10 Best Schools for Data Science

If you’re serious about turning data into decisions, you’re probably wondering where to start your journey—and more importantly, where to study. With so many programs popping up, it’s easy to get overwhelmed. In this blog, we’re diving into the best schools for data science—places that combine cutting-edge research, hands-on learning, and industry connections to help you stand out in one of the world’s fastest-growing fields.

• What Are the Best Schools for Data Science?
• How to Get into the Best Schools for Data Science
• Frequently Asked Questions
• Takeaways

What Are the Best Schools for Data Science?

With the data science field projected to grow over 36% in the next decade, choosing the right school is more important than ever. To help you make an informed decision, we’ve compiled a list of the best schools for data science, based on U.S. News & World Report’s 2025 Best Undergraduate Data Science Programs:

1. University of California Berkeley

Acceptance rate: 11%
Average tuition cost: $17,106 (in-state)

As one of the best schools for data science, UC Berkeley brings together tech, theory, and ethics in a way that few others do. You’ll study under the Division of Computing, Data Science, and Society (CDSS), which integrates computer science, statistics, and social impact in a highly interdisciplinary environment.

Notable professors include Michael Jordan—no, not that one—this Jordan is a legend in AI and machine learning. You’ll also find Jennifer Chayes, a pioneer in network science and former director at Microsoft Research.

Berkeley’s proximity to Silicon Valley means you’ll get access to elite internships and cutting-edge research. Plus, the school launched the Berkeley Data Science Undergraduate Studies (DSUS) program, one of the first of its kind, with pathways in domains like:

• Healthcare
• business analytics
• sustainability

UC Berkeley’s data science program has grown faster than any other major on campus, with over 1,200 declared majors in just a few years.

2. Massachusetts Institute of Technology

Acceptance rate: 4.5%

Average tuition cost: $61,990

You probably guessed MIT would be on this list—and for good reason. It’s not just one of the best schools for data science—it’s one of the best for anything related to tech and innovation. At MIT, you’ll learn under the Institute for Data, Systems, and Society (IDSS), where you can tackle global challenges using big data, algorithms, and AI.

Professors like Regina Barzilay, a leader in AI and computational medicine, and Dina Katabi, known for her work in wireless signals and health monitoring, make lectures feel like TED Talks.

The school also powers initiatives like The MIT Quest for Intelligence and J-Clinic for Machine Learning in Health, giving you plenty of chances to dive into real-world research.

MIT students helped design the COVID-19 analytics dashboards used across the U.S. So yeah—you won’t just study data here. You’ll be changing the world with it.

3. Stanford University

Acceptance rate: 3.9%
Average tuition cost: $21,709 (per quarter)

Located right in the heart of Silicon Valley, Stanford’s data science programs combine academic excellence with startup energy. It’s no surprise it ranks among the best schools for data science in the country.

You can pursue data science through the following departments:

• Department of Statistics
• Department of Computer Science
• Institute for Human-Centered AI

Whether you’re into AI ethics, computational biology, or predictive modeling, Stanford gives you room to explore it all.

Legendary faculty include Andrew Ng, co-founder of Google Brain and Coursera, and Fei-Fei Li, who’s leading efforts to make AI more ethical and inclusive. Alumni? Think Reid Hoffman (LinkedIn), Sergey Brin (Google), and Marissa Mayer (former Yahoo! CEO).

Stanford’s Data Science for Social Good program lets you apply your skills to education, healthcare, and criminal justice reform.

4. Carnegie Mellon University

Acceptance rate: 11.5%

Average tuition cost: $67,020

When it comes to AI, robotics, and analytics, Carnegie Mellon is in a league of its own. As one of the best schools for data science, CMU offers unmatched technical rigor paired with creative problem-solving. The School of Computer Science and the Heinz College of Information Systems and Public Policy both offer data science-focused tracks that are incredibly hands-on.

CMU also leads major research centers like the Auton Lab and Delphi Group, which provides real-time epidemic forecasting using—you guessed it—data science.

Alumni from CMU have gone on to lead at places like Google, Amazon, and Palantir. And if you’re into competitions, CMU students consistently dominate the Data Science Bowl and Kaggle challenges.

CMU is one of the only schools to offer an undergraduate degree in Artificial Intelligence, showing just how forward-thinking the school is in the data space.

5. Georgia Institute of Technology

Acceptance rate: 14.1%

Average tuition cost: $10,774 (in-state)

Georgia Tech might be known for its engineering roots, but its data science game is seriously strong. If you’re looking for a more affordable, innovation-driven option, this is one of the best schools for data science—especially for applied learning and industry prep.

The school offers a Bachelor of Science in Data Science through a partnership between the College of Computing and College of Sciences. You’ll get a mix of math, stats, machine learning, and real-world projects—plus access to labs like GT’s Machine Learning Center and Institute for Data Engineering and Science (IDEaS). Georgia Tech is also home to one of the most sought after online Master’s in Analytics programs.

Atlanta is quickly becoming a tech hub, and Georgia Tech plays a huge role in that growth. Students often intern with companies like NCR, Mailchimp, and The Home Depot—all headquartered nearby.

