Which Tier of Data Science Programs Can You Get Into? Stanford, Harvard, Yale, Columbia, NYU

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As a popular direction for U.S. master's applications, data science is becoming increasingly competitive. To this end, CheersYou(清柚教育) has systematically analyzed the application tiers and admission thresholds of data science master's programs at top 40 U.S. universities, combining U.S. News rankings, to help international students clearly understand the application requirements of different tiers and pinpoint their school selection goals. By sharing real admission cases covering various U.S. undergraduate backgrounds, majors, and qualifications, the article visually demonstrates actual admission standards from top schools like Stanford and Harvard to popular ones like Columbia and NYU. Students considering data science programs are advised to use these cases to evaluate their competitiveness, and are welcome to contact CheersYou(清柚教育) anytime for personalized school selection planning and application guidance.

Data Science has always been a hot direction for U.S. data-related master's applications.

 

Based on U.S. News rankings, CheersYou(清柚教育) has summarized the frequently applied programs in the Top 40

 

 

Students can assess their own profiles based on the following cases, or scan the QR code below to add a CheersYou(清柚教育) consultant for consultation~

 

 

U.S. undergraduate Top 40
DS
GPA: 3.9+
GRE: 330+
3 internships, 1 research
Admitted: Stanford, Harvard, Columbia, UPenn, NYU, USC

 

U.S. undergraduate Top 20
CS
GPA: 3.8+
GRE: 320+
1 internship, 1 research
Admitted: Columbia, UPenn, Brown, JHU

 


U.S. undergraduate Top 60
Applied Math
GPA: 3.6+
GRE: 320+
2 internships, 3 research
Admitted: Columbia, Brown, Tufts

 

U.S. undergraduate Top 40
CSE
GPA: 3.4+
GRE: 315+
2 internships
Admitted: GU, Fordham, Rochester-BA

 

For more application details, scan the QR code below to get in touch with CheersYou(清柚教育)~