健康科学理学硕士（数据科学）

4-year (honours) degree, typically a Bachelor of Science degree in a relevant field (e.g.: Science, Life/Health Sciences, Psychology, Biostatistics, or related discipline
Minimum B+ (77%) average overall, but generally an A- (80%) average overall is required to be competitive
Students should contact prospective supervisors by email and attach to the email: 1) an up-to-date CV, 2) an unofficial transcript, 3) a statement of skills/experience relevant to the prospective supervisor's research, and 4) a brief statement about why the student is interested in working with the supervisor.
Transcript(s) All post-secondary transcripts are required
Letters of Reference Three (3) are required and should be submitted by former professors (preferably your project/thesis supervisors).
An academic referee is a faculty member with whom you have studied and is able to assess your potential for graduate level study and research. References from non-academic supervisors may be accepted in certain cases i.e. professional references or for professional programs.
Statement of Intent One (1) is required. The statement of intent is to be written in consultation with the proposed faculty supervisor from the Department of Health Sciences. Please see the Forms page for the Thesis Research Proposal (Statement of Intent) and Supervisor Agreement Template for HS MSc and PhD. This 1-page document must include: 1) an abstract of the proposed MSc research thesis project (background/rationale, research question(s), aims) and 2) supervisor information (name, contact information, and statement from the proposed supervisor acknowledging commitment to supervise and fund the student for the proposed thesis project). Both proposed supervisor and student must sign this form.
CV/Resume One (1) is required. This must include an up-to-date CV of the applicant, with a Statement of Experience highlighting the student's specific skills in research design, analysis, and writing, their willingness or ability to work collaboratively or in interdisciplinary teams, and their expertise, previous research, and/or work experience that positions the student to be successful in the interdisciplinary program.
Data Science Specialization Form (MSc only) One (1) is optional. You will need to complete the Data Science Specialization Form if you are interested in applying to the collaborative master's program in Data Science. This will be made available to you when you apply.

TOEFL iBT (including iBT Home Edition) - 86 (20 in reading and listening, 22 in speaking and writing)
IELTS (Academic) - 6.5 IELTS (minimum 6.0 in each band)