Admission Requirements

The nature of the program requires strong mathematical and data analysis skills. The following are required for consideration for admission:

  • Undergraduate degree from an accredited university with strength in mathematics, computer science, health, arts, business, economics, engineering or science. Including at least one mathematics or statistics course that covers hypothesis testing and regression.
  • At least a B average (3.0 GPA) or equivalent in the final 60 credit hours of the undergraduate degree.
  • Strong English language proficiency is important for success in the program. Applicants whose first language is not English must demonstrate their English language proficiency as outlined in the Graduate Academic Regulation 1e with the following additional requirements:
    • a TOEFL (iBT) score of at least 92 with no band below 20; or
    • an IELTS score of at least 6.5, with no band below 6
  • Relevant work experience is desired. Applicants will be required to submit an up-to-date curriculum vitae, indicating relevant work experiences.
  • An interview may be required for further assessment, so applicants must agree to a virtual and/or in-person interview. The program representative will contact applicants if this is required.
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