25 Best Data Science Schools In The US

Want to know more about the Best Data Science Schools In the US and make an informed decision? Here is a good place to start.

Many students are interested in pursuing a degree in data science at a top school in the United States.

However, with several options available, it is difficult to know which schools offer the best data science programs. Today, we will explore the top data science schools in the US.

Whether you’re a current student or a working professional looking to advance your career, this article will provide valuable insights into the best data science schools in the country.

Please note that schools are selected based on our criteria (at the end of the article), ranked by the latest acceptance rate. 

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#25. Saint Joseph’s University

• Acceptance rate: 83%
• Average entry score: 1060-1250 SAT or 24-27 ACT
• Student-to-faculty ratio: 12:1
• Estimated cost of attendance (tuition and fees): $65,105
• Average earning potential for graduates: $48,500 (College Simply)

Saint Joseph’s University offers data science programs to help students develop the computing skills needed to excel in today’s data-driven workplace.

The university’s data science program focuses on teaching students how to collect, analyze and interpret large amounts of data using statistical modeling techniques. 

In addition to its core data science program, SJU offers advanced courses in computer science and business intelligence.

#24. University of California, Los Angeles

• Acceptance rate: 80%
• Average entry score: 3.5 GPA
• Student-to-faculty ratio: 9 to 1
• Estimated cost of attendance (tuition and fees): $34,667-$63,669
• Average earning potential for graduates: $75,000-$110,000 (Comparably)

Besides being one of the top public universities in the world, UCLA is also known for its strong data science program. The master of engineering program in data science is designed for students with bachelor’s degrees in engineering, computer science or a similar field.

This program includes core courses covering machine learning, data mining and databases. Students also take classes in statistics, probability theory, and programming languages. The curriculum provides students with a solid foundation in the systems used for high-performance computing, cloud computing and big data analytics.

These graduates command a competitive edge in the job market, as well as the opportunity to enter a Ph.D. program. UCLA also offers a foundational self-paced certificate course in data science for those without formal coursework in computer science, engineering or statistics.

#23. The Ohio State University

• Acceptance rate: 64.5%
• Average entry score: 1250-1440 SAT or 26-32 ACT
• Student-to-faculty ratio: 19 to 1
• Estimated cost of attendance (tuition and fees): $39,811.58-$40,811.58
• Average earning potential for graduates: $70,000 (OSU)

Ohio State is one of the most prestigious universities in the country, with a large and diverse student body. The school offers a data analytics major to prepare undergraduates for careers in data science, as well as graduate-level programs that allow students to pursue a Ph.D. in the field.

Because of the multidisciplinary approach, Ohio State students receive a solid foundation in mathematics, statistics, computer science, and other disciplines. The program also offers opportunities to collaborate with faculty members from across campus who are experts in data analytics.

Companies prefer to hire graduates from top universities with strong academic records. The Ohio State University has a reputation for sending its students into the workforce ready to contribute to projects and careers. Graduates from the program are well-equipped to enter careers in business, government, and industry.

#22. Texas A&M University

• Acceptance rate: 64%
• Average entry score: 146 GRE or 22 GMAT
• Student-to-faculty ratio: 21 to 1
• Estimated cost of attendance (cost of attendance exclusive of living expenses): $26,268-$42,675
• Average earning potential for graduates: $58,239-$130,000 (College Simply)

Texas A&M University has top-ranked undergraduate and graduate programs in data science. The programs offer an interdisciplinary degree. This combines courses in the sciences, business, and computer science to foster a holistic approach to data science. 

Graduates of the program have a broad understanding of data science, as well as industry-specific knowledge. These skills help graduates get jobs in business intelligence, cybersecurity, and more. 

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#21. University of Wisconsin–Madison

• Acceptance rate: 60.4%
• Average entry score: 1480 SAT or 32 ACT
• Student-to-faculty ratio: 17 to 1
• Estimated cost of attendance (tuition and fees): $10,796-$39,427
• Average earning potential for graduates: $76,900 (College Simply)

The data science major at the University of Wisconsin–Madison is a unique interdisciplinary program that provides students with the tools needed to analyze data and solve problems. Students learn how to collect, store, manage, and analyze data in order to make decisions about future outcomes.