6. University of Washington

Acceptance rate: 43%

Average tuition cost: $12,973 (in-state)

Consistently ranked among the best schools for data science, University of Washington is known for its interdisciplinary approach and real-world impact. You’ll be part of the Paul G. Allen School of Computer Science & Engineering, which collaborates with the eScience Institute—a hub for data-intensive discovery across fields like:

• Climate science
• Genomics
• Social justice

The Allen School offers a rigorous and engaging undergraduate curriculum that prepares students to build successful careers, contribute to their communities and make an impact. You can choose between two programs: BS in Computer Science and BS in Computer Engineering.

Famous professors include Emily Fox, a leading researcher in machine learning for time-series data, and Bill Howe, who’s all about big data systems and cloud computing. The university also hosts Data Science for Social Good (DSSG) summer programs, where you can use data to tackle everything from homelessness to public health.

Seattle is home to tech giants like Amazon and Microsoft, meaning your classroom could turn into a launchpad for internships and networking with top industry players.

7. University of Michigan Ann Arbor

Acceptance rate: 18%

Average tuition cost: $17,736 (in-state)

With a campus that thrives on interdisciplinary learning, U-M Ann Arbor stands tall among the best schools for data science. You can major in Data Science through either the College of Engineering or College of Literature, Science, and the Arts (LSA)—giving you the freedom to shape your path whether you lean more technical or theoretical.

Michigan’s MIDAS (Michigan Institute for Data Science) is a research powerhouse that supports projects in:

• AI
• transportation
• healthcare
• music analytics

You’ll also find innovative courses in natural language processing, deep learning, and ethics in data science.

Notable professors include Alfred Hero, who focuses on information theory and biomedical data, and Jenna Wiens, a star in machine learning for clinical predictions. Alumni include Larry Page, co-founder of Google, who helped set the tone for data-first innovation.

U-M students worked with Detroit to optimize 911 response times using predictive modeling. So yeah—expect to do work that actually matters.

8. Cornell University

Acceptance rate: 8.4%

Average tuition cost: $71,266

If you’re drawn to the intersection of data, policy, and science, Cornell has one of the most diverse and dynamic offerings among the best schools for data science. You can explore the field through the Department of Statistics and Data Science, or dive deeper with majors in:

• Computer Science
• Operations Research
• Information Science

Cornell’s Data Science Minor is open to students from all colleges, encouraging cross-disciplinary collaboration—from business and biology to agriculture and AI. And the Ivy League rigor? Yeah, it’s real.

Faculty stars include Kilian Weinberger, who specializes in deep learning and autonomous driving, and Cristian Danescu-Niculescu-Mizil, whose work on conversational AI is reshaping how we build bots.

Cornell Tech in NYC also offers a Master of Science in Applied Information Science (Technion) & Master of Science Information Systems (Cornell) with a Concentration in Connective Media.

Cornell also runs AI for Science, a program designed to use machine learning to advance discoveries in physics, chemistry, and sustainability. So if you want your data work to have global impact, this is the place.

9. Harvard University

Acceptance rate: 3.6%

Average tuition cost: $56,550

You knew this was coming—Harvard is a no-brainer when talking about the best schools for data science. The university’s John A. Paulson School of Engineering and Applied Sciences (SEAS) offers a Data Science track that combines statistics, computer science, and domain expertise. You’ll also find a specialized Master of Science in Data Science offered jointly by SEAS and the Department of Statistics.

Harvard’s approach isn’t just technical—it’s deeply analytical and socially aware. Want to study algorithmic fairness or healthcare analytics? You’ll find courses tailored to those topics. Notable professors include David Parkes, a leader in AI and economics, and Francesca Dominici, known for applying data science to public health and climate change.

And yes, there are famous alumni. Think Mark Zuckerberg (Facebook), Susan Wojcicki (former CEO of YouTube), and Steven Sinofsky (former Microsoft exec)—all thinkers who value data as currency.

Harvard’s Data + Justice Lab explores how data systems affect equity in society. So if you’re looking to change the world and run the numbers, this could be your dream setup.

10. University of Illinois Urbana-Champaign

Acceptance rate: 44%

Average tuition cost: $18,046-$23,426 (in-state)

Quietly powerful and incredibly affordable, UIUC is a gem among the best schools for data science—especially for students who want strong academics without the Ivy League price tag. The school offers a B.S. in Statistics & Computer Science, as well as a standalone Data Science major introduced in recent years. It’s hands-on, fast-paced, and highly customizable.

UIUC’s National Center for Supercomputing Applications (NCSA) gives students access to one of the fastest academic supercomputers in the world. You’ll also find research initiatives in:

• Predictive analytics
• Cybersecurity
• AI ethics

Faculty standouts include Tamer Başar, a pioneer in control theory and networks, and Ravishankar Iyer, known for building scalable systems in cloud and edge computing. The school’s alumni list is also impressive—Max Levchin (co-founder of PayPal) and Jawed Karim (co-founder of YouTube) are just a couple of the big names.

