoming graduate webinars/in-person events for Future Students: futurestudents.yorku.ca/events/graduate

York University Office of Admissions Bennett Centre for Student Services 99 Ian Macdonald Blvd Toronto, ON M3J 1P3 CANADA 

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Mathematical and Statistical Modelling (PhD)

Mathematical and statistical modelling is essential in a wide range of industries. New types of highly qualified specialists are needed to develop, analyze and apply modern quantitative approaches to a variety of issues of high complexity. Our interdisciplinary PhD program will help you become an independent researcher capable of succeeding in careers in research, industry, teaching, or government.

Interdisciplinary approach with critical areas of application.

Projects tackle ongoing scientific questions.

Guided by professors with national and international reputations.

Program Details

Laurier’s PhD in Mathematical and Statistical Modelling is an interdisciplinary program with strength in complex systems modelling, financial mathematics and statistics. The program is lead by faculty with national and international reputations in a diverse set of cross-disciplinary research.

In this program you will:

• Develop expertise in using the tools of mathematical and statistical modelling;
• Contribute in creative and innovative ways to solving complex interdisciplinary problems;
• Carry out independent research; and
• Learn to communicate effectively with researchers in other disciplines.

This full-time program is to be completed in four years. Students engage in a specific area of research under the supervision of one or more faculty members . 

Students start working on a research project in year one to become familiar with the area of research and develop a research proposal by year two. Typically, students complete two terms of coursework, followed by a comprehensive examination.

All students must attend an Interdisciplinary Seminar in Applied Modelling and participate in a Research Modelling Symposium.

Students perform research on problems that come from diverse application domains. The unifying theme is that mathematical and statistical modelling is used as a fundamental tool to inform their work.

The main research domains are:

• Financial Mathematics
• Complex Systems Modelling
• Statistics and Data Analysis

Students may work on research that spans more than one domain.

"Immerse yourself in all Laurier has to offer while completing your graduate education. Enjoy the journey – remember to have fun too!"

Paula C. Fletcher, associate dean, Faculty of Graduate and Postdoctoral Studies

Take the first step in your graduate education and apply to one of our graduate programs. Follow our three-step admission process — we’ll walk you through how to apply and prepare for your first day as a graduate student.

• Start: Fall (September) or Winter (January)
• Format: Full-time or part-time
• January intake: Sept. 1 (international applicants) or Nov. 16 (domestic applicants)
• September intake: May 1 (international applicants) or Aug. 16 (domestic applicants)
• January intake: Aug. 31 (international applicants) or Nov. 15 (domestic applicants)
• September intake:  Jan. 15 (first consideration), March 30 (international applicants) or Aug. 15 (domestic applicants)

Admission Requirements

• A master’s degree in mathematics, statistics, computer science or engineering with a minimum A- standing.
• It is essential to contact a prospective advisor prior to submitting your application.

Application Checklist

After you have submitted you OUAC application , paid the non-refundable application fee, and Laurier has received your application, you'll receive an email from [email protected] advising you to upload the additional required documentation to Laurier’s Online Registration and Information System (LORIS) .

Please note, the application process and the uploading of supplemental documentation, which includes references, typically takes two weeks. To avoid disappointment, please apply early.

An application for admission to our PhD program in Mathematical and Statistical Modelling must include:

• The Application Summary, which is generated after you complete your OUAC application (log back in to OUAC to retrieve it).
• Transcripts of all undergraduate and graduate work. Documents must be dated within the past six months.
• A completed statement of intent .
• A resume of your academic and work experience. Include a history of your publication and scholarly paper activity and any other information you feel will interest the admissions committee.
• A sample of your scholarly writing (10-20 pages in length). This may be a chapter of your master's thesis or a paper written for a graduate course.
• Completed reference forms . Two academic references are required. Note: Reference forms are electronically submitted to Laurier by the referee and do not need to be uploaded.

Visit our Graduate Admissions Toolkit for more information about applying.

English Proficiency

Proficiency in written and spoken English is essential to graduate studies at Laurier. Applicants whose language of instruction during their previous postsecondary education was not in English must submit evidence of proficiency in English. If applicable, results from accepted testing services must be uploaded to  LORIS .

Your Next Steps

Questions? Contact David Soave, graduate academic coordinator, at [email protected] or 548.889.3745.

Waterloo Campus

This program is available on Laurier's Waterloo campus.

Laurier's Waterloo campus is home to more than 19,000 graduate and undergraduate students. Tucked into several city blocks, this campus is walking distance to your classrooms, food, and various campus amenities.

Laurier is a leading force in research among Canadian universities, and many of our research centres and institutes are housed in Waterloo.

Learn more about Laurier's campuses .

Tuition and Funding

Regardless of the type of graduate degree program you intend to pursue, financial planning is important. At Laurier, we want to provide you with as much information as possible about a variety of scholarship and funding opportunities and equip you with the skills to manage your finances effectively in the years to come.

Graduate Tuition and Funding

"With contributions from several university-based partners, ASPIRE provides graduate students and postdoctoral researchers with informative, hands-on professional skills training essential for degree and post-degree success."

Brent Wolfe , Associate Vice-President and Dean, Faculty of Graduate and Postdoctoral Studies

Your Path to Post-Degree Success

ASPIRE is Laurier's professional skills development training program for graduate students.

The program helps you craft an individualized, extracurricular learning plan tailored to your professional journey and entry to the workplace .

In most cases, a student in this program working on a specific application-oriented project will have two co-supervisors, one with expertise in mathematical and statistical sciences and the other with specialized expertise in the project-specific domain application involving modelling.

