At University of Alberta in Edmonton, Canada, Master of Science with a Specialization in Statistical Machine Learning Mathematical and Statistical Sciences is offered as a master's degree in AI & Machine Learning programme. The programme is delivered on campus. Tuition for international students is CAD 10,519 per year.
At a glance
Degree:Master's Degree
Field:AI & Machine Learning
Delivery: On Campus
International tuition: CAD 10,519 / year
We have no an application deadline on record for this programme yet — see the official programme page.
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Last reviewed September 2026 ·
Program details
Overview
This Master of Science, offered by the University of Alberta's Department of Mathematical and Statistical Sciences, specializes in Statistical Machine Learning and is offered only as a thesis-based program; the department does not currently offer a course-based MSc in this specialization. Previous credentials for applicants should be in Mathematical and Statistical Sciences or Computing Science. It sits alongside the department's other graduate programs in Mathematics, Applied Mathematics, Mathematical Finance, Mathematical Physics, Statistics, Biostatistics, Data Science, and Modelling, Data and Predictions. Admission requires a four-year undergraduate degree with a background in mathematics, physics and/or statistics, and a minimum admission GPA of 3.3 on the 4-point scale (or an equivalent qualification), calculated on the last 60 units of graded coursework or two years of full-time study. Applicants must submit a curriculum vitae, a personal statement of up to two pages, and three letters of reference. The program is delivered on campus at the University of Alberta in Edmonton.
Requirements
Minimum GPA:3.30 / 4.0
Admission Requirements: Applicants need a four-year undergraduate degree with a background in mathematics, physics and/or statistics, and a minimum admission GPA of 3.3 on the 4-point scale from the University of Alberta (or an equivalent qualification and standing), calculated on the last 60 units of graded coursework or the equivalent of the last two years of full-time graded coursework; previous credentials should be in Mathematical and Statistical Sciences or Computing Science. Where applicable, proof of English Language Proficiency is required via TOEFL, IELTS, PTE or Cambridge (scores must be less than two years old). Applicants must submit a curriculum vitae, a personal statement of up to two pages, and three letters of reference; publications (up to three) and GRE scores may be submitted but are not required. Satisfying the minimum entrance requirements does not guarantee admission.
