Master of Science [MS] (Data Science)
Field of Study:
₹60.2 L/Yr
Columbia University Master of Science (M.S) Data Science is a 30-credit, three-semester full-time postgraduate programme combining foundational coursework in computer science, statistics, and algorithms with practical applications through a capstone project. The programme is jointly offered by Columbia Engineering's Department of Computer Science, the Graduate School of Arