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Doctor of Philosophy (PhD) in Computing Science with Specialization in Statistical Machine Learning

Canada

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What will I learn?

The offered PhD programs are: a standard PhD in Computing Science and a program leading to a PhD in Computing Science with specialization in Statistical Machine Learning.

Statistical Machine Learning emphasizes the theoretical aspects of the design and analysis of machine learning algorithms using tools of statistics and computer science.

Students can alternately apply to the Department of Mathematical and Statistical Sciences to participate in this program.

Program Requirements:

Students are required to complete ?15 in coursework and a thesis.

Coursework (?15):

Courses are to be chosen in consultation with the supervisor and approved by the Associate Chair (Graduate). Courses must include:

Four ?3 graduate level courses approved for this specialization

Two ?3 courses must be through the Department of Mathematical and Statistical Sciences

Two ?3 courses must be through the Department of Computing Science

CMPUT 603 (?3)- Teaching and Research Methods

Thesis:

Registration in 900-level THES. The thesis must be in an area associated with Statistical Machine Learning. The thesis topic is to be approved by the supervisor.

Candidacy Exam:

Students are required to write a candidacy document and take a candidacy oral examination. Students must demonstrate that they have adequate knowledge of the discipline and subject matter relevant to the thesis topic and the ability to pursue and complete original research at an advanced level.

Length of Program:

Students are encouraged to finish their PhD program within 5 years.

The maximum time to complete the PhD program as set by the Faculty of Graduate Studies and Research is six years.

Which department am I in?

Faculty of Science

Study options

Full Time (5 Years)

Tuition fees
CAD$8,874.00 (US$ 6,378) per year
Given fees may be subject to change in future

*Price shown is for indicative purposes, please

Start date

September 2025

Venue

University of Alberta

North Campus,

116 Street and 85 Avenue,

EDMONTON,

Alberta (AB),

T6G 2R3, Canada

Entry requirements

For international students

Applicants for the PhD in Computing Science must have an MSc degree in Computing Science or a related field.

Exceptionally qualified applicants having the equivalent of a First-Class Honors BSc degree may be admitted directly to the PhD program.

MSc candidates who perform especially well in their first session (eight months) of studies, may apply to change program category into the PhD program after two terms of study.

All applicants must have an admission GPA of at least 3.0 on the 4-point scale from the University of Alberta, or an equivalent standing from a recognized institution. The admission GPA will be calculated on the last ?60 of graded coursework completed, or on the equivalent of the last two years of full-time graded coursework.

English language requirement:

  • a minimum TOEFL score of 100 with a minimum score of 21 on each of the individual skill areas (internet-based), or equivalent
  • a minimum of 6.0 on each band on the IELTS with an overall minimum score of 7.0,
  • a minimum overall score of 70 on the CAEL with at least 60 on each subtest
  • a minimum overall score of 68 on the PTE.

Deadline: January 15

*There may be different IELTS requirements depending on your chosen course.

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About University of Alberta

One of Canada鈥檚 top teaching and research universities, the University of Alberta has an international reputation for academic excellence.

  • Top 100 university globally (QS, 2025)
  • 18 faculties, offering more than 200 undergraduate programs
  • Students from over 157 countries
  • 6th in the world in the Times Higher Education Impact Rankings