Devan Becker Assistant Professor

• Bayesian statistics
• Spatial statistics
• Unsupervised machine learning

Phelim Boyle Professor

• Hedge funds
• Structured products
• Investments
• Ponzi schemes

Kathie Cameron Professor

• Graph algorithms
• Polytime combinatorial optimization
• Graph theory

Giuseppe (Joe) Campolieti Associate Professor

• Applied mathematics
• Mathematical finance and physics
• Pricing and hedging of financial derivatives; option pricing and model calibration
• Path-integral methods; simulation (Monte Carlo) methods

Wing Chan Associate Professor

• Econometrics
• Derivatives
• Risk management
• Asset pricing models

Yuming Chen Professor

• Dynamical systems
• Functional differential equations
• Mathematical biology

Ross Cressman Professor Emeritus

• Game theory
• Rational behaviour

Maria Gallego Associate Professor

• Public economics
• Political economy
• Legislative bargaining

Shohini Ghose Professor

• Quantum computing
• Quantum communication
• Classical and quantum chaos
• Equity, diversity and inclusion in science

Angèle Foley Professor

• Combinatorics
• Optimization

Ian Hamilton Professor

• Gold nanostructures and semiconductor nanocrystals
• Quantum and classical mechanics
• Chemical bonding and reactivity

Chin Hoang Professor

• Theoretical computer science
• Discrete mathematics

Shengda Hu Associate Professor

• Algebraic geometry
• Symplectic topology
• Generalized geometry

Sapna Isotupa Professor

• Inventory control
• Queueing systems
• Workforce management

Madhu Kalimipalli Professor

• Modeling Volatility
• Bond markets
• Market microstructure

Alexei Kaltchenko Associate Professor

• Information theory
• Quantum information theory and quantum computing
• Data compression

Marc Kilgour Professor

• Multiple-person, multiple-objective decision analysis including game theory
• Multiple-criteria decision analysis
• International strategy
• Environment management

Ilias Kotsireas Professor

• Symbolic computation
• Combinatorial designs
• High-performance computing

Y. George Lai Professor

• Computational finance/Monte Carlo and quasi-Monte Carlo methods and applications
• Stochastic analysis with applications in finance and insurance
• Portfolio optimization

Roman Makarov Associate Professor

• Mathematical finance
• Statistical theory and modelling
• Numerical analysis

Philip Marsh Professor

• Cold regions hydrology
• Snow and permafrost hydrology
• Climate change and hydrologic modelling
• Hydrology of Arctic deltas

David Soave Assistant Professor

• Statistical genetics
• Predictive modelling for health outcomes
• Design and analysis of two-phase studies

Connell McCluskey Professor

• Mathematical epidemiology
• Lyapunov methods
• Global stability

Roderick Melnik Professor

• Mathematical modelling in Applied Sciences and Technologies
• Applied and Computational Mathematics
• Low dimensional nanostructures and coupled models
• Partial differential equations and numerical methods

Adam Metzler Associate Professor

• Applied probability
• Quantitative finance
• Credit risk

Gabriel Moreno-Hagelsieb Professor

• Metagenomics
• gene regulation in prokaryotes
• functional/comparative genomics

Michael Pavlin Associate Professor

• Business analytics
• Pricing and contract theory
• Structural econometrics
• Energy markets, services, healthcare

Stephen Perry Professor

• Biomechanics
• Neurophysiology
• Dynamic Balance Control
• Footwear and Orthotics

R. Mark Reesor Associate Professor

• Applied probability and statistics
• Risk measurement and management

Steven Roberts Associate Professor

• Geo-computation
• Optimization for spatial problems
• Spatial analysis

Colin Robertson Associate Professor

• Spatial-temporal analysis
• Spatial modelling at the animal/human health interface
• Citizen science
• Landscape scale spatial pattern analysis

Manuele Santoprete Associate Professor

• Celestial mechanics
• Chaotic dynamics
• Geometric mechanics

Ketan Shankardass Associate Professor

• Health equity
• Social epidemiology
• Chronic stress
• Environmental health

Andriy Shkilko Associate Professor

• Equity and option market structure
• Market regulation
• High-frequency and algorithmic trading
• Short selling

Cristina Stoica Professor

• Mathematics of classical mechanics, n-body problems in particular
• Continuous and discrete symmetries in dynamics
• Data science, in particular functional and shape data analysis

Xu (Sunny) Wang Associate Professor

• Statistical learning and data mining in drug discovery
• Mining business and economic data
• Applied statistics
• Industrial statistics

Marek Wartak Professor

• Simulations of photonic devices
• Computational photonics

Zilin Wang Associate Professor

• Survey sampling theory
• Resampling techniques
• Multilevel models
• Nonparametric regression techniques

Chester Weatherby Assistant Professor

• Number theory
• Transcendence/algebraic independence
• Baker’s theory on linear forms in logarithms
• Special values

Kaiming Zhao Professor

• Lie algebras
• Representation theory
• Division algebra and linear algebra

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Doctor of Philosophy in Mathematics - Scientific Computing

Vancouver , Canada

THE world university rank:  41

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Doctor of Philosophy in Mathematical and Statistical Modelling

Waterloo , Canada

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Calgary , Canada

THE world university rank:  201

AUD 73,802 ? CAD  67,260 Program fees are indicative only. Speak to your IDP study counsellor to get up-to-date course prices.

Doctor of Philosophy in Mathematics - History of Mathematics

Burnaby , Canada

THE world university rank:  251

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