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Top Universities in Data Analytics in United States: 89 Ranked Universities in 2027

Studyportals Meta Ranking, combining the world's leading rankings

For international students considering a Data Analytics programme in the United States, understanding the landscape is crucial. With a meta-ranking score, you can compare universities based on various factors. Notably, 54% of Data Analytics programmes are available online, offering flexibility for students worldwide. Additionally, 23% of universities in the United States provide Data Analytics programmes, indicating a robust educational landscape. Tuition fees vary, with the lower end at €7,357, the higher end at €62,003, and the typical fee around €23,589. This range allows students to find a programme that fits their budget while pursuing their academic goals in Data Analytics.

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Michigan Technological University

Houghton, United States •4,129 Reviews
#841
Data Analytics Worldwide
•Top 15% Global Rank
38 Masters On-campus Online

San Diego State University

San Diego, United States •4,544 Reviews
#891
Data Analytics Worldwide
•Top 15% Global Rank
114 Masters On-campus Online

New Mexico State University

Las Cruces, United States •4,85 Reviews
#894
Data Analytics Worldwide
•Top 15% Global Rank
92 Masters On-campus Online

University of Texas El Paso

El Paso, United States •4,221 Reviews
#910
Data Analytics Worldwide
•Top 15% Global Rank
78 Masters On-campus Online

London School of Economics and Political Science

Los Angeles, United States +10•4,371 Reviews
#986
Data Analytics Worldwide
•Top 2% Global Rank
163 Masters On-campus Online

University of South Carolina

Columbia, United States •3,77 Reviews
#990
Data Analytics Worldwide
•Top 6% Global Rank
152 Masters On-campus Online

Portland State University

Portland, United States •4,150 Reviews
#1036
Data Analytics Worldwide
•Top 15% Global Rank
110 Masters On-campus Online

Texas State University

San Marcos, United States •4,121 Reviews
#1060
Data Analytics Worldwide
185 Masters On-campus Online

edX - online learning platform

Portland, United States •4,312 Reviews
#1136
Data Analytics Worldwide
5 Masters

Frequently Asked Questions

  • Yes, you can study Data Analytics online from universities in the United States. Many institutions offer fully online programmes that allow you to study from anywhere in the world. These programmes are designed to be flexible, allowing you to balance your studies with other commitments. To find online Data Analytics programmes, you can visit this page.

  • Yes, there are part-time Data Analytics programmes available in the United States. These programmes are ideal for students who need to balance their studies with work or other responsibilities. You can find part-time Data Analytics programmes by visiting this page.

  • Yes, there are scholarships available for Data Analytics students in the United States. Scholarships can help cover tuition fees and living expenses, making it more affordable to study in this destination. To find scholarships specifically for Data Analytics students, you can visit this page.

  • International students in the United States can work while studying, but there are specific rules and limitations. You can work on-campus for up to 20 hours per week during the academic term and full-time during breaks. Off-campus work is possible through Optional Practical Training (OPT) after completing your degree. For detailed information, visit this country guide.

  • The top universities for Data Analytics in the United States include the University of California, Berkeley in Berkeley, Massachusetts Institute of Technology (MIT) in Cambridge, and Carnegie Mellon University in Pittsburgh. These institutions are renowned for their strong programmes and research in the field. To explore more top universities, visit this page.

  • The Studyportals University Meta Ranking is calculated by aggregating multiple ranking sources to provide a comprehensive comparison of universities. This ranking helps you compare Data Analytics programmes specifically in the United States and globally. For a detailed explanation of the methodology, visit this page.

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