Mathematical and Statistical Sciences - Modelling, Data, and Predictions (specialization)
| Award | Attendance | Study | Duration | Start | Domestic fees | International fees |
|---|---|---|---|---|---|---|
| MSc | On-Campus | find out | find out | find out | find out | find out |
About Mathematical and Statistical Sciences - Modelling, Data, and Predictions (specialization), MSc - at University of Alberta
Award: Master of Science
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.
Entrance 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 units 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;
- a minimum CAMBRIDGE score of 176 with at least 169 on each subscore.
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.
Applicants are also required to submit the following
- A Curriculum Vitae
- A brief (two pages maximum) Personal Statement
- Three letters of reference
- Publications (up to a maximum of three) may be submitted but are not required
- GRE scores (General and Mathematics) may be submitted but are not required.
Satisfying the minimum entrance requirements does not guarantee admission.
Entry requirements
Contact University of Alberta to find course entry requirements.
Why study at University of Alberta
- Ranked among the top 4 universities in Canada and top 100 in the world
- Guaranteed Tuition model, meaning your tuition does not increase during your program
- Each year, 25 students are awarded the President’s International Distinction Scholarship, worth up to CAN $120,000
- Co-op and paid work experience opportunities in many programs
- Guaranteed place in residence for first year students who apply by 30 April
- Graduates can apply for the three year Post-Graduation work permit, which allows you to work in Canada for up to 3 years
- Top 100 in the world for Graduate Employment outcomes