Studying Mathematics and Statistics in Canada

Mathematics or statistics: start with what you want to explore in depth

When choosing, do not start solely with an occupation such as “data scientist” or “financial analyst.” Instead, examine the activities that appeal to you: constructing a proof, studying probability, developing a statistical method or applying a model to data.

Toronto’s Probability/Statistics Specialist shows that these dimensions can come together within a single program. Its requirements include analysis and proofs, algebra, differential equations, programming, probability, statistics and data analysis. Mathematical training and applications should therefore not automatically be seen as opposites.

Use these guidelines when reviewing a program’s course requirements:

This table is a comparison tool, not a ranking of disciplines. If you are still undecided, compare the required courses before the most appealing electives: they describe what you will actually study.

Major, Specialist and honours: understanding the degree structure

These terms should not be interpreted as though they mean the same thing everywhere. Honours is not necessarily just a designation added to a degree based on final results. In UBC’s BSc, it is a program structure with progression requirements.

UBC’s general regulations set a minimum cumulative average of 76% for honours, among other requirements. Departments also impose their own entry and continuation requirements, which are sometimes higher. A Combined Honours brings together two fields within one specialization: it does not constitute two degrees.

At Toronto, the program presented here is a Specialist leading to the HBSc. At McGill, the selected major belongs to the Desautels BCom. You therefore need to read the name of the specialization together with the degree in which it is offered. These examples do not establish a national hierarchy between major, Specialist and honours, nor do they allow the rules of one university to be applied to another.

Universities and programs

The following four examples illustrate different program structures. They are neither a ranking nor an exhaustive list of Canadian programs.

Pay attention to campuses: the Toronto example concerns St. George, and the UBC example concerns Vancouver. Their characteristics should not be attributed to other campuses. A program’s presence in the calendar also does not confirm that admissions are open for every intake.

Towards data science: looking beyond the word “data”

If you are planning to pursue data science, ask what role programming and modelling play, and how they connect with statistics. In its description of data scientists, the National Occupational Classification usually lists a master’s or doctoral degree in a relevant quantitative field, along with experience in programming, statistical modelling and machine learning.

This information comes from NOC 2021, Version 1.0: it is neither a survey of hiring in 2026 nor a rule applicable to every data analyst position. It nevertheless suggests that you should not assume a single computer science course will be enough to prepare you for every data-related occupation.

To distinguish between your options, look for opportunities to work with data, document a method and explain its limitations. Also examine ethics instruction: Toronto’s Specialist includes an ethical and social responsibility component. The quality of a program is therefore not measured solely by the technical sophistication of its models.

Quantitative finance and actuarial science: distinguishing your goals

Do you want to study mathematics within a management program, or explore mathematical finance in greater depth after an undergraduate degree? McGill’s BCom and Alberta’s specialized master’s illustrate these two starting points. They are not interchangeable and do not guarantee access to a particular job.

At McGill, choosing the major requires consultation with the department and a BCom adviser. The Desautels page notes possible overlaps between statistics courses: building a coherent program therefore requires examining equivalencies and requirements, rather than simply adding quantitative courses together.

Actuarial science requires a separate check. A general mathematics or statistics degree does not automatically confer an actuarial designation. In the accredited university pathway presented by the Canadian Institute of Actuaries, recognized courses are supplemented by Institute requirements, including modules and a capstone examination. None of the four examples presented here should be considered accredited in actuarial science on the basis of this article alone.

Research: planning ahead for graduate studies

NOC 2021 indicates that a graduate degree is usually required for mathematicians and statisticians. This does not mean that every mathematics student must prepare for a doctorate, or that an advanced degree guarantees a research position.

If this path appeals to you, compare master’s programs according to the work expected, the research groups’ areas of focus and the supervision arrangements. At Alberta, a thesis-based master’s centres on research work: it is not simply an accumulation of courses. Ask how the topic is defined and how progress is assessed.

Treat funding as a separate question. The department presents support opportunities for thesis-based programs, subject to conditions. Support through teaching, research or a scholarship should only be included in your budget once its terms are confirmed in your individual offer. A funding opportunity does not mean automatic coverage of your costs.

Admission and internships: identifying each step

Admission to a university, access to a specialization and entry into an internship program may involve separate processes. At Toronto, enrolment in the Specialist presented here takes place after 4.0 university credits. This criterion does not describe initial admission to the university. A separate application to the Arts & Science Internship Program (ASIP), an internship program, is possible under its own conditions, with no guarantee of an internship.

At Alberta, the stated minimum requirements for the department’s MSc include a four-year undergraduate degree, or an equivalent qualification, strong quantitative preparation and an admission average of at least 3.3 out of 4. This average is calculated over the last 60 graded units, or the equivalent of the last two years of full-time study. It does not guarantee admission and should not be mechanically converted into a French grade out of 20.

For each application, gather the official requirements in a single reference sheet: previous degree, subject-specific preparation, average calculation, documents, language requirements and deadline. Distinguish the stated minimum requirements from the final admission decision.

Budget: comparing the amount left to fund

Build a budget for your program, your status and your entry year. Do not mix the financial conditions applicable to Canadian and international students, and do not treat a general amount as the price of every program at a university.

At Alberta, the calculation includes tuition and non-instructional fees. Mathematical finance provides an example of a possible surcharge: some MBA courses may incur additional fees. Any potential offset should not be assumed.

Request a calculation that separates tuition, mandatory fees, program-specific surcharges and confirmed funding. Then add your estimated living expenses, including housing, food and transportation. Compare the amount left to fund, rather than the amount of a scholarship in isolation. The information available here does not allow a representative national budget for mathematics and statistics to be established.

International students: separating the degree from work authorization

For an international student, academic choice and eligibility for work authorization are two separate checks. According to the IRCC requirements consulted on October 26, 2026, bachelor’s, master’s and doctoral graduates are not subject to a field-of-study requirement for the post-graduation work permit.

Under the framework applicable to post-graduation work permit applications submitted on or after November 1, 2024, they must notably meet the language requirement of NCLC 7 in French or CLB 7 in English in all four skills, as well as the other eligibility requirements. A degree therefore guarantees neither a permit nor a job. These rules concern international students; they are not academic requirements imposed on Canadian students. This is general information, not individual immigration advice.

To make your final choice, return to four questions: do the courses match your interests? Do you understand the progression requirements? Does the program prepare you for your intended next step? Is the budget sustainable using only confirmed resources? This overall fit should guide your selection.