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Doctor of Philosophy (PhD) with a specialization in Statistical Machine Learning (Mathematical and Statistical Sciences)

Canada

96

5

What will I learn?

Students can alternately apply to the Department of Computing Science to participate in this program.

Program Requirements:

Students entering the program with no MSc or with an MSc from this Department must complete a minimum of ?32 in coursework, including a ?2 colloquium requirement, and a thesis. Courses taken during the MSc in this department may be included in this total.

Students entering the program with an MSc from outside the Department must complete a minimum of ?20 in coursework, including a ?2 colloquium requirement, and a thesis.

Core Courses (?12):

Core courses must be completed in the Entrance Year of the doctoral program

Two of the following:

STAT 571

STAT 566 OR STAT 664

STAT 665

Two ?3 courses at the Department of Computing Science chosen in consultation with the supervisor.

Optional courses:

All coursework must be chosen in consultation with the supervisor

Approved graduate courses offered by the Department of Computing Science may be used as deemed appropriate

Students taking this program through the Department of Computing Science are required to take CMPUT 603.

Students taking this program through the Department of Mathematical and Statistical Sciences may take CMPUT 603 .

All coursework to be counted towards the program requirements must be approved by the Associate Chair (Graduate Studies).

Additional coursework may be required

Graduate Colloquium (?2):

Students must complete two terms of MATH 601 and give a presentation in the Graduate Colloquium, unless this requirement was fulfilled as an MSc student in the Department.

Thesis:

Registration in 900-level THES. The principal requirement for the PhD is a substantial contribution to knowledge, embodied in a thesis.

Candidacy Exam:

It is strongly recommended that students take their candidacy exam before the end of their second year in the PhD program. All course requirements should have been met prior to the candidacy exam.

Length of Program:

The program is designed to be completed within four 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 (4 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

The Department's minimum admission requirements are an MSc degree in mathematical, physical, or statistical sciences, with an admission GPA of at least 3.3 on the 4-point scale from the University of Alberta, or an equivalent qualification and standing from a recognized institution.

English Language Proficiency:

  • a minimum TOEFL score of 100 (Internet-based) with a minimum score of 22 in each individual skill area, or equivalent;
  • a minimum IELTS score of 7.0 overall with a minimum of 6.0 on each band;
  • a minimum PTE overall score of 68 with a minimum of 60 in each category

*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