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Top Universities in Bioinformatics & Biostatistics in United States: 109 Ranked Universities in 2027
Studyportals Meta Ranking, combining the world's leading rankings
Choosing the right university for your Bioinformatics & Biostatistics studies in the United States can be a daunting task. To assist international students, we have compiled a ranked list of top universities using a meta-ranking score. This score takes into account various factors such as faculty expertise, research output, and student satisfaction.
It's worth noting that 13% of Bioinformatics & Biostatistics programmes in the United States are available online, providing flexibility for students who may have other commitments or prefer a remote learning experience.
When considering universities, it's important to look at the 16% that offer Bioinformatics & Biostatistics programmes. This gives you an idea of the availability and popularity of these programmes within the country.
Tuition fees can vary significantly, so it's crucial to consider your budget. The lower-end tuition fee for Bioinformatics & Biostatistics programmes in the United States is €10,694, while the higher-end fee is €60,106. The typical tuition fee falls around €27,148, giving you a general idea of what to expect.
By utilising our ranked list and considering these factors, you can make an informed decision when selecting a university for your Bioinformatics & Biostatistics studies in the United States.
George Washington University
Kansas State University
University of Kentucky
Florida State University
University at Buffalo
University of Kansas
Temple University
Virginia Commonwealth University
Louisiana State University
Indiana University Indianapolis
Georgia State University
Icahn School of Medicine at Mount Sinai
Georgia Institute of Technology
University of Minnesota
Oregon Health & Science University
The University of Texas Health Science Center at Houston
The University of Alabama at Birmingham
Carnegie Mellon University
University of Cincinnati
Saint Louis University
Frequently Asked Questions
Yes, you can study Bioinformatics & Biostatistics online from universities in the United States. Many institutions offer online programmes that are flexible and designed for students who need to balance studies with other commitments. These programmes often provide the same quality of education as on-campus courses. To find online programmes, you can visit this link.
Yes, there are part-time Bioinformatics & Biostatistics programmes available in the United States. These programmes are ideal for students who want to continue working while studying. Part-time options allow for a more flexible schedule. You can explore part-time programmes by visiting this link.
Yes, there are scholarships available for Bioinformatics & Biostatistics students in the United States. Scholarships can help cover tuition fees and living expenses. To find scholarships specifically for this field, you can visit this link. It's important to apply early and check eligibility criteria.
International students in the United States can work while studying, but there are specific rules. Typically, 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. It's important to understand the regulations to avoid any issues.
The United States is home to some of the best universities for Bioinformatics & Biostatistics. Top institutions include Harvard University in Cambridge and other renowned universities. These universities offer high-quality education and research opportunities. To find the best universities, visit this link.
The Studyportals University Meta Ranking is calculated by aggregating data from multiple reputable ranking sources. This method helps provide a comprehensive comparison of universities, specifically for fields like Bioinformatics & Biostatistics. The ranking considers various factors such as academic reputation, faculty quality, and research output. For a detailed explanation, visit this link.