Columbia or Cornell for data science: which is the better choice for an undergraduate student?

I’m trying to decide between Columbia and Cornell for data science, and I’m stuck because both seem strong in different ways.

I want to study data science in college and I’m looking for a place with good academics, useful research or internship opportunities, and a student environment that fits me.
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The biggest practical tradeoff is Columbia’s location-driven access versus Cornell’s campus-based depth. Columbia gives you New York City right outside the gates, which can make semester-time internships, industry events, and networking in tech, finance, media, and startups much easier. Cornell, meanwhile, tends to offer a broader traditional campus experience and very strong technical infrastructure, with data science connected across computing, statistics, engineering, and applied fields.

For undergraduate data science specifically, Cornell often stands out for the strength and scale of its technical ecosystem. Its programs in computer science, statistics, operations research, information science, and engineering create a lot of ways to build a rigorous data-focused path, and the university has made data science a major cross-campus priority. If you think you may want flexibility to lean more mathematical, computational, or applied, Cornell gives you a lot of room to shape that.

Columbia is also excellent, but the appeal is a bit different. The NYC setting is not just a lifestyle perk, it can directly affect your undergraduate experience through in-semester internships, research collaborations, and exposure to employers. Columbia’s data science offerings are strong and the university benefits from ties to business, public health, journalism, and other fields where data work is very active.

Student environment is where the choice often becomes clearer. Cornell feels more like a self-contained college community, with a larger campus and more classic residential feel. Columbia is more urban, denser, and faster-paced, and some students love the energy while others find it less cohesive socially.

If the question is which school gives the stronger overall undergraduate platform for studying data science, I’d lean Cornell. If what matters most is building your college years around NYC access, in-semester internship potential, and an urban experience, Columbia has a real edge.
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College is too important to leave to AI
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