What GRE score is needed for MS in DS?

Question

Darak Sarita · Accepted Answer

Interested in an MS in Data Science? Well, for Data Science programs, GRE scores are looked at closely, particularly the quantitative section. A score of 160 or above is often seen as competitive, but don't underestimate the value of a balanced score across all sections. It's also worth noting that many programs emphasize a holistic view of applicants. 
This means your GRE score is important, but so are your academic achievements, work experience, and a personal statement like for MS in DS in USA if you are looking for then its necessary to check the eligibility & requirements for the same. Every element of your application tells a story about your potential. Be sure to research the specific requirements and average scores of your target programs. And remember, a strong application is a comprehensive one!
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XAVIAR X · Answer

When considering the GRE scores required for a Master&rsquo;s in Data Science (MS in DS), it's crucial to understand that admissions criteria can vary significantly between institutions. However, aiming for a competitive score will undoubtedly enhance your application profile. Typically, you should strive for a combined GRE score in the upper 75th percentile, which usually translates to 320 or above.
Quantitative Section: For data science specifically, the quantitative score is paramount. Most top programs expect a score in the 160-170 range. This reflects your aptitude in handling the mathematical and statistical demands of the course.
Verbal and AWA Sections: While the focus is often on quantitative skills, don't underestimate the importance of verbal communication and analytical writing. A balanced GRE score with at least 150 in the verbal section and 4.0 or higher in analytical writing can position you as a well-rounded candidate.
Beyond the Scores: Program-specific requirements: Some programs might have specific cutoffs or prefer students with particular quantitative prowess. Always check the specific requirements of the data science program to which you are applying.
Portfolio and Experience: Alongside your GRE scores, having a robust portfolio of relevant projects or research can significantly boost your application. Real-world experience or demonstrable skills in programming, data analysis, or machine learning are often just as crucial as your test scores. Finally, while a high GRE score can significantly enhance your application, it&rsquo;s one of many factors considered during admissions. Strong letters of recommendation, relevant work experience, and a well-crafted statement of purpose are equally important in showcasing your suitability for an MS in Data Science.