The program emphasizes developing technical skills in software development as well as statistical computing. UW-Madison’s statistics department administers a master’s degree in data science aimed to further the skills and knowledge of students who have already completed a bachelor’s degree in the field.

#20. Purdue University–West Lafayette

• Acceptance rate: 60%
• Average entry score: 1190-1430 SAT or 26-33 ACT
• Student-to-faculty ratio: 14 to 1 
• Estimated cost of attendance (tuition and fees): $23,062-$41,864
• Average earning potential for graduates: $90,155 (Purdue)

Purdue University is well-known for their commitment to creating a community that is welcoming and inclusive of all students, no matter their background. This conducive learning environment fosters a student-centered culture where everyone has the opportunity to succeed.

Data science students particularly benefit from this approach, as they take advantage of Purdue’s friendly community to form connections with other students and faculty members. These connections are often a crucial part of a student’s success, providing them with mentorship opportunities and career advice.

The data science program itself is a blend of traditional and modern approaches, with a heavy focus on theory and modeling. Students learn the basics of machine learning, statistics, data mining, and other disciplines to understand how to apply these concepts in real-world situations.

#19. University of Washington

• Acceptance rate: 53.5%
• Average entry score: 3.0 GPA
• Student-to-faculty ratio: 11 to 1
• Estimated cost of attendance (tuition and fees): $48,825
• Average earning potential for graduates: $131,069 (Glassdoor)

The University of Washington offers a flexible data science certificate that provides you with the necessary skills to enter into a data science career. With this program, you can study online or in the evening. This way, you can continue to work and earn money as you study.

But it is the master’s in data science that is the most prestigious and will help you land a high-paying job. 

The data science master’s degree program will give you the skills employers are looking for, including: Statistical analysis, machine learning and artificial intelligence. You can also learn how to use programming languages such as Python, R and SAS.

#18. University of Illinois at Urbana-Champaign

• Acceptance rate: 42.7%
• Average entry score: 1210-1470 SAT or 27-33 ACT
• Student-to-faculty ratio: 20 to 1
• Estimated cost of attendance (tuition and fees): $35,210-$61,872
• Average earning potential for graduates: $60,758-$107,000 (Glassdoor)

UIUC combines data science with astronomy, accounting, finance, and information sciences to bring you a range of undergraduate degrees. These programs are designed to give students a broad understanding of the field, including its applications. 

Graduates can go on to work in industries such as insurance or finance, where their skills will be highly valued.

Besides these undergraduate degrees, you can also enroll for a master’s degree in data science. The good thing is that the master’s program is entirely online, so you don’t have to move to Illinois. 

And with a degree from UIUC, you’ll be ready to take on the world. Especially now that we are witnessing a digital transformation in every industry, data science is becoming a sought-after skill.

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#17. University of California, San Diego

• Acceptance rate: 37%
• Average entry score: 1270-1480 SAT or 28-34 ACT
• Student-to-faculty ratio: 19 to 1
• Estimated cost of attendance (tuition and fees): $48,943 
• Average earning potential for graduates: $140,761 (Comparably)

UC San Diego offers two popular data science graduate programs: a Master of Science in Data Science and an MS in advanced Data Science. Both programs are designed to provide students with the skills necessary for careers in data science.

The difference between the two programs is in their mode of delivery. The Master of Science in Data Science program is fully online, while the MS in advanced Data Science is delivered on-campus. 

But both programs have a well-rounded curriculum that covers the breadth of data science, including machine learning, natural language processing, artificial intelligence and more.

UC San Diego graduates are ready to enter the data science field. Their skills and experience set them apart from other graduates, and they’re prepared to hit the ground running. 

