- HBA · 4 years
- Work experience details
- ~High 80s to low 90s


York University · Keele Campus.

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Published approximate guidance: mid-70s or higher. 2027. Current York guidance for Ontario high school applicants
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Winter 2027
Applies to Ontario high school, out-of-province high school, international, and university/college transfer and mature students alike. Verbatim: "Submit your application by the date(s) listed below for guaranteed consideration" and "we will continue to accept and assess applications until each program is full".
Verbatim: "There is no specific Undergraduate application deadline if you are a Group B applicant. Deadlines vary at each university and sometimes depend on the program. Visit the university websites or contact the universities directly for their deadlines. If you are interested in a program but the deadline has passed, you may contact the university's admission office for help. Be aware of university-specific deadlines for submitting transcripts and portfolios, if required, and for arranging interviews and auditions. You must ensure the OUAC has enough time to process your choices before the universities' program deadlines." OUAC defines Group B as anyone who does not meet the Group A criteria, e.g. not currently taking an Ontario high school course, a Canadian outside Ontario, an international applicant, a postsecondary transfer student, or a mature applicant.
Ontario high school applicants
Ontario high school applicants who received an offer
Alberta high school applicants
British Columbia high school applicants
Quebec CEGEP applicants
International Baccalaureate Diploma applicants
Current York guidance for Ontario high school applicants
York current Ontario school-leaver admissions tableYork current Ontario school-leaver admissions tableIntroduces linear equations, vector spaces, matrices, determinants, linear transformations and eigenvectors, with an emphasis on proofs.
York University Mathematics and Statistics course description, SC/MATH 1021Introduces data summaries, probability distributions, sampling variability, estimation and statistical tests.
York University Mathematics and Statistics course description, SC/MATH 1131Develops problem-solving and proof skills through precise mathematical language, conjectures and logical reasoning.
York University Mathematics and Statistics course description, SC/MATH 1200Develops differential calculus through limits, continuity, derivatives, proofs and applications.
York University Mathematics and Statistics course description, SC/MATH 1300Develops techniques of integration and applies them to areas, volumes and motion. It also introduces improper integrals.
York University Mathematics and Statistics course description, SC/MATH 1310Extends linear algebra to general vector spaces, inner products, orthogonality, spectral theory and matrix forms.
York University Mathematics and Statistics course description, SC/MATH 2022Introduces probability, random variables and expected values through mathematical models and applications.
York University Mathematics and Statistics course description, SC/MATH 2030Complete one course from this group to finish the 24-credit core.
Studies multivariable differentiation and integration, vector fields and optimization for engineering and the physical sciences.
York University Mathematics and Statistics course description, SC/MATH 2015Extends calculus to several variables through vector-valued curves, partial derivatives, tangent planes and multiple integration.
York University Mathematics and Statistics course description, SC/MATH 2310Develops probability tools for inference, including joint and conditional distributions, expectation, covariance and correlation.
York University Mathematics and Statistics course description, SC/MATH 2131Studies multivariate distributions, convergence, order statistics, likelihood methods and the foundations of hypothesis testing.
York University Mathematics and Statistics course description, SC/MATH 3131Develops statistical inference through sufficiency, decision theory, likelihood-ratio tests, Bayesian statistics and linear models.
York University Mathematics and Statistics course description, SC/MATH 3132Studies linear regression for a quantitative response, with matrix methods and practical data analysis.
York University Mathematics and Statistics course description, SC/MATH 3330Studies sampling designs and statistical inference for surveys, including how to design around the population being studied.
York University Mathematics and Statistics course description, SC/MATH 3430Extends regression to categorical and count outcomes, including models for several categorical responses.
York University Mathematics and Statistics course description, SC/MATH 4330Studies how to design experiments for valid inference, including treatment selection, sample size and random allocation.
York University Mathematics and Statistics course description, SC/MATH 4730Uses R and SAS in a statistics capstone to prepare, analyse and interpret real datasets.
York University Mathematics and Statistics course description, SC/MATH 4939Career examples have not been verified for this page.
Official program pageProgramme-specific fees are unavailable.
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