MS in Public Health Data Science
3.7 /5
- Private University
Mailman School of Public Health
Talk to ExpertMS in Public Health Data Science at Columbia University Overview
MS in Public Health Data Science
at Columbia University
The Columbia University offers a really good MS in Public Health Data Science program at the PG level, which lasts for 2 years. To get admission to the program, students must meet the requirements for the course which include having a valid score on tests like TOEFL, GRE, PTE and Duolingo. The Columbia University tuition fee for the first year of the MS in Public Health Data Science is USD 32,904 (INR 3,158,455). Also, the students should budget well for living expenses, which has:
- Accommodation (rent or hostel)
- Food
- Books
- Other important utilities
Duration | 2 years |
Tuition & Fees | ₹31.51 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MS in Public Health Data Science
Table of contents
MS in Public Health Data Science at Columbia University Fees
MS in Public Health Data Science
at Columbia University
The first-year tuition fee for the MS in Public Health Data Science at the Columbia University is USD 32,904 (INR 3,158,455). Moreover, the fee structure for the MS in Public Health Data Science comprises the first-year tuition fees, supplement charges, facility requirements, and other additional charges offered by the Columbia University.
Apart from the tuition cost and university charges, students should also keep in mind the extra expenses to stay at the university or any nearby accommodation. They are required to manage the finances for various factors like rent, food, transportation, utility, and other personal expenses, which can vary as per the individual.
Check the detailed information on the Columbia University MS in Public Health Data Science on the fee breakup, from the table below.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 31,50,570 |
Calculated at the exchange rate of 1 USD = INR 95.75036 | Tuition & expenses were last updated on 20ᵗʰ December 2024Download exam sample paper
TOEFL
TOEFL
PTE
Duolingo
GRE
MS in Public Health Data Science at Columbia University Entry Requirements
MS in Public Health Data Science
at Columbia University
Requirements for 12th grade
- No specific cutoff mentioned
Graduation
- No specific cutoff mentioned
- Read less
- Applicants need three?year bachelor's degrees from India.
- Applicants will need you to provide a WES course-by-course evaluation in order to show that coursework is equivalent to at least a U.S. bachelor's degree.
- The WES evaluation should also show a breakdown of coursetitles and cumulative grade point average (GPA) based on a U.S. 4.0 scale.
- Applicants should have some background in college mathematics, including at least a year of calculus. A semester of linear/matrix algebra is highly encouraged.
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GPA
Percentage
CGPA
Out of 10
TOEFL
- Marks - 100/120
-
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-
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Convert your CGPA to GPA
Calculate your score and check your eligibility at over 2000+ universities.
GPA
Percentage
CGPA
Out of 10
PTE
- No specific cutoff mentioned
GRE
- No specific cutoff mentioned
- NA
Duolingo
- No specific cutoff mentioned
Work Experience
- Minimum: 36 months
- Three or more years post-bachelor's degree work experience in public health or a related field.
Sign-up to view details
MS in Public Health Data Science at Columbia University Rankings
MS in Public Health Data Science
at Columbia University
Course Ranking
University Ranking
| Rank | Rank Publisher |
|---|---|
| #9 | |
| #15 | |
| #18 |
MS in Public Health Data Science at Columbia University Placements
MS in Public Health Data Science
at Columbia University
| Particulars | Statistics (2021) |
|---|---|
| Internship Available | Yes |
Columbia UniversityStudents Ratings & Reviews
3.7/5
3 Verified ReviewsStudent Views (Based on Reviews)
- 75% students never faced discrimination in this university
Vibe of Campus
Academically oriented
Friendly
Multi-dimensional
Fun loving
Internships3.7
Part time work3.3
Post study jobs4
Quality of faculty4.7
Student Life3.7
Value for money3.3
Public transportation4.7
Safety3.7
Indian Food3.3
Permanent Immigration3
A
Anonymous
Computer Science Master's Degree - Vision, Graphics, Interaction and Robotics - Batch of 2026
3.0
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
N
Nithishma Allu
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
(1) 1 person found this helpfulA
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
A
Anonymous
Master of Science in Enterprise Risk Management - Batch of 2026
3.6
Columbia University is a great place to pursue your course.
Tips: The education system here is uncorrupted, and only intelligence, brilliance, and consistency survive here. Not being mentally prepared to face or embrace the culture and weather changes can be detrimental, but overall, it's a great university to study and learn at. Also, it's great to have your own bicycle or something to travel on. Scholarships are available, offered based on the profile and the kind of degree. Mostly PhDs get plenty of funding through research assistantships or teaching assistantships, but others can too; you just need to research a bit. Columbia University is a great place to study.
Likes (Value for money): It's great value for money, as I got more in return than what I paid for in my course. The course covered all the great aspects of my master's degree in enterprise risk management, though it was very hectic, but definitely worth it. I had fun doing this, and the environment here is awesome too.
Dislikes (Permanent Immigration): Permanent immigration in the US has a long queue if you are an Indian, since there are many. It is totally possible to extend your visa, definitely once you apply for a green card, but it is by no means citizenship until you get your green card, and it's hard to get, especially as an Indian. I would love to have permanent residence here; it is a fun place, and I would really like to have a job here.
Total Monthly ExpenseUSD 1300
Prepping time for classes27 hours/Week
Expected Annual SalaryUSD 70000
View All 4 Reviews
MS in Public Health Data Science at Columbia University Highlights
MS in Public Health Data Science
at Columbia University
- MS in Public Health Data Science is offered by Mailman School of Public Health under Columbia University, USA.
This a Masters level program of a course duration of 2 Years.
Download the brochure to read more details of this course.
MS in Public Health Data Science at Columbia University Scholarships
MS in Public Health Data Science
at Columbia University
Scholarship information is not available. You can apply to non-college specific scholarships available for
USA.
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MS in Public Health Data Science at Columbia University Contact Information
MS in Public Health Data Science
at Columbia University
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)
Go to College Website ->