Study Doctor of Philosophy in Computing Science - Statistical Machine Learning at University of Alberta in Canada,

About this course

About this course
- Overview
Study options
Entry requirements
- International

What will I learn?

The Master of Science (M.Sc.) and Doctor of Philosophy (Ph.D.) degrees in Statistical Machine Learning may be taken jointly in the Department of Computing Science and in the Department of Mathematical and Statistical Sciences. The program emphasizes the theoretical aspects of the design and analysis of machine learning algorithms using tools of statistics and computer science.Students can apply either to the Department of Computing Science or to the Department of Mathematical and Statistical Sciences to participate in this program. The department the student applied to becomes the host department of the student, gives his/her degree and does the administration of the program. 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.

Study options

Full Time (5 Years)

Tuition fees

CAD$10,518.72 (US$ 7,561) per year

Books, Supplies and Instruments - 1200.00

*Price shown is for indicative purposes, please check with institution

Start date

September 2027

Venue

North Campus

116 St. and 85 Ave.,

Edmonton,

Alberta,

T6G 2R3, Prairie Provinces, Canada

Entry requirements

For international students

A 3.0 GPA is typically the minimum GPA for acceptance in an MSc or PhD program. However, we may consider slightly lower GPAs in exceptional circumstances or due to small discrepancies in international GPA conversion rates.

*There may be different IELTS requirements depending on your chosen course.