2022-23 IMI BIGDataAIHUB Case Competition


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.

WATCH: Two-time winner Alexys Pereira shares his experience with the competition and how it kickstarted his career at Scotiabank.



About the 2022-23 Case Competition

2022-23 IMI BIGDataAIHUB Case Competition. $25,000 minimum in prizes. All UofT graduate students and undergrads with big data/AI experience are welcome to compete.

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).

Competition Details

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



Registration and Competition Details

Register as a COMPETITOR for the case competition - REGISTRATION IS NOW CLOSED. Good luck to all our participants!

The competition will be geared toward graduate students from all three U of T campuses and undergraduate students with advanced programming and AI skills.

Competition Eligibility for Case Competitors

  • To be eligible for this competition, students must demonstrate that they are enrolled at the University of Toronto throughout the entire competition period. As part of the registration process, competitors are required to complete a short information questionnaire. All team members must register individually on Eventbrite - they will then be able to create their teams on the Quercus shell.
  • It is anticipated that there will be three to five participants per team, however, teams with a minimum of two members are invited to register as well.
  • Any teams initially registering fewer than four team members could potentially find that the competition organizers might add additional members to their team to top-up the number closer to four members per team depending upon the total number of registrants and availability of U of T computing resources. This is also designed to foster cross-disciplinary teams.
  • Individual registrations (i.e. rather than in pre-arranged teams) are also welcome, however, these individuals will be assigned to teams.
  • PLEASE NOTE: Each team must have at least one or two members with a strong background in data analysis and/or computer science, and possessing strong programming skills (e.g. python).
  • Diversity is encouraged. The commingling of students from different academic disciplines on each team is actively encouraged, but not a requirement.


Competition Timeline and Agenda

Date/Time Agenda

November 3rd @ 9:00 AM

 Online registrations open.


November 21st @ 5:00 PM

Online registrations will be closed. Early registration is strongly encouraged as registration may close early depending upon the level of interest.


November 26th @ 11:30 AM - 1:00 PM

Virtual Kick-Off Meeting – This information session is expected via Zoom (Details to follow). All registered competitors are expected to attend the entire Kick-Off Session.


November 2022 - March 2023

Technical Workshops – A series of big data and artificial intelligence educational workshops will be scheduled in November, December, January, February and March for registered entrants wishing to participate.  These workshops are designed to enhance your learning and skill sets. They are encouraged but not required.


February 27, 2023 @ 5:00 PM

All teams are to submit their approach, findings and recommendations via ten-minute voice-over PowerPoint video presentations (i.e. Zoom, or QuickTime videos).


March 20, 2023 @ 5:00 PM

As a condition of remaining in the competition, all finalist teams selected will be required to document their approach, findings and recommendations in a written paper of up to ten pages in length, plus attachments. Some of these finalist team papers may be selected for subsequent publication.

All finalists submit their PowerPoint slides and data submissions.


March 25, 2023

The final round of PowerPoint presentations will be delivered in-person in front of a panel of judges and an audience in the Innovation Centre at the University of Toronto, Mississauga.  Finalists will present for up to 15 minutes and a 20-minute question and answer period will follow. The written submissions will be taken into consideration in the selection of the first, second and third-place winners.




Case Competition: Technical Workshops

All technical workshops will be delivered by zoom.  The zoom link will be found in your Quercus shell for the Case Competition.  You are automatically enrolled in the Quercus shell as part of your registration.

Check back regularly for the updated technical workshop schedule!


Co-Curricular Record (CCR) Notation

The Co-Curricular Record (CCR) is an official U of T document that recognizes the value of student engagement and co-curricular involvement as an important part of your holistic university experience. CCR Pending*



Thank you to our sponsors

Institute for Management & Innovation at University of Toronto Mississauga Logo
BIGDataAIHUB at IMI logo


Scotiabank Logo



Stem Fellowship Logo


IMI x logo


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