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Master of Science in Computing Science - Statistical Machine Learning
We provide Master of Science in Computing Science - Statistical Machine Learning. We will wholeheartedly provide you with the best quality educational resources and support. We are committed to helping every student achieve greater success in this professional field and lay a solid foundation for future career development.
Master of Science in Computing Science - Statistical Machine Learning

  

About the course

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.The SML program gives you the opportunity to build strong foundations in probability theory and statistics. These days, the boundary between machine learning and statistics is even less clear than it was ever before. Statisticians publish in machine learning journals and at machine learning conferences and vice versa. After all, both paths are exploring better ways to create better models which would, in turn, produce better predictions. In fact, the demand for rigorous analysis of algorithms is bigger than ever -- and for good reason: a solid understanding of algorithms is necessary to build a good foundation so that the tower of results built on top of it does not collapse. Empirical evidence is important, but it can never tell the whole story. Scholarships - View all scholarships Internships

  

Start dates and prices

Course fees are indicative and should be used as a guide. Speak to a counsellor to get an accurate price.

  Duration: 2 Year(s)Fees: Not available

Intake Location
Fall (September), 2024 Edmonton
Fall (August), 2025 Edmonton

  

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University of Alberta

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How to apply

Entry requirements for University of Alberta

The entrance requirement for the Master of Science degree in Statistical Machine Learning is a four-year degree in Computing Science or in Mathematical and Statistical Sciences with a GPA of 3.0 or better in the last two years of study, or an equivalent qualification from a recognized institution.TOEFL (Test of English as a Foreign Language) Minimum score = 600 paper, 250 computer based, 100 internet with a minimum score of 20 per section. IELTS (International English Language Testing System) Overall band score of 7.0, with a score of at least 6.0 on each test band. You must have an undergraduate grade point average of at least 3.0 on a 4.0 point scale, over the last 20 half courses to apply.

  

English language requirements

  7.0

  Overall IELTS band score

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  About IELTS

  Practice and prepare

  TOEFL Internet based overall score: 100.0

  

Application deadline:

This date isn’t available – speak to an IDP counsellor to get detailed information.

  

Further information

Career outcomes

  

Reviews and rankings

World ranking

  109th / 1250

  THE World ranking

  

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