#16. University of California, Irvine

• Acceptance rate: 28.8%
• Average entry score: 1310 SAT
• Student-to-faculty ratio: 18 to 1
• Estimated cost of attendance (tuition and fees): $13,985- $43,739
• Average earning potential for graduates: $47,500-$280,000 (Comparably)

The University of California, Irvine, imparts students with a deep understanding of data science. This program’s curriculum is designed to equip students with the skills necessary for solving real-world problems.

Students gain an interdisciplinary education that incorporates expertise from computer science, statistics, business administration and mathematics. UCI graduates have a reputation for being among the best in their field.

Many of the school’s graduates have gone on to work at top companies such as Google and Facebook. The university boasts a large number of alumni who are currently working in data science. 

#15. Georgia Institute of Technology

• Acceptance rate: 16%
• Average entry score: 1360-1540 SAT or 31-35 ACT
• Student-to-faculty ratio: 21 to 1
• Estimated cost of attendance (tuition and fees): $31,898-$53,010
• Average earning potential for graduates: $66,152-150,000 (Glassdoor)

Georgia Tech offers a hybrid analytics degree that brings out the best in data analytics and science. This unique blend of education and training allows students to develop a strong foundation in math, science and technology. 

The program is designed to help students learn how to collect, manage and analyze data efficiently while also understanding the ethical, legal and social implications of data science.

These graduates are prepared to enter a variety of careers, including those in the fields of computer science, human-computer interaction and business. Graduates will also be eligible to pursue an advanced degree in data analytics at Georgia Tech or another institution.

What’s it like to study data science at Georgia Tech?

#14. University of California, Berkeley

• Acceptance rate: 14.4%
• Average entry score: 1530 SAT
• Student-to-faculty ratio: 20 to 1
• Estimated cost of attendance (tuition and fees): $41,878-$71,632
• Average earning potential for graduates: $172,083 (Comparably)

UCB focuses on an interdisciplinary approach to data science. This institution brings together several departments to offer an integrated curriculum. The B.A program aims to train students in the fundamentals of computer science, statistics, data visualization and machine learning.

This school’s online master’s program takes into consideration the needs of working professionals who want to further their careers in data science. Students can also opt for the on-campus programs to benefit from the university’s renowned faculty and state-of-the-art facilities.

UCB’s data science programs impart students with the tools and knowledge needed for a career in the field of data science. The return on investment of a UCB data science degree is high, as it provides students with the knowledge and skills that are in demand in today’s job market.

What’s it like to study data science at UC Berkeley?

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#13. Carnegie Mellon University

• Acceptance rate: 13.5%
• Average entry score: 1480-1560 SAT or 33-35 ACT
• Student-to-faculty ratio: 10 to 1
• Estimated cost of attendance (tuition and fees): $77,474
• Average earning potential for graduates: $148,015 (Glassdoor)

Carnegie is a world leader in education, research and innovation. The university has been recognized by U.S. News & World Report as one of the top 20 universities in the nation for its programs. Carnegie Mellon education is designed to help you develop your full potential in a world that is constantly changing.

Data science students acquire the skills to analyze, model and manage big data. Classes are taught by leading faculty members who bring real-world experience to the classroom.

The curriculum is designed to prepare students for a wide variety of careers in business analytics, data science and cybersecurity. Students have access to state-of-the-art facilities that offer hands-on learning opportunities through projects that utilize real industry data sets.

What’s it like to study data science at Carnegie Mellon University?

#12. University of Pennsylvania

• Acceptance rate: 9.8%
• Average entry score: 730 GMAT
• Student-to-faculty ratio: 6 to 1
• Estimated cost of attendance (tuition and fees): $83,298
• Average earning potential for graduates: $92,007 (Glassdoor)

Penn boasts a world-class program in data science, with a curriculum that offers students the opportunity to earn both a bachelor’s and master’s degree in the field. Undergraduates enjoy a dynamic curriculum that blends data science with courses in business, engineering, and statistics.

Penn’s MSE degree (Master of Science in Engineering) particularly caters to students who are interested in engineering, technology, and science. 

