Master of Science with a specialization in Statistical Machine Learning (Mathematical and Statistical Sciences)

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

Program Requirements

Students are required to complete a minimum of 20 units in graduate-level coursework, including a colloquium requirement, and a thesis.

Coursework (18 units)

Two of
Two 3-unit graduate-level courses from the Department of Computing Science, relevant to machine learning and chosen in consultation with the supervisor.
- 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 .
Two additional 3-unit approved graduate-level courses, to be chosen in consultation with the supervisor.
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 units)

Students must complete two terms of MATH 601 and give a presentation in the Graduate Colloquium.

Thesis

Registration in 900-level THES

Residence Requirement

The minimum period of residence for the MSc with a specialization in Statistical Machine Learning is two four-month terms of full-time attendance at the University of Alberta.

For part-time students, residence requirements are determined on a case-by-case basis.

Length of Program

The MSc programs are designed to be competed in 20-24 months.

The maximum time to complete the thesis-based MSc program as set by the Faculty of Graduate Studies and Research is four years.