PhD in Computing Science - Statistical Machine Learning in Edmonton Canada | University of Alberta

University of Alberta | Edmonton Canada
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Qualification
Doctor of Philosophy
Languages
English
Delivery Mode
On-Campus
Tuition (2025)
CAD 9,406
(c. USD6,763.74)
Attendance
Full-time
Full-time Duration
60 months

The Master of Science (M.Sc.) and Doctor of Philosophy (Ph.D.) programs in Statistical Machine Learning are offered collaboratively between the Department of Computing Science and the Department of Mathematical and Statistical Sciences. This program focuses on the theoretical foundations for developing and evaluating machine learning algorithms through statistical and computational approaches.

Prospective students may apply through either the Department of Computing Science or the Department of Mathematical and Statistical Sciences. The chosen department serves as the student's primary academic home, granting the degree and managing program administration. The Statistical Machine Learning program concentrates on theoretical principles for creating and assessing machine learning methods using statistical and computer science techniques. Alternatively, applicants may select the Department of Mathematical and Statistical Sciences for program participation.


Destination of Study

Subjects of Study

Language Requirements

English
IELTS 7.0

Qualification Requirements

A 3.0 GPA is typically the minimum GPA for acceptance in an MSc or PhD program. However, we may consider slightly lower GPAs in exceptional circumstances or due to small discrepancies in international GPA conversion rates. Test of English as a Foreign Language (TOEFL iBT, in-person or special at-home edition) - A minimum TOEFL score of 100 with a minimum score of 21 on each of the individual skill areas (internet-based), or equivalent. Academic International English Language Testing System
(IELTS - Academic) A minimum overall band score of 7.0 with a minimum score of 6.5 on each band

Tuition CAD 9,406

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