Master of Science in Computing Science with a Specialization in Statistical Machine Learning (Computing Science)

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 18 units in coursework and a thesis.

Coursework (18 units)

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

Five 3-unit graduate-level courses approved for this specialization
- At least one 3-unit course must be through the Department of Mathematical and Statistical Sciences
- At least one 3-unit course must be through the Department of Computing Science
- Normally two of the five courses must be at the 600-level.
CMPUT 603 (3 units) - 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.

Residence Requirement

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

Length of Program

Master’s students are expected to complete their program in less than two years.

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