The program offers a curriculum that is tailored to fit the needs of students in these fields. Graduates command higher salaries and are poised for future growth in the industry.

#11. Cornell University

• Acceptance rate: 8.7%
• Average entry score: 1400-1560 SAT or 33-35 ACT
• Student-to-faculty ratio: 9 to 1
• Estimated cost of attendance (tuition and fees): $80,337
• Average earning potential for graduates: $83,000 (Cornell) 

Cornell University offers data science degree programs that will give you a solid foundation for your career. 

The university has a long history of excellence in research and education and is ranked among the top 20 public universities in the United States.

If you are interested in enhancing your skillset with data science courses, then Cornell University is the best place for you. Graduates from the program can analyze large amounts of data, extract meaningful information, and present it in an understandable format. 

#10. Northwestern University

• Acceptance rate: 7%
• Average entry score: 1460-1560 SAT or 33-35 ACT
• Student-to-faculty ratio: 6 to 1
• Estimated cost of attendance (tuition and fees): $58,860
• Average earning potential for graduates: $15,000-$101,410 (Grad Reports)

With its cutting-edge curriculum, competitive tuition rates, and unique learning environment, NYU offers students the opportunity to gain the skills and knowledge they need to succeed in the field while providing a strong investment return.

NYU’s data science gives students the tools to deploy a cutting-edge computational approach to understanding phenomena in human health, city planning, and consumer behavior.

Students who complete the program can apply their knowledge to various industries, from healthcare to finance to media. 

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#9. Harvard University

• Acceptance rate: 6.5%
• Average entry score: 3.0-4.0 GPA
• Student-to-faculty ratio: 16 to 1
• Estimated cost of attendance (tuition and fees): $29,984-$59,968
• Average earning potential for graduates: $42,000-$235,000 (Comparably)

As data science becomes more pervasive, so does the need for qualified professionals. Harvard University’s Master of Science in Data Science program prepares students to enter the field with a strong foundation in data science theory and practice.

The institution’s school of engineering developed the program in response to data science’s growing importance. The curriculum includes courses on machine learning, data mining and statistics. Students also have opportunities to work on research projects with faculty members.

Graduates of this program work in finance, health care, technology and government. They have also pursued doctoral degrees in related fields.

#8. Duke University

• Acceptance rate: 5.8%
• Average entry score: 315 GRE
• Student-to-faculty ratio: 6 to 1
• Estimated cost of attendance (tuition and fees): $72,542
• Average earning potential for graduates: $91,960 (Glassdoor)

Duke University is known for its rigorous academics, experienced faculty, and top-notch facilities. This university houses one of the nation’s prestigious data science programs. 

The Master of Science in Data Science program at Duke was developed by faculty members with expertise in statistics, machine learning, computer science—and other areas essential to data science.

Overall, Duke University produces well-rounded data science professionals who are ready for a wide range of careers and can adapt to new challenges as they arise. 

The university has a long history of producing highly-skilled graduates who are able to create new technologies, solve problems, and help people better understand their world.

#7. Columbia University

• Acceptance rate: 5.8%
• Average entry score: 3.8 GPA
• Student-to-faculty ratio: 6 to 1
• Estimated cost of attendance (tuition and fees): $50,000-$85,967
• Average earning potential for graduates: $104,198 (Glassdoor)

Columbia University offers a certificate, master’s, and Ph.D. in data science to students at all levels. The program is designed to be flexible, with a curriculum that can be tailored to students’ needs.

Students will learn about data science applications in business and healthcare, as well as how to use Python, R and Scala for data analysis.

According to the university website, data science graduates currently occupy positions in big companies like Amazon. These professionals are in high demand and have a median salary of about $115,000.

#6. Yale University

• Acceptance rate: 5.3%
• Average entry score: 1560 SAT or 35 ACT
• Student-to-faculty ratio: 6 to 1
• Estimated cost of attendance (tuition and fees): $64,700
• Average earning potential for graduates: $70,000-150,000 (Yale)

This prestigious university boasts a wealth of resources for aspiring data scientists. The Department of Statistics and Data Science prepares students for data-centric careers. 

