Columbia Data Science Masters Acceptance Rate

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The Columbia Data Science Masters Acceptance Rate is 28%.

Columbia University’s Master of Science in Data Science program has an acceptance rate of 28% according to data from the Graduate School of Arts and Sciences.

The program offers a unique blend of technical training and business expertise, which makes it ideal for students who want to work at the intersection of technology and business. The curriculum is designed around four themes: computer science, statistics, business/entrepreneurship, and information management/systems. Students learn how to use cutting-edge technologies like machine learning, data visualization, and artificial intelligence (AI) in real-world settings.

Columbia University’s Master of Science in Data Science program boasts a number of notable alumni including Airbnb co-founder Joe Gebbia (who also attended Yale University), LinkedIn co-founder Reid Hoffman (who also attended Stanford University), and Reddit co-founder Alexis Ohanian (who also attended the University of Virginia).

Columbia Data Science Masters Acceptance Rate


We do not recommend applying to Columbia University. And if you do, we think it’s important that you know what your odds are. You might be one of the lucky few who get in, but the data doesn’t look good for you.

Columbia Data Science Masters Acceptance Rate

Columbia has a low acceptance rate. Columbia accepts fewer applicants than other Ivy League schools, with an acceptance rate of just 19%. That’s an average of about 800 students per year for the entire program.

Columbia is a highly selective school. Columbia is a highly competitive school—it’s one of the most selective in the country, and it has one of the lowest acceptance rates in all of higher education (only two or three other colleges accept fewer students). Data Science is no exception: data science master’s degree candidates are selected from a pool that consists mostly of doctoral students at top research universities around the world who want to gain practical experience while continuing their studies at another institution. The selection process is rigorous and requires both excellent academic credentials and strong technical skills relevant to data science research (e.g., proficiency in Python).

Columbia offers several opportunities for prospective students who wish to learn more about applying to its programs before taking another step toward admission into these prestigious institutions; visit their website for more information on application deadlines and requirements!

What is the acceptance rate for Columbia?

The acceptance rate is calculated by dividing the number of accepted applicants by the total number of applicants. For example, if Columbia accepted 100 out of 1000 applicants, then its acceptance rate would be 10%. You can find this information on each school’s website as well as in their admissions requirements and deadlines page.

When comparing schools with similar acceptance rates, keep in mind that there are many factors that influence them:

  • Number of applicants (larger schools tend to have lower acceptance rates)
  • The quality of students applying to each school (many top schools attract more qualified candidates)
  • Geographic location (some regions have greater demand for college degrees)

How hard is it to get into Columbia?

Columbia University is a school that has a reputation for being extremely difficult to get into. It’s not just the Ivy League, but it’s one of the top universities in the world and it’s right here on our continent. Are you willing to put your time and effort into proving yourself? If so, Columbia might be worth a shot.

How does Columbia compare to other Ivy League schools?

You’re not alone if you’re curious about how Columbia compares to other Ivy League schools. With such a low acceptance rate, it would be silly not to wonder what Columbia’s data science masters program looks like compared to the other Ivy League schools. The following table shows acceptance rates for each school in their respective undergraduate programs (in other words, these numbers represent the percentage of applicants who were accepted):

School Acceptance Rate (%)

  • Harvard University 6%

The Ivy League is where dreams go to die.

Columbia is a great school that can be a good fit for some students. It’s not the best school, or the worst school, but it’s definitely not the best value or the worst value either. If you want to get paid well at your job and to have an enjoyable life outside work, then Columbia might be a good choice for you.

On average, alumni from Columbia tend to make more money than alumni from other Ivy League schools (except those who went to Yale). But don’t let this fool you into thinking that going to Columbia would automatically mean getting hired by Goldman Sachs right after graduation! There are many other factors involved in getting hired at top firms besides just where you went to college so don’t expect everything will go smoothly just because Columbia accepted you into its masters program.


We hope you enjoyed this article on the Columbia data science masters acceptance rate. Check out our blog for more great articles.

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