What is the Average GMAT score for Columbia MSBA?

Question

T Mehta · Accepted Answer

The average GMAT score for Columbia&rsquo;s MS in Business Analytics isn&rsquo;t officially published, but based on admitted student data and reports from recent applicants, it typically falls in the 700&ndash;720 range. Strong candidates often have Quant scores in the 90th percentile or higher, which is important given the program&rsquo;s heavy quantitative focus.
Columbia&rsquo;s middle 80% GMAT range, according to multiple applicant reports, is roughly 690&ndash;740. A 700+ score signals strong academic readiness and can improve your chances for both admission and merit scholarships. Applicants with slightly lower scores have still been admitted when paired with high GPAs (3.6+/4.0 or 8.5+/10), relevant work experience in analytics, and solid evidence of programming or statistical skills. For international students, a high GMAT can also help stand out in a competitive pool and offset a lack of U.S. work experience.

Mansih K · Answer

Columbia doesn&rsquo;t set a GMAT cutoff for MSBA, but recent admit trends give a clear idea of what&rsquo;s competitive.
&bull; Average GMAT for successful applicants is estimated around 710, with many in the 700&ndash;730 range. &bull; Quant scores above 48/51 are common among admits, as the program&rsquo;s coursework is math-heavy. &bull; Most applicants submit the GRE, but around 25&ndash;30% of admitted students apply with the GMAT, often those with business or finance backgrounds. &bull; Applicants with strong technical backgrounds &mdash; in engineering, computer science, or math &mdash; sometimes get in with slightly lower scores if they have significant analytics experience. &bull; A high GMAT can improve scholarship chances, especially for merit-based awards from Columbia Engineering. &bull; If your score is below 700, balancing it with a strong SOP, relevant internships, and certifications in Python, SQL, or data analytics can still make you competitive.
For more details you can read this blog on "Columbia MSBA GMAT"

Jayant M · Answer

The average GMAT score for Columbia MSBA is generally reported in the 700&ndash;720 range, based on admitted student data and applicant experiences. While Columbia doesn&rsquo;t officially publish a fixed number, multiple reports suggest the middle 80% GMAT range is around 690&ndash;740. Hitting 700+ is considered competitive because of the program&rsquo;s technical rigor in statistics, machine learning, and optimization.
Applicants with Quant scores in the 90th percentile or above tend to stand out the most. That&rsquo;s especially valuable for international candidates, since a strong GMAT can offset less familiarity with U.S. grading systems or limited American work experience. While applicants with slightly lower scores have been admitted, pairing that with a strong GPA, analytics work exposure, or certifications in Python/SQL helps maintain competitiveness. For scholarships, higher GMAT scores often give an extra edge during evaluation.

V Ritik · Answer

Most people assume Columbia MSBA has a set GMAT cutoff, but that&rsquo;s not the case.
&bull; Recent applicant reports show the average GMAT score for Columbia MSBA hovers between 700 and 720. &bull; The middle 80% of admits usually fall in the 690&ndash;740 range, which means 700+ is the safer target. &bull; The admissions team pays special attention to Quant scores&mdash;90th percentile or higher is a strong signal of readiness for the program&rsquo;s math-heavy curriculum. &bull; Students with lower GMATs (say mid-600s) have still made it in, but they usually show higher GPAs, strong internships, or work experience in analytics. &bull; International students benefit the most from being at the upper end of the range since it balances out unfamiliar undergrad grading scales.
So while Columbia MSBA doesn&rsquo;t publish an official GMAT average, aiming for 700+ puts you in the most competitive position.