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Mathematical and Statistical Sciences, MSc, PhD

University of Alberta, Canada

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About Mathematical and Statistical Sciences, MSc, PhD - at University of Alberta

The Department of Mathematical and Statistical Sciences offers graduate programs leading to the degree of Master of Science and Doctor of Philosophy in Mathematics, Applied Mathematics, Mathematical Finance, Mathematical Physics, Statistics, Biostatistics, Data Science, Statistical Machine Learning, and Modelling, Data, and Predictions.

Currently there is no course-based MSc program in Statistical Machine Learning, no thesis-based MSc or PhD programs in Modelling, Data, and Predictions, and no PhD program in Biostatistics.

Prospective graduate students should consult the Department about facilities available and the background required for the field in which they are interested.

The Regulations and Guidelines for Graduate Programs in the Department of Mathematical and Statistical Sciences (referred to in the following as the "MSS Regulations and Guidelines") provide detailed information about the graduate programs offered at the Department.

Learn more about Mathematical and Statistical Sciences, MSc, PhD - at University of Alberta

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Entry requirements

For the MSc, the Department's minimum admission requirements are a four-year undergraduate degree with a strong background in mathematics, physics and/or statistics, with an admission GPA of at least 3.3 on the 4- point scale from the University of Alberta, or an equivalent qualification and standing from a recognized institution.

For the PhD, the Department's minimum admission requirements are an MSc degree in mathematical, physical, or statistical sciences, with an admission GPA of at least 3.3 on the 4-point scale from the University of Alberta, or an equivalent qualification and standing from a recognized institution.

Previous credentials for applicants to Mathematical Finance should be in Mathematics, Statistics, Physics, Engineering or Finance.

Previous credentials for applicants to Statistical Machine Learning should be in Mathematical and Statistical Sciences or Computing Science.

The admission GPA will be calculated on the last *60 of graded coursework completed, or on the equivalent of the last two years of full-time graded coursework.

Where applicable, applicants must provide proof of English Language Proficiency (refer to English Language Requirement). Any one of the following is acceptable:

  • a minimum TOEFL score of 100 (Internet-based) with a minimum score of 22 in each individual skill area, or equivalent;
  • a minimum IELTS score of 7.0 overall with a minimum of 6.0 on each band;
  • a minimum PTE overall score of 68 with a minimum of 60 in each category

All test scores must be less than two years old.

Applicants are encouraged to contact academic staff before applying and identify professors who would be willing to provide supervision.

Fees, Funding and Scholarships at University of Alberta

The University of Alberta offers a wide ranges of scholarships to international students. You will be evaluated for these scholarships when you apply for admission. Your eligibility will be based on your high school admission average at the time of your admission offer. We'll assess you for a match to the following three schoolarship. If you are eligible for an admission-based scholarship we will contact you directly!

  • International Admissions Scholarship-up to $5,000
  • Regional Excellence Scholarship- up to $5,000
  • Gold Standard Scholarship- up to $6,000

You can also apply for our prestigious application based scholarships. Each year we award twenty five, $120K President's International Distinction scholarships. 

To find out more about scholarships click here

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