Master of Science in Mathematical and Statistical Sciences (Course based)

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 course-based MSc degree is primarily intended as a terminal degree, to be followed by employment in a related occupation. Course-based MSc students are not provided funding. Students who plan to continue to a PhD program are encouraged to enter the thesis-based MSc program.

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. 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.
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,