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Innovative academic offerings. Demonstrated professional outcomes. Pursue an M.A. or M.Sc. in this versatile program. Explore the expanding domain of Big Data Analytics or enhance your expertise in Financial Analytics for Big Data, mastering modeling approaches used in finance while developing sought-after data science skills. This intensive 12-month M.Sc. curriculum addresses diverse data science subjects, preparing graduates to manage and interpret intricate datasets spanning scientific and social science disciplines. The program culminates with a research practicum, providing vital hands-on training for academic and career advancement.
B.A. or B.Sc. honours degree (a four year undergraduate bachelor's degree) in one of the traditional disciplines: Anthropology, Biology, Business Administration, Chemistry, Computing & Information Systems, Economics, Geography, Humanities, Mathematics, Physics & Astronomy, Philosophy, or Psychology
Minimum B plus (77%) or equivalent in the work of the last four semesters or the last two undergraduate years (last ten full credits)
A university course in differential and integral calculus, and one in probability and statistics or the equivalent
Post-secondary transcripts and graduation certificates (where applicable) of all previous undergraduate and graduate work are required. This includes transcripts for courses taken on a Letter of Permission, for transfer credit, or on an exchange program. Transcripts must show all course work completed and grades received. If applicable, evidence of degree completion is required. Transcript must include a grading scale or transcript legend.