Quest Boosters are open to currently enrolled University of Minnesota students, either individually or as part of a student team. 

Both options are available. You may apply on your own or identify teammates in your application.  If you complete a quest as a team, the tuition credit will be split equally among teammates.

No, stop into the CSE AI Makerspace to get help if you need it! Relevant experience may include AI, data science, programming, design, project management, subject-matter expertise, or communication. 

No. You should understand the problem and be prepared to describe how you might approach it, but the final solution will be developed during the Quest. 

The AI Quests team reviews applications based on the Quest requirements, student interests, skills, availability, and team composition. You may be contacted for additional information before selections are made. 

Eligible students may receive tuition credit based on the Quest tier, successful completion, evaluation, and applicable University and program rules. Quest awards are tuition credit, not cash payments. 

No. Tuition credit requires approval, successful completion of the approved Quest scope, evaluation, and compliance with applicable program rules. . 

A Quest Booster is a structured opportunity for students to apply their skills to a real University problem or opportunity. The associated recognition may include tuition credit based on the Quest tier and approved program rules. 

Quest tiers reflect estimated time and complexity:

• Bronze: 5–15 hours and $250 tuition credit

• Silver: 15–40 hours and $500 tuition credit

• Gold: 40–60 hours and $1,000 tuition credit

Final scope and eligibility are subject to program review.

A good Quest addresses a real problem or opportunity, has a clear potential user or audience, can be completed within a defined scope, and includes appropriate data, systems, and support. 

No. Requesters should describe the problem, desired outcome, available resources, timeline, and constraints. The AI Hub and CSE AI Makerspace can help refine the technical scope. 

The public catalog may include the Quest title, problem or opportunity, tier, estimated hours, tuition credit, sponsoring unit, deadline, and application information.

Student applications, proposed solutions, internal notes, restricted data, and evaluation details remain private.

Do not submit confidential, restricted, student, health, financial, or research data through the public website or application forms. Describe the data at a high level and identify the appropriate data owner or security contact before providing access. 

Requesters should answer student questions, provide appropriate context and access, communicate about project expectations, and participate in reviewing the completed work. 

The AI Quests team may keep the Quest open, refine the scope, promote it again, or close it. Submission does not guarantee student participation. 

Email the AI Quests team at aiquests@umn.edu