Open to students from any academic discipline at U of T, the IMI BIGDataAIHUB Case Competition is designed as a developmental opportunity for students to gain additional hands-on exposure to big data and artificial intelligence through real-world data – with the chance to win $25,000 in cash prizes.
The 2023 IMI Big Data & Artificial Intelligence Case Competition is a multi-faceted competition open to graduate students and undergrads with big data/AI experience from any academic discipline in any year of their academic career at the University of Toronto. Some prior experience in working with big data / artificial intelligence is required.
In addition to the competition, there will be 6-8 advanced technical workshops. Attendance at these is encouraged but optional. They will address specific big data, artificial intelligence and machine learning techniques that competitors may wish to consider employing.
Registered competitors will automatically have access to these workshops, as well as a second set of seminars offered through the IMI BIGDataAIHUB Seminar Series. Students who do not compete in the Case Competition are welcome to register for the Seminar Series.
The event is designed as a developmental opportunity for students. Participants will gain additional hands-on exposure to big data and artificial intelligence as well as an opportunity to practice their formal presentation skills in a safe, fun and collegial, yet competitive, environment.
Students will have their participation added to their Co-Curricular Record (CCR).
Date: November 2022 – March 2023
Location: Hybrid
Entry is FREE and open to all U of T students (masters, PhD, and eligible undergraduates with experience in big data and artificial intelligence)
$25,000 in cash prizes for competition winners
To register for the event, visit the official event page.