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

Coursework (18 units)

• Two of
  • STAT 571  
  • STAT 566  
  • STAT 665  
• 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

Training and Consulting Centre

As part of the educational experience, thesis-based MSc students in the Statistical Machine Learning program can participate as consultants in the Training and Consulting Centre (TCC), after having completed 39 hours as TCC observers. They are academically evaluated by the Director of the TCC. Graduate Research Assistantship Fellowships may be provided to the thesis-based graduate students involved in the TCC as consultants.