UIUC is also home to the first web browser ever developed—yep, Mosaic was born here!

How to Get into the Best Schools for Data Science

Interested in pursuing data science? Here are our best strategies so you can enter the best schools for your dream degree:

1. Take a rigorous math and CS course load in high school.

If you’re aiming for the best schools for data science, you’ve got to show you’re serious about the math and computing game. Think AP Calculus, AP Statistics, AP Computer Science, and advanced electives if your school offers them.

According to a report from the College Board, students who take AP STEM courses are significantly more likely to pursue STEM majors in college—and schools notice that early commitment. Top data science programs often expect applicants to have strong foundations in linear algebra, calculus, and coding before they even arrive on campus.

If your school doesn’t offer certain advanced classes, supplement with online courses on platforms like edX or Coursera (bonus points if you take one from the school you’re applying to!).

2. Build a data science portfolio early.

You don’t need a PhD to show your skills—just some curiosity and initiative. Create a GitHub profile and start sharing data projects you’ve worked on: maybe you analyzed Spotify trends, built a COVID dashboard, or predicted NBA wins using machine learning.

A 2022 Stack Overflow survey found that over 80% of developers learned through self-guided projects and online resources. Admissions officers, especially at schools like MIT or CMU, love seeing that kind of initiative.

Include links to your portfolio or GitHub in your application, especially if you’re applying to programs like Berkeley’s Data Science major, which encourages interdisciplinary and project-based thinking.

3. Ace standardized tests—or know when to go test-optional.

Many of the best schools for data science—like MIT, Georgia Tech, and Carnegie Mellon—still require SAT or ACT scores and expect them to be high. A 1500+ SAT or 34+ ACT puts you in competitive territory.

Some schools, though, are test-optional. That doesn’t mean scores don’t help—they do. If your scores are strong, submit them. If not, focus on strengthening other parts of your application (like research or recommendations).

4. Get involved in STEM research or competitions.

Hands-on experience in real-world data problems shows admissions teams you’re not just a test-taker—you’re a problem-solver.

Look into:

• Regeneron Science Talent Search
• Google Science Fair
• Data Science for Social Good (DSSG) programs
• Kaggle competitions or local hackathons

Usually, applicants with exceptional contributions to a technical or scientific field tend to stand out—especially when their work has been recognized beyond the classroom.

5. Write killer essays that connect data to impact.

This is where you tie it all together. Don’t just say “I love data.” Show how you’ve used it—or want to use it—for real-world change. Maybe you’re passionate about climate change modeling, or you’ve been exploring bias in AI systems.

At Harvard or Stanford, for instance, the personal essay carries major weight. The best ones read like stories—not resumes—and clearly show why you belong at one of the best schools for data science.

Mention professors you admire or research labs you want to join. Show you’ve done your homework—and that you’d thrive there.

6. Choose the right major (and be flexible with your path).

A lot of schools offer multiple “on-ramps” to data science. You don’t always have to apply directly to a data science program—you can go through Computer Science, Statistics, Applied Math, or even Information Science, depending on the school.

For example:

• Cornell lets you explore data science via Information Science or CS.
• Harvard encourages a custom secondary field in data science, blending departments.
• UMich has both engineering and liberal arts tracks.

Strategy? Apply where your current strengths shine. If your stats are stronger than your coding background, maybe apply through a Stats program. Want to stand out? Talk about interdisciplinary curiosity—schools love that.

7. Don’t sleep on letters of recommendation.

According to NACAC’s 2023 State of College Admission report, teacher recommendations rank just behind grades and coursework in importance for selective schools. So yeah—they matter.

Your recommendation letters can be a secret weapon. Choose recommenders who really know your curiosity and capacity for data-driven thinking—especially teachers from your math, CS, or research classes.

Frequently Asked Questions

1. What are the best grad schools for data science in the US?

The schools included in this list—like UC Berkeley, MIT, Stanford, Carnegie Mellon, and Georgia Tech—also offer a master’s program for data science. Their graduate programs are also top-notch.

2. What is data science all about?

Data science is all about extracting meaningful insights from data to solve real-world problems. It combines statistics, computer science, and domain expertise to analyze complex data, uncover patterns, make predictions, and support decision-making.

3. What is a data science degree?

A data science degree is an academic program—usually offered at the bachelor’s, master’s, or doctoral level—that teaches you how to analyze, interpret, and extract insights from data using a mix of programming, math, and statistics. If you’re curious about how Netflix recommends shows, how companies predict market trends, or how hospitals detect health risks early, this degree is your gateway.

4. What is the average salary of data science graduates?

The estimated total pay for a Graduate Data Scientist is $132,264 per year, with an average salary of $102,776 per year.

Takeaways

• The best schools for data science are competitive, but they’re totally within reach if you play your cards right. Focus on building real-world experience, strong foundational skills, and applications that show both intellectual depth and social awareness.
• Some of the best schools for data science are UC Berkeley, MIT, Stanford, Carnegie Mellon, and Georgia Tech.
• If you’re interested in becoming a data scientist, our college admissions experts can help you craft a standout application tailored to your dream school.