At Yale, students can earn a certificate, bachelor’s, and master’s degree in statistics and data science. The curriculum gives students an in-depth understanding of statistics, computer science, and data science.

Graduates have the skills and knowledge to pursue careers in data science. Their high salaries reflect the value of their skill set. Many employers are willing to pay a premium for data scientists.

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#5. University of Michigan–Ann Arbor

• Acceptance rate: 5.3%
• Average entry score: 3.0 GPA
• Student-to-faculty ratio: 15 to 1
• Estimated cost of attendance (tuition and fees): $32,272-69,326
• Average earning potential for graduates: $50,000-$157,686 (Glassdoor)

More than 4 departments come together to offer students a comprehensive education in data science. The data science program at the University of Michigan–Ann Arbor is designed to give students a holistic understanding of data science. 

The curriculum covers statistics, computer science and engineering, business, economics, cognitive science and psychology.

The University of Michigan–Ann Arbor produces industry-ready data science graduates who understand the needs of business and industry. Equipped with marketable skills, data science graduates are prepared to take on the challenges of the data-driven economy.

#4. Princeton University

• Acceptance rate: 4.4%
• Average entry score: 3.3 GPA
• Student-to-faculty ratio: 5 to 1
• Estimated cost of attendance (tuition and fees): $79,540
• Average earning potential for graduates: $62,056-$124,275 (Glassdoor)

Princeton University is another top-tier university that offers a data science-related degree program. The school’s data science-focused master’s degree in statistics and machine learning is taught by world-renowned professors. Students enrolled in this program benefit from Princeton’s modern learning facilities and friendly faculty.

Plus, the university’s large alumni network makes it easier for graduates to find jobs in their fields. Princeton education is renowned for its rigor, challenging students to think critically and creatively. As a result, students in the program learn how to apply data science to solve real-world problems.

#3. Massachusetts Institute of Technology

• Acceptance rate: 4.1%
• Average entry score: 1510-1580 SAT or 34-36 ACT
• Student-to-faculty ratio: 3 to 1
• Estimated cost of attendance (tuition and fees): $77,570
• Average earning potential for graduates: $132,612 (Comparably)

MIT Data Science is widely recognized as one of the best data science programs in the country. It’s also one of the most selective schools in America, admitting only 5 percent of applicants each year. The program also offers online degrees in data science, so it’s an option for students who don’t want to relocate.

Career-wise, graduates of the program are well-positioned for careers in data science, analytics and artificial intelligence. According to Payscale, the average salary for a data scientist is $98,602 per year. Therefore, the investment in a data science degree from MIT is likely to pay off in the long run.

What’s it like to study data science at MIT?

#2. California Institute of Technology

• Acceptance rate: 3.9%
• Average entry score: 1530-1580 SAT or 35-36 ACT
• Student-to-faculty ratio: 3:1
• Estimated cost of attendance (tuition and fees): $79,947
• Average earning potential for graduates: $107,517 (Glassdoor)

Caltech offers data science programs to give students the tools and knowledge to solve technical problems. Most students prefer the school’s data analytics BootCamp program, which provides hands-on experience.

Simplilearn, IBM, and Caltech come together to provide a comprehensive and in-depth data science education that is tailored to the needs of professionals. This program trains students to become data scientists, equipping them with the skills and knowledge needed for emerging technologies like artificial intelligence.

Caltech’s certificate course is the ideal place to start your career in data science. It’s a unique opportunity to learn about data analysis and statistical principles. This program will help you develop a solid foundation in machine learning, big data analytics, and other topics relevant to data scientists.

#1. Stanford University

• Acceptance rate: 3.9%
• Average entry score: 1440-1570 SAT or 34-35 ACT
• Student-to-faculty ratio: 5 to 1
• Estimated cost of attendance (tuition and fees): $78,898
• Average earning potential for graduates: $125,000 (Comparably)

Stanford is one of the schools offering the best undergraduate degree in data science. This program allows students to focus on data science and the business aspects of technology. 

