MS in Data Science
Talk to ExpertMS in Data Science at Columbia University Overview
Columbia University is one of the finest universities in USA. Columbia University provides MS in Data Science at PG level. The duration of this course is 18 months. This course attracts students from all over the world. To enrol in this course, international students must fulfil all the admission requirements. The admission requirement at the Columbia University include standardized tests like IELTS, TOEFL, PTE, Duolingo and GRE. The first year tuition fees Columbia University for MS in Data Science is USD 51,680. Moreover, the students must be ready for other expenses such as rent, hostel fees, food, books, supplies, utilities, etc. The average cost of living at Columbia University is USD 18,274.
Duration | 1.5 - 2 years Get Curriculum |
Tuition & Fees | ₹58.76 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MS in Data Science at Columbia University Fees
The Columbia University MS in Data Science fees includes first year tuition fee and cost of living for international students. The first-year tuition fee is around USD 51,680. In addition to tuition costs, international students must manage their living expenses such as housing, food, and other utilities, which contribute to the total cost of living, estimated at USD 18,274. The Columbia University cost varies depending on the additional cost.
Refer to the table below for a detailed fee breakup of the Columbia University MS in Data Science.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 58,76,429 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 15,94,541 |
| Insurance | INR 4,47,139 |
Calculated at the exchange rate of 1 USD = INR 90.24 | Tuition & expenses were last updated on 30ᵗʰ August 2025MS in Data Science at Columbia University Curriculum
International students can check the Columbia University MS in Data Science curriculum. The course PDF comprises information such as subjects taught, electives available, other course content, and semester-wise course structure breakup.
Download exam sample paper
MS in Data Science at Columbia University Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Applicants must have an undergraduate degree
- Prior quantitative coursework (calculus, linear algebra, etc.)
- Prior introductory computer programming coursework
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 99/120
- Overall 99 or lower
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Out of 10
- Marks - 68/90
- Overall 68 or lower
- Marks - 7/9
- Overall 7 or lower
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- Marks - 134/160
- Overall 134 or lower
MS in Data Science at Columbia University Frequently Asked Questions
The Columbia University Tuition Fees for UG students ranges between INR 51.6 L-INR 59.3 L, while the Columbia University tuition cost for graduate students ranges between INR 20.1 L-INR 1.23 Cr, for the entire duration of the course.
Source: Columbia University Official Website
The minute students decide to get into any renowned university, the first thing they consider is their academic scores, but there are a lot more things the university considers while selecting candidates. Here is some advice for the freshmen that can help them to get into Columbia University:
- Score high: Academics is for sure the crucial factor during admission, students must aim for high scores in high school or college and get a high GPA and class rank to create a positive impact on their resume.
- Write a compelling essay: The university follows a holistic approach and goes thoroughly through the essays that include every detail of the student. Try to write interesting facts that they want to hear including some volunteer work, group or extra activity, and more.
- Work on personality: Columbia goes through the student's personality and they want decent people with good personalities. Work on your communication skills and body language.
New York University and Columbia University are one of the best universitues in the world. The universitys are the bets in the city of New York. However, while they share a great reputation, there are subtle differences between the two universities. The below table compares the rankings, fees and acceptance rate of NYU and Columbia. Overall this information could be useful for students who are considering them.
Here is the comparison highlighting the differences between the Universities:
Name of The University | Ranking | Acceptance Rate | 1st Year Tuition Fee |
|---|---|---|---|
New York University | #39 | 10%- 11% | UG course: INR 17 L - 50 L PG course: INR 68 L - 90 L |
Columbia University | #23 | 3.9% | UG Course: INR 50 L - 52 L PG course: INR 44 L - 76 L |
(The comparison of fees was between the BTech course for UG and the MBA course for PG)
MS in Data Science at Columbia University Application Process
- Applicants submit three recommendation letters
- Applicants are required to submit a Curriculum vitae/resume
- Official transcript copies from every post-secondary institution attended
- Copy of passport
- Proof of English language proficiency
- Personal statement
Columbia offers a monthly payment plan to enable students to pay tuition and fees over several months, rather than in one payment
- The Payment Plan is available for the Fall term, Spring term, the annual academic year plan (Fall & Spring), or Summer term
- $45 annual enrollment fee and $25 enrollment fee per term (Fall, Spring and Summer terms) and $30 returned payment fee if a payment is returned
- Up to 5 Payments are available for a fall term plan. Plan enrollment closes after November 26
- Up to 5 Payments are available for a spring term plan. Plan enrollment closes after April 24
MS in Data Science at Columbia University Rankings
| Rank | Rank Publisher |
|---|---|
| #10 | |
| #14 | |
| #14 |
MS in Data Science at Columbia University Students also asked
Admission to Columbia University Engineering course is exceptionally challening, mainly beacuse of it's rigorous standards and also beacuse it's one of the top Ivy league. The Columbia University's acceptance rate is just 3.9%. That means only 3.9 out of 100 people are selected. However, students aiming to study at Columbia University for Engineering course should not be demotivated by the acceptance rate. As all they need to do is follow the requirements thoroughly and give a strong portfolio that would pursuade the faculty or team of Columbia University.
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 UniversityStudents Ratings & Reviews
2 Verified Reviews- 67% students never faced discrimination in this university
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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
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