{"id":34958,"date":"2025-01-24T09:30:02","date_gmt":"2025-01-24T14:30:02","guid":{"rendered":"https:\/\/www.mbamission.com\/blog\/?p=34958"},"modified":"2025-01-24T09:31:52","modified_gmt":"2025-01-24T14:31:52","slug":"how-to-boost-your-quant-profile-before-applying-to-mba-programs","status":"publish","type":"post","link":"https:\/\/www.mbamission.com\/blog\/how-to-boost-your-quant-profile-before-applying-to-mba-programs\/","title":{"rendered":"How to Boost Your Quant Profile Before Applying to MBA Programs"},"content":{"rendered":"\n

Aspiring MBA students frequently ask us, \u201cDo I have a strong enough quantitative background to get accepted to a top business school?\u201d The leading MBA programs indeed have high academic standards, and quant skills are crucial to all business fields, so the concern is valid. However, by planning ahead and employing a few key tactics, candidates with less robust quant backgrounds should not have any reason to forgo applying to their dream programs. <\/span><\/p>\n\n\n\n

But first, <\/span>why<\/span><\/i> are quantitative skills so crucial for MBAs? <\/span><\/h2>\n\n\n\n

Business schools want to ensure that their incoming students are data savvy and will not struggle to keep up with the material (or their classmates) in rigorous quantitative classes. Much of the core MBA curriculum involves understanding and analyzing data. For instance, Columbia Business School\u2019s first-year core curriculum includes courses such as \u201cBusiness Analytics\u201d and \u201cCorporate Finance,\u201d and the Wharton School\u2019s core includes \u201cStatistics: Regression Analysis for Managers.\u201d Applicants often ask us, \u201cWhat if I am applying to a business school that is not quantitatively rigorous?\u201d But this is never the case\u2014an MBA program that is light on quantitative work simply does not exist! They all entail demanding quantitative subjects.<\/span><\/p>\n\n\n\n

Thinking ahead, business schools also want applicants who can apply the quantitative skills they learn in the classroom to real-world business problems and who will be marketable to recruiters. For candidates whose post-MBA career goals involve working in a field such as management consulting, finance, or private equity, quantitative skills are particularly a must, but fields such as marketing, product management, and business development are increasingly data-driven. You would be hard-pressed to find a post-MBA profession that does not require using quantitative tools to evaluate problems or forecast behavior.<\/span><\/p>\n\n\n\n

The bottom line is that all MBA applicants must prove their quantitative aptitude. This is easy for applicants who majored in mathematics, finance, or engineering; who work in a field such as data science or investment banking; or who aced the Quantitative section of their standardized test. But if this is not you, and topics such as \u201cregression\u201d send you into a panic, here are our four ways to boost your quantitative profile before applying to business school.<\/span><\/p>\n\n\n\n

1. Start early with standardized testing.<\/span><\/h3>\n\n\n\n

This key part of your application is still primarily within your control (unlike your GPA, which you cannot change), so give yourself plenty of time to study thoroughly and take several practice exams. Getting an early start also gives you time to retake the exam if you do not achieve your target score on the first try (schools will always consider your highest score). You should strive to reach a high overall score\u2014as close to your target program\u2019s average as possible, if not higher\u2014while showing a minimum level of competence in the Quantitative section. To demonstrate the necessary level of quantitative acumen, you would need a Quantitative subsection score of at least 46 on the \u201cclassic\u201d (10th Edition) GMAT, at least 79 on the current GMAT, 163 on the GRE, or 11 on the Executive Assessment (EA) for top U.S. programs. And if you are unsure about which standardized test best fits you, check out our video \u201c<\/span>GMAT vs. GRE vs. EA: Which Test Should I Take for Business School?<\/span><\/a>\u201d<\/span><\/p>\n\n\n\n

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