Master of Science in Applied Analytics
3.8 /5
- Private University
School of Professional Studies
Talk to ExpertMaster of Science in Applied Analytics at Columbia University Overview
Master of Science in Applied Analytics offered at Columbia University is a PG level course, which is considered the top-ranked course across the university and the country. Students who are willing to apply, can pursue the course within the duration of 12 months.
International students applying at Columbia University for this course, need to submit the necessary documents as per the department and the course. International students need to submit qualification proofs along with test scores of exams including IELTS and TOEFL.
The Columbia University tuition fees for Master of Science in Applied Analytics for the first-year international student is USD 81,576. In addition to the tuition fees students need to look into other various factors that are necessary to manage their stay during the study at the university, which include the other necessary costs, covering accommodation costs, hostel fees, food, books, supplies, utilities, etc. The average cost of living at Columbia University is USD 20,436.
Duration | 16 months Get Curriculum |
Tuition & Fees | ₹65.98 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
- Overview
- Fees
- Curriculum
- Entry Requirements
- Application Process
- Rankings
- Placements
- Highlights
- Scholarships
Master of Science in Applied Analytics at Columbia University Fees
The fee structure of the Master of Science in Applied Analytics at Columbia University forms an important part of any decision-making process. The tuition fees in the first year will be USD 81,576 and are compulsory for all students. However, this is only a part of the wider picture.
Apart from tuition cost students also need to consider living expenses, including accommodation, food, utilities. The Columbia University cost of living is USD 20,436. One must take into consideration the fact that individual spending habits and any fees charged at Columbia University might also affect the overall cost.
The table below comprises a concise summary of the structural divisions pertaining to the fee allocation for Master of Science in Applied Analytics course in Columbia University.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 65,97,786 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 15,67,859 |
| Insurance | INR 3,26,171 |
Calculated at the exchange rate of 1 USD = INR 88.73 | Tuition & expenses were last updated on 30ᵗʰ August 2025Master of Science in Applied Analytics at Columbia University Curriculum
Latest curriculum for Master of Science in Applied Analytics at Columbia University can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in MS at Columbia University
Download exam sample paper
Master of Science in Applied Analytics at Columbia University Entry Requirements
- No specific cutoff mentioned
- CGPA - 3/4
- Applicants must have a bachelor’s degree from an accredited institution
- A cumulative undergraduate grade point average of 3.0 or better is required
- Applicants must demonstrate the ability for critically and leadership skills
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 100/120
- A score of 100 or higher
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Out of 10
- No specific cutoff mentioned
- Marks - 7/9
- Read less
- A minimum overall score of 7.0 (A score of 7.5 or higher is preferred)
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- An additional admissions interview may be required
- Not mentioned
Master of Science in Applied Analytics at Columbia University Application Process
- Applicant's statement of academic purpose (500 words or fewer) should clearly and concisely address the following:
- Applicant's current role
- Applicant's purpose and interest in pursuing the M.S. in Applied Analytics
- The specific skills and attributes applicants will bring to the program
- How the program will help applicants achieve their career goals
- Two recommendations are required as part of the applicant's application. Recommendations should be submitted from academic and/or professional sources. Please note:
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Certification of Professional Achievement Applicants
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If applicants are in their final year of undergraduate study at the time of application, they must submit at least one academic recommendation from a faculty member at their undergraduate institution. The second recommendation may be either academic or professional
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If applicants received a bachelor’s degree within 2 years of the date of the application, they are strongly encouraged, but not required, to submit an academic recommendation
- If applicants received a bachelor’s degree more than 2 years before the date of the application, they are not required to submit an academic recommendation
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- Recommendations should be submitted by:
- A faculty member with whom applicants have studied at their undergraduate degree-conferring institution who can assess their academic work, intellectual ability, and academic potential for graduate work. The recommender should have instructed applicants directly; academic advisors are not appropriate. AND/OR
- A current or former supervisor (preferred) or work associate/project leader who can attest to the applicant's professional abilities. If applicants manage their own business and are their own supervisor, they may select a client as their recommender. Personal references are not appropriate
- Describe a challenge related to data or analytics that applicants have encountered. How did applicants resolve this challenge, and did applicants succeed? Applicants' responses should be no longer than 250 words
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Applicants will be required to submit a one-minute video essay answering a randomized prompt before submitting their application
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Certification of Professional Achievement Applicants
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- Include any professional experience or skills related to applicant's program of interest
- Offical Transcripts
- Proof of English proficiency scores
- Copy of passport
- 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
Master of Science in Applied Analytics at Columbia University Rankings
| Rank | Rank Publisher |
|---|---|
| #10 | |
| #14 | |
| #17 |
Master of Science in Applied Analytics at Columbia University Placements
| Particulars | Statistics (2025) |
|---|---|
| Internship Available | Yes, The Internship in Applied Analytics course offers students the preparation to excel in the marketplace with hands-on experience within an organization The ideal internship will provide students an opp The Internship in Applied Analytics course offers students the preparation to excel in the marketplace with hands-on experience within an organization The ideal internship will provide students an opportunity to gain tangible and practical knowledge in their chosen field by taking on a position that is closely aligned with their coursework and professional interests |
Columbia UniversityStudents Ratings & Reviews
2 Verified Reviews- 67% students never faced discrimination in this university
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Master of Science in Applied Analytics at Columbia University Highlights
- This program prepares students with practical data and leadership skills to succeed
- The program combines in-depth knowledge of data analytics with the leadership, management, and communication principles and tactics necessary to impact decision-making at all levels within organizations
- The program consists of required courses in two core areas:
- The Technical Core will introduce you to the methods and range of tools and systems that organizations use to conceptualize, collect, manage, and analyze data to produce information to make it actionable across their enterprise
Master of Science in Applied Analytics at Columbia University Scholarships
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