Columbia University
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MS in Data Science 

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#11 in MS in USA

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MS in Data Science
 at 
Columbia University 
Overview

Duration

1.5 - 2 years
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Tuition & Fees

57.74 Lakh
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Course Level

PG Degree

MS in Data Science
 at 
Columbia University 
Fees

icon1st year tuition fees
Fees componentsAmount (for 1 year)
Tuition & feesINR 57,74,190
iconOther expenses in 1st Year
Fees componentsAmount (for 1 year)
Hostel & MealsINR 15,66,799
InsuranceINR 4,39,360
Info IconCalculated at the exchange rate of 1 USD = INR 88.67 | Tuition & expenses were last updated on 30ᵗʰ August 2025

MS in Data Science
 at 
Columbia University 
Curriculum

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MS in Data Science
 at 
Columbia University 
Entry Requirements

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MS in Data Science
 at 
Columbia University 
Application Process

Step one
Prepare documents for application
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  • Applicants submit three recommendation letters
CV
  • Applicants are required to submit a Curriculum vitae/resume

MS in Data Science
 at 
Columbia University 
Rankings

MS in Data Science
 at 
Columbia University 
 
Students also asked

Q:   Has any Indian graduated from Columbia University?
A: 

Yes,  Bhimrao Ramji Ambedkar and Sara Ali Khan are two popular Indian alumni members of the Columbia University.

Bhimrao Ramji Ambedkar was an Indian Jurist, Economist, Social Reformer and Political Leader. He was the head of the committee drafting the Constitution of India from the Constituent Assembly debates. He also served as Law and Justice minister in the first cabinet of Jawaharlal Nehru, and inspired the Dalit Buddhist movement after renouncing Hinduism.

Sara Ali Khan Pataudi is an Indian actress who works in Bollywood movies. She pursued a degree in History and Political Science at the Columbia University.

Columbia University
Students Ratings & Reviews

3.8/5
Verified Icon2 Verified ReviewsInfo Icon
Student Views (Based on Reviews)
  • 67% students never faced discrimination in this university
Vibe of Campus
Academically oriented
Multi-dimensional
Friendly
Liberal
Internships3.5
Part time work3.5
Post study jobs4
Quality of faculty5
Student Life3.5
Value for money2.5
Public transportation5
Safety4
Indian Food3.5
Permanent Immigration3.5
N
Nithishma Allu Verified Icon
MS in Computer Science - Batch of 2024
4.6
Columbia University: Fostering Brilliance and Innovation
Tips: Networking is the key. Make as many connections as possible. New York is an amazing place to be and make the most of it. There is a Shardarshish scholarship which waves 50% tuition fees and also numerous graduate research assistant roles available if interested.
Likes (Quality of faculty): The diversity of faculty is amazing with most of them graduating from the top universities. Their knowledge on the subject is remarkable and they challenge you to be better and work harder. They let you engage in projects and conduct many office hours for discussions
Dislikes (Internships): The coursework and the brand value added because of Columbia University is great which lands you in a good internship but there are comparatively fewer career fairs than other universities. The career advisors are super helpful in guiding and suggesting changes to resumes and cover letters.
Total Monthly ExpenseUSD 1500
Prepping time for classes30 hours/Week
Expected Annual SalaryUSD 150000
Reviewed on 11 Feb 2024Read more
Thumbs Up Icon(1) Thumbs Down Icon1 person found this helpful
A
Anonymous
MS in Data Science - Batch of 2026
3.6
Columbia is an expensive school, and the competition is very fierce.
Tips: Be mentally prepared before coming, the scholarships are rare, you need to be best at what you do. The competition is fierce, and things are not so dreamy anymore in the USA. But if you are good at it, you can make it. I am satisfied, hopefully I will get a job, and it will be easier for me.
Likes (Quality of faculty): Mostly, the faculty are adjunct faculty, giving a more practical experience. The faculty is diverse and well-rounded, and the way things are done here is different from in India. They are more concerned with practicality than with theoretical knowledge, so you need to study and prepare on your own.
Dislikes (Value for money): Columbia is an expensive school, and the competition is very fierce. Off-campus jobs don't pay well compared to the living costs. There are better private schools that offer scholarships you can attend. Brand value still matters in today's world, though.
Total Monthly ExpenseUSD 2300
Prepping time for classes27 hours/Week
Expected Annual SalaryUSD 87000
Reviewed on 1 May 2025Read more
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A
AnonymousVerified Icon
Computer Science Master's Degree - Vision, Graphics, Interaction and Robotics - Batch of 2026
3
Ivy League Tag does not work anymore.
Tips: No overwhelming cultural shift that I have experienced as of now. I didn't get any scholarship, they pay you nothing, no on campus jobs and even if you get any, you'll be paid peanuts. You basically take a crore rupees loan, study and work like a machine and still end up with no internship call, no certainty about jobs.
Likes (Quality of faculty): Excellent faculty, coursework, teaching and most importantly research. But don't expect to get paid for your research. They won't pay you. They'll ask you to take it for credit. All professors are great researchers and top in their domain but not all are good teachers.
Dislikes (Value for money): It's very expensive with zero or very few on campus jobs paying you peanuts. No proper career fair for internships. Uncertainty of jobs, constantly changing government regulations, disregarding all the effort and money we put to study here. Disregard for your skill and knowledge.
Total Monthly ExpenseUSD 2125
Prepping time for classes50 hours/Week
Expected Annual SalaryUSD 80575
Reviewed on 28 Sep 2025Read more
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MS in Data Science
 at 
Columbia University 
Highlights

  • The M.S. in Data Science allows students to apply data science techniques to their field of interest
  • Columbia data science students have the opportunity to conduct original research, produce a capstone project, and interact with our industry partners and world-class faculty. Students may also choose an elective track focused on entrepreneurship or a subject area covered by one of our centers
  • This program is jointly offered in collaboration with the Graduate School of Arts and Sciences’ Department of Statistics, and The Fu Foundation School of Engineering and Applied Science’s Department of Computer Science and Department of Industrial Engineering and Operations Research

MS in Data Science
 at 
Columbia University 
Scholarships

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About the author

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Akansha katariya

Study Abroad Expert

Akansha katariya is a content creator at shiksha.com, creating content for study abroad. Having pursued B tech. in Electronics and communication from RGPV University, she has been creating content across diverse domains. When not guiding students, sh...Read Full Bio

MS in Data Science
 at 
Columbia University 
 
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MS in Data Science
 at 
Columbia University 
Contact Information

Address

116th and Broadway, New York, NY 10027, United States

New York

Phone
212-854-4400

(For general query)

212-854-2522

(For admission query)

Email
registrar@columbia.edu

(For general query)

ugrad-ask@columbia.edu

(For admission query)

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