Vector Scholarship In Artificial Intelligence
The Vector Scholarship in Artificial Intelligence supports the recruitment of top students to AI-related master’s programs in Ontario. Valued at $17,500 for one year of full-time study at an Ontario university, these merit-based entrance awards recognize exceptional candidates pursuing a master’s program recognized by the Vector Institute or who are following an individualized study path that is demonstrably AI-focused. Students in both core technical programs and complementary fields such as business and health are eligible for nomination. Scholarship nominations open January 6 and close April 3, 2020.
Scholarship Eligibility & Nomination Process
As students cannot apply directly to the Vector Institute for the scholarship, they are encouraged to work with the Ontario university to which they have applied for full-time master’s study. Individual programs may have specific internal deadlines related to the scholarship for applicants they will be nominating. Scholarship nominations open January 6, 2020 , and all scholarship nomination packages must be submitted by Ontario universities to the Vector Institute by April 3, 2020.
To be eligible for consideration for the scholarship, prospective students must:
- Be applying for entrance into a full-time master’s program in an AI-related field at an Ontario university for the 2020-21 academic year. You may be applying to a Vector- recognized program or be pursuing an individualized study plan that is demonstrably AI-focused at an Ontario university.
- Hold first-class standing (minimum of A- or equivalent) in the last two years of study (full-time equivalent) from a recognized university. It is expected that the prospective student’s transcript will reflect preparedness for the proposed master’s study. Consideration will be given to candidates with upper second class standing (B+) and relevant work experience or where extenuating circumstances apply if rationale for consideration is included.
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This opportunity has expired. It was originally published here: