Arizona State or University of Maryland for data science: which is the better choice for undergrad?

I’m trying to decide between Arizona State and the University of Maryland for a data science major, and I’m having a hard time comparing them in a way that actually matters for undergrad.

I care most about the strength of the program, internship and job opportunities, and whether one school has a better reputation for data science after graduation.
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For undergraduate data science, University of Maryland usually has the edge if you care most about reputation, access to internships during the school year, and being close to a dense tech and government hiring market. Maryland benefits from its location near Washington, DC, and the broader DMV region, where students can reach internships in tech, consulting, federal agencies, research labs, and defense-related work more easily. It also has a strong overall name in computing and quantitative fields, which tends to travel well with employers.

Maryland makes the most sense for the student who wants a more academically intense environment tied closely to research and East Coast recruiting. If you are interested in applying data science to public policy, cybersecurity, health, economics, or government data, its location is a real advantage. The nearby internship ecosystem matters because undergrads in data science often benefit from part-time work or semester internships, not just summer roles.

ASU is still a credible option, especially for the student who wants flexibility, scale, and a very career-oriented university that is used to supporting large numbers of students. ASU has strong ties to the Phoenix area. It can be a good place for a student who is proactive, wants plenty of course options, and is comfortable navigating a large university to find research, project teams, and industry connections.

Where ASU can work especially well is for someone who expects to build experience through initiative rather than relying on the school’s brand alone. Students who aggressively pursue labs, hackathons, faculty projects, and internships can do very well there. In data science, that matters a lot because employers care heavily about technical projects, programming, statistics, and real-world datasets.

On pure undergrad outcomes, I would lean Maryland unless ASU is significantly cheaper or a better personal fit. The combination of stronger broad reputation in technical fields and easier access to high-value internships during the academic year gives Maryland an advantage. If cost is close, Maryland is the safer pick for data science; if ASU comes with much lower debt, that can absolutely outweigh the gap.
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College is too important to leave to AI
Life-changing decisions deserve guidance from an expert
A real advisor gets to know you, brings experience from helping other students, and helps you make choices with confidence.
Have questions about the admissions process?
Start working with a Sundial advisor today!