This year’s competition pushes students to build intelligent AI systems capable of detecting financial anomalies — and opens a direct pathway from the classroom to one of Ottawa’s leading AI companies.’


Carleton University’s brightest data science minds are back in the spotlight as the MindBridge–Carleton University Data Science Challenge returns for 2026 — and this year, the competition is stepping boldly into the world of AI agents.

The annual challenge, now in its second year, has quickly become one of Ottawa’s most compelling showcases of emerging tech talent. Organized in partnership with Carleton’s Data Science and Analytics Institute (DSAI), the competition invites undergraduate and graduate students to design intelligent systems capable of spotting financial anomalies — the kinds of subtle irregularities that can signal fraud, risk, or deeper issues inside complex financial data.

If last year’s challenge was about proving what students could do with advanced analytics, this year is about pushing them into the next frontier of AI.

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