Master of Science [MS] (Business Analytics and AI)
Field of Study:
$93,100 /Yr
NYU MS Business Analytics and AI is a 1 year Full Time Master program. This program is offered On Campus, requiring a successful completion of 35 credits. The first year fees for MS Business Analytics and AI at NYU is ₹ 89.26 Lakhs (USD 93100). Earlier in 2025, the MS Business Analytics and AI Fee was ₹ 89.26 Lakhs (USD 93100). This shows that the academic fees has remained the same.
For admission to MS Business Analytics and AI at NYU, international students need IELTS: 7, TOEFL: 5. The Final Decision Deadline for 2026 Intake is 27 February 2026. For more details, check NYU Admissions 2026
According to QS World University, NYU ranked 17 out of 650 in Global Ranking.
NYU MS Business Analytics and AI Total Fees 2026
The tuition fee for MS Business Analytics and AI at NYU is USD 93100 per year (₹ 89.26 Lakhs). Meanwhile, the total cost is USD 129672/Year (₹ 1.24 Crore). This includes the tuition fee and other expenses such as Living Cost, Books & Supplies, Health Insurance, etc.
The tuition fee for MS Business Analytics and AI at New York University is as follows:
| Expense Type | Average Cost (INR) | Equivalent (USD) |
|---|---|---|
| Tuition Fee | ₹ 89.26 Lakhs | USD 93100 |
| Application Fee | ₹ 9,876 | USD 103 |
The other expenses for MS Business Analytics and AI at New York University is as follows:
| Expense Type | Average Cost (INR) | Equivalent (USD) |
|---|---|---|
| Room and Board | ₹ 23.64 Lakhs | USD 24652 |
| Personal Expenses | ₹ 5.5 Lakhs | USD 5736 |
| Health Insurance | ₹ 4.45 Lakhs | USD 4644 |
| Books and supply | ₹ 1.48 Lakhs | USD 1540 |
| Total Cost | ₹ 35.07 Lakhs | USD 36572 |
MS Business Analytics and AI Tuition Fee Trends at NYU
NYU MS Business Analytics and AI Fees for Indian students is ₹ 89.26 Lakhs (USD 93100). This academic fee has remained the same from 2025. Candidates can check the year on year trends in NYU Fees in the table below.
| Academic Year | Tuition Fees (INR) | Tuition Fees (USD) |
|---|---|---|
| 2026 | ₹ 89.26 Lakhs | USD 93100 |
| 2025 | ₹ 89.26 Lakhs | USD 93100 |
| 2024 | ₹ 86.68 Lakhs | USD 90400 |
| 2023 | ₹ 57.92 Lakhs | USD 60408 |
| 2022 | ₹ 81.98 Lakhs | USD 85500 |
| 2021 | ₹ 34.33 Lakhs | USD 35801 |
NYU MS Business Analytics and AI Application Deadlines & Important Dates
The key dates for the application process for MS Business Analytics and AI at NYU include:
- Regular Decision Deadline for 2026 Intake is 15 January 2026
- Final Decision Deadline for 2026 Intake is 27 February 2026
MS Business Analytics and AI at NYU Admission 2026
To be eligible for admission to MS Business Analytics and AI at NYU, applicants must meet specific academic and language requirements.
School | Stern School of Business |
Academic Requirement | An undergraduate degree in a related field or equivalent. |
English Language Requirements | TOEFL(iBT) Minimum Score of 100 |
Application link | |
Total Credits | 35 |
Course Duration | 1 Year |
Application Fee | $103 |
Documents Required | Online application |
NYU MS Business Analytics and AI Application Link
NYU MS Business Analytics and AI Application Link; Apply Here
MS Business Analytics and AI at NYU Admission Requirements
For admission to MS Business Analytics and AI, NYU accepts IELTS, TOEFL exam. The average scores among admitted students are typically around: 7 in IELTS, 5 in TOEFL.
Also Check:Tuition Fees
| Year | 1st Year Fees |
|---|---|
| Tuition Fees | $93100 |
Other Expenses
| Head | Avg Cost Per Year |
|---|---|
| Room and Board | $24652 |
| Personal Expenses | $5736 |
Previous Year Tuition Fees
| Year | 1st Year Fees |
|---|---|
| 2025 | $93100 |
| 2024 | $90400 |
| 2023 | $60408 |
| 2022 | $85500 |
| 2021 | $35801 |
Important Dates
| Event | Application Date |
|---|---|
| Regular Decision Deadline for 2026 Intake | |
| Final Decision Deadline for 2026 Intake | |
Required Document List
- Online Application
- Application Fee
- Personal Essay
- Résumé
- Official Transcripts and Degree Conferral (Proof of Degree)
- Academic Records and Proof of Degree from Indian Institutions
- Transcripts
- Recommendations


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