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

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

Why study this program?

The Computing Science Department offers programs leading to the degrees of Master of Science and Doctor of Philosophy in major areas of study, including Human-Computer Interaction, Algorithmics, Artificial Intelligence, Bioinformatics, Communication Networks, Computer Games, Computer Graphics, Computer Vision and Multimedia Communications, Database Systems, Machine Learning, Reinforcement Learning, Robotics, Software Engineering, Software Systems and Statistical Machine Learning.

The offered MSc programs are: a standard MSc in Computing Science, an MSc in Computing Science with specialization in Statistical Machine Learning and an MSc in Computing Science with specialization in Multimedia. The standard MSc in Computing Science is offered as a thesis-based program, as well as course-based program; the MSc in Computing Science with specialization in Statistical Machine Learning is offered as a thesis-based program; the MSc in Computing Science with specialization in Multimedia is offered as a course-based program.

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.

Further information may be obtained from the Graduate Program Administrator, Department of Computing Science.

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ADDITIONAL INFORMATION

Faculty:
Science

Delivery Mode:
On Campus

Program Type:
Thesis Based

Degree Level:
Master's

Program Requirements

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 & Postdoctoral Studies is four years.


Courses

Graduate courses can be found in Course Listings , under the subject heading Computing Science (CMPUT).

Multimedia courses can be found in Course Listings , under the subject heading Multimedia (MM).

Tuition and Fees

The department provides financial support for students in thesis-based programs according to the guidelines given in the Department of Computing Science Financial Support Policy.  In order to be considered for assistance, students must maintain satisfactory academic and teaching performance.

For general information, please visit the Tuition and Fees page on the Faculty of Graduate Studies and Research site.
Scholarships and Financial Support

The Faculty of Graduate Studies and Research administers over $29 million each year in scholarships, awards, and financial support for graduate students, as well as financial and loan advising. Additional scholarships are also available for specific faculties and programs.

QUESTIONS?
Program-specific inquiries

Please refer to the detailed program information or email csapplygrad@ualberta.ca.

General inquiries

Please check out some of our most frequently asked questions (FAQS) to see if your question has been answered, or contact the Faculty of Graduate & Postdoctoral Studies (GPS) during our office hours.

Faculty of Graduate Studies and Research (FGSR)
Killam Centre for Advanced Studies
2-29 Triffo Hall
University of Alberta
Edmonton, Alberta, Canada T6G 2E1

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