Which is better for undergraduate research, Carnegie Mellon or Notre Dame?

I’m a high school senior deciding between Carnegie Mellon and Notre Dame, and I’m especially interested in getting involved in research as an undergraduate. I want to understand which university generally provides stronger access to faculty research opportunities for undergraduates.
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The central tradeoff is research breadth and technical intensity at Carnegie Mellon versus Notre Dame’s more undergraduate-centered mentoring environment. Carnegie Mellon places undergraduates alongside highly active labs in computer science, robotics, artificial intelligence, engineering, design, and quantitative social science, and students who take initiative can find research tied to major faculty projects early. Notre Dame also has substantial research activity, but its smaller undergraduate focus can make it easier to build sustained relationships with professors and find guided entry points into a lab.

At CMU, research access can be especially strong for students prepared to navigate a fast-paced, specialized environment. Opportunities are often found by taking relevant courses, attending lab events, contacting faculty with a specific interest, and using departmental or summer research programs. The depth of the research ecosystem is a particular advantage for students interested in computing, robotics, machine learning, human-computer interaction, or engineering.

Notre Dame offers meaningful undergraduate research across STEM, humanities, and social sciences, including summer programs and faculty-mentored projects. Its residential campus culture and emphasis on undergraduate teaching may make outreach feel less intimidating, especially for a student who wants close advising and a broad college experience alongside research.

For undergraduate research overall, Carnegie Mellon has the edge, particularly in technical and computational fields, because of the concentration of specialized labs and research-active faculty. Notre Dame may be the more compelling choice when close mentorship, a less intensely preprofessional atmosphere, and accessible research across disciplines matter as much as the scale of the research enterprise.
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