Admissions Insights for Chinese Students - Peterson Global Education

Who are the Top 30 U.S. Universities

Princeton University

Massachusetts Institute of Technology

Harvard University
Stanford University

Yale University

University of Pennsylvania

California Institute of Technology

Duke University

Brown University

The Johns Hopkins University

Northwestern University

Columbia University

Cornell University

University of Chicago

University of California at Berkeley (Berkeley)

University of California at Los Angeles (UCLA)

Rice University

Dartmouth College

Vanderbilt University

The University of Notre Dame

University of Michigan

Georgetown University

University of North Carolina at Chapel Hill

Carnegie Mellon University

Emory University

University of Virginia

Washington University in St. Louis

University of California at Davis

University of California at San Diego

University of Florida

University of Southern California

Why are they so difficult to be admitted to?

There are lots of reasons. Below average-to-average students do not normally apply to Top 30 Universities. They understand that it is difficult for them to be accepted. And, even if accepted, once they enrolled it would be hard for them to handle the rigors of academic life.

Therefore, normally very good students apply to these universities. And good students take the hardest courses, get the best grades, do well on entrance exams like the SAT and TOEFL, and excel at their extracurricular activities. All of them.

To successfully apply to these universities takes more than hard work. It takes a plan, a strategy. And most important, it requires a thorough understanding of how these universities work, and what they look for in today's young people.

Will AI Gobble Up Your Major / Career?

Recently, in a speech I delivered in Beijing I answered this question. And my answers seemed well-received by the audience, so I wanted to share the highlights with you.

The Challenge you must take on!

- Acknowledge that “ranking and brand” still matters

- And accept the fact that AI was built to disrupt, and this will impact some industries more than others, like finance and computer science.

Therefore, the most important question you can ask in 2026 and beyond:

-Which universities are re-shaping their curriculums to graduate “AI literate” student regardless the major?

That naturally begs the question, what does “AI Literate” actually mean? AI literacy is not about becoming a programmer. Students need to learn three things in university:

Universities and employers define AI literacy this way:

1. Understands how AI Actually Works: What AI can and cannot do reliably and its societal impact.

2. Master the practical application skills including prompt engineering, ChatGPT, Claude, etc..

3. And learn Strategic Integration, which means how to apply AI to specific majors and careers. And especially yours.

In the next post let’s look at the steps you can take to “future-proof” you major and career!