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Top Universities in Machine Learning in United States: 58 Ranked Universities in 2026
Studyportals Meta Ranking, combining the world's leading rankings
Choosing the right university for Machine Learning studies in the United States can be a daunting task, especially for international students. To simplify this process, we have compiled a ranked list of Machine Learning universities in the United States, using a meta-ranking score. This score takes into account various factors such as academic reputation, faculty expertise, research output, and student satisfaction.
One crucial aspect to consider is the availability of online programmes. Currently, 44% of Machine Learning programmes in the United States are offered online. This flexibility allows students to pursue their studies while balancing other commitments.
Another important factor is the prevalence of Machine Learning programmes across universities in the United States. Approximately 9% of universities in the United States offer Machine Learning programmes. This widespread availability ensures that students have a diverse range of options to choose from.
When it comes to tuition fees, it's essential to be aware of the cost spectrum. The lower-end tuition fee for Machine Learning programmes for international students in the United States is around €434. On the higher end, the tuition fee can reach up to €60,855. However, the typical tuition fee for these programmes falls around €25,364, providing a benchmark for budgeting purposes.
By considering these factors and utilising the ranked list of Machine Learning universities in the United States, international students can make informed decisions about their academic journey in the field of Machine Learning.
Massachusetts Institute of Technology (MIT)
Carnegie Mellon University
University of Toronto
New York University
Columbia University
University of California, San Diego
University of Texas at Austin
University of Maryland
University of Southern California
MIP Politecnico Di Milano
Michigan State University
University of Florida
Cornell University
Yale University
Duke University
University of Wisconsin Madison
Pennsylvania State University
Brown University
Boston University
Northwestern University
Frequently Asked Questions
Yes, you can study Machine Learning online from universities in the United States. Many universities offer online programmes that are fully accredited and recognized. These programmes provide flexibility for students who may not be able to relocate or prefer a more flexible study schedule. To find online Machine Learning programmes, you can visit this page.
Yes, there are part-time Machine Learning programmes available in the United States. These programmes are designed for students who may be working or have other commitments. They allow students to balance their studies with other responsibilities. To explore part-time Machine Learning programmes, check out this link.
Yes, there are scholarships available for Machine Learning students in the United States. Scholarships can help cover tuition fees and living expenses. To find scholarships specifically for Machine Learning students, you can visit this page.
International students in the United States can work while studying, but there are specific rules and limitations. Students on an F-1 visa can work on-campus for up to 20 hours per week during the school term and full-time during breaks. Off-campus work is possible through Optional Practical Training (OPT) after completing their degree. For detailed information, visit this country guide.
The United States is home to some of the best Machine Learning universities in the world. Top institutions include Massachusetts Institute of Technology (MIT) in Cambridge, Carnegie Mellon University in Pittsburgh, and Stanford University in Stanford. These universities are renowned for their research and academic excellence in the field of Machine Learning. To see a full list of top universities, visit this ranking page.
The Studyportals University Meta Ranking is calculated by aggregating multiple ranking sources to provide a comprehensive comparison of universities. This ranking helps students compare Machine Learning programmes specifically in the United States and globally. It considers various factors such as academic reputation, employer reputation, and research output. For a detailed explanation, visit this article.