Master of Science in Mathematical and Statistical Sciences - Modeling, Data and Predictions (Course based)

This course-based Master's Program in Modeling, Data and Predictions (MDP) is a graduate training program in data science designed to be completed in 16 months. Graduates of the MDP program will earn a MSc Degree in Mathematical and Statistical Sciences with specialization in Modeling, Data and Predictions. Created by the Department of Mathematical and Statistical Sciences, this training program will emphasize the practical aspects of mathematical and statistical modeling, data analysis, statistical machine learning algorithms, and modern computational methods. Upon completion of this program, graduates will possess a unique combination of data modeling and data analytics skills, as well as important soft skills for workplace, and be ready to pursue data science related careers in industry and government.

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,