The institution’s other data science courses also emphasize the importance of data literacy in the modern world. Students will learn how to use big data and analytics effectively, as well as understand how businesses use technology to make decisions.

The program is taught by faculty members who are leading researchers in their fields. Students will have the opportunity to work with faculty members on projects and will have access to data science centers, research labs and training facilities. 

What’s it like to study data science at Stanford University?

Conclusion

Pursuing a degree in data science at a top US school can be an excellent investment in one’s future career. The top schools in this field offer rigorous curricula, diverse research opportunities, and access to the latest tools and technologies. 

Graduates of these programs are in high demand and can expect strong job prospects and competitive salaries.

While attending a top data science program can be expensive, many schools offer financial aid and other funding opportunities to help make the investment more affordable. For those interested in data science, pursuing a degree from a top school is a smart investment.

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Selection Criteria

Here is a list of the factors we considered when selecting the best data science schools:

Please note that the order in this list might vary by ranking criteria and sources.

1. Reputation and ranking of the school: We looked for schools that have a strong reputation and high ranking in the field of data science.
2. Faculty expertise, qualifications, and specialization: We researched the faculty members and their areas of expertise, and qualifications to ensure that the school has professors with relevant expertise and specialization in the areas of data science that are of interest.
3. Curriculum and resources: We evaluated the curriculum to ensure it aligns with students’ interests and career goals and considered the quality of the school’s facilities and resources, such as labs, equipment, and libraries.
4. Opportunities for hands-on learning and research: We looked for schools that provide opportunities for hands-on experience through internships, co-op programs, or fieldwork.
5. Student support services and alumni network: We considered the availability of support services and the strength of the alumni network in providing mentorship, internships, and job opportunities after graduation.
6. Extracurricular activities and diversity: We evaluated the availability of extracurricular activities and clubs that align with students’ interests and considered the school’s diversity and inclusivity.
7. Networking and post-graduation support: We researched the school’s network of alumni and their post-graduation support for data science students, and also considered if the schools have a strong network of industry professionals and researchers in the field of data science.

Frequently Asked Questions

Q1. What are the top data science schools in the US?

There are many excellent colleges and universities where one can study data science. Some of the most well-known and highly ranked include the Massachusetts Institute of Technology (MIT), Stanford University, Carnegie Mellon University, University of California, Berkeley, and Harvard University.

Q2. What are the admission requirements for data science programs at top US schools?

The admission requirements for data science programs at top US schools vary, but most require a bachelor’s degree and transcripts.

Schools also ask for standardized test scores (such as GRE or GMAT), letters of recommendation, and a personal statement about your experience with data analytics. Some schools may also require a minimum GPA or specific math or computer science coursework.

Q3. How much does it cost to attend a top data science school in the US?

Data science programs at leading universities can cost tens of thousands of dollars each year. Tuition for a master’s degree in data science at a top school can run around $30,000 to over $70,000 per year. 

However, many schools offer financial aid, scholarships, and other funding opportunities to help offset these costs.

Q4. What are the job prospects for graduates of data science programs at top US schools?

Graduates of data science programs at top US schools have strong job prospects as the demand for data scientists continues to grow in a variety of industries.

Some common career paths for data science graduates include data analyst, data scientist, machine learning engineer, and business analyst. The following article will completely summarize the highest-paying data science jobs.

Q5. What is the curriculum like for data science programs at top US schools?

The curriculum for top US schools’ data science programs typically includes coursework in statistics, computer science, machine learning, data visualization, and other relevant topics. Many programs also include opportunities for hands-on research or practical experience through internships or capstone projects.

References

[1] Official Websites 

[2] Salary Data from Glass Door, College Factual; College Simply, Zippia

[3] Ranking references including news media such as Best Undergraduate Data Science Programs and Best Master’s in Data Science Programs in 2022-23.