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.
Students are required to complete 15 units in coursework and a thesis.
Coursework (15 units)
Courses are to be chosen in consultation with the supervisor and approved by the Associate Chair (Graduate). Courses must include:
- Four 3-unit graduate level courses approved for this specialization
- Two 3-unit courses must be through the Department of Mathematical and Statistical Sciences
- Two 3-unit courses must be through the Department of Computing Science
- 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.
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.
Academic Standing Requirement
PhD students are required to maintain a minimum GPA of 3.3 in three graduate courses (excluding CMPUT 603) with no grade lower than B-.
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).
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.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.
Please refer to the detailed program information or email csapplygrad@ualberta.ca.
General inquiriesPlease 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