University of Alberta offers Doctor of Philosophy in Computing Science with Specialization in Statistical Machine Learning Computing Science, a doctorate in AI & Machine Learning programme in Edmonton, Canada. The programme is delivered on campus. Tuition for international students is CAD 10,519 per year.
At a glance
Degree:Doctorate
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 checked September 2026 · Source: ualberta.ca ·
Program details
Overview
The Doctor of Philosophy in Computing Science with Specialization in Statistical Machine Learning is offered by the Department of Computing Science in the Faculty of Science at the University of Alberta. It is a thesis-based, on-campus program, part of a department that also offers a standard PhD in Computing Science and related MSc programs across areas such as artificial intelligence, robotics, and software systems. Coursework totals 15 units, comprising four graduate-level courses approved for the specialization, split between the Department of Mathematical and Statistical Sciences and the Department of Computing Science, plus CMPUT 603 Teaching and Research Methods. The thesis, registered as 900-level THES, must be in an area associated with statistical machine learning and is approved by the supervisor. Students complete a candidacy document and an oral candidacy examination demonstrating adequate knowledge of the discipline and the ability to pursue original research. A minimum residence period of two academic years of full-time attendance applies. Students are encouraged to finish within five years, and the Faculty of Graduate & Postdoctoral Studies sets a maximum completion time of six years.
Requirements
Admission Requirements: Admission to the PhD in Computing Science, including the Statistical Machine Learning specialization, normally requires an MSc in Computing Science or a closely related field; exceptionally qualified applicants with the equivalent of a First-Class Honors BSc may be admitted directly when supported by a Computing Science faculty supervisor, with any background deficiencies addressed through additional undergraduate coursework. Applicants must have an undergraduate grade point average of at least 3.0 on a 4.0 scale over the last 20 half-courses. English Language Proficiency requires a TOEFL iBT score of 100 (minimum 21 per skill area) or IELTS Academic 7.0 (minimum 6.5 per band), or equivalent. Applicants must select a research area and name up to three potential faculty supervisors; admission is conditional on a faculty member agreeing to supervise. There is no direct admission into the Statistical Machine Learning specialization; students are admitted to the general PhD program and may seek an SML supervisor after arrival.
