How do CMU and UCLA compare for undergraduate research opportunities?

For an undergraduate focused specifically on computer science research, Carnegie Mellon typically provides more direct and structured access than UCLA. CMU’s School of Computer Science is unusually central to the university, with undergraduate research built into a compact, highly research-intensive CS community. UCLA offers outstanding labs and more total disciplinary breadth, but its size can make finding an initial position more self-directed.

At CMU, it is common for students to approach faculty, doctoral students, and labs after taking relevant courses, and the university supports this through the Undergraduate Research Office. Research areas are especially deep in artificial intelligence, robotics, machine learning, human-computer interaction, systems, security, language technologies, and software engineering. Because many faculty labs regularly include undergraduates, a student who develops solid technical preparation can often move from course-based work into a sustained lab role relatively early.

UCLA’s computer science research environment is also exceptionally strong, with major opportunities across AI, data science, graphics, security, theoretical CS, robotics, computational biology, and engineering. The Undergraduate Research Center and departmental research courses can help students identify positions, while UCLA’s large faculty base creates many possible lab matches. Its proximity to other major UCLA research units can be particularly valuable for interdisciplinary work connecting CS with medicine, neuroscience, climate, public policy, or the arts.

At UCLA, students may need to email more faculty, build relationships through office hours and classes, and be persistent because many labs receive substantial interest. At CMU, competition still exists, but the smaller CS-centered setting and stronger concentration of computing research can make mentorship networks and lab entry points easier to navigate.

For a student who already knows they want CS research and wants it to be a defining part of the undergraduate experience, CMU has the edge. UCLA becomes especially compelling when the student wants a broader university environment or expects their computing interests to intersect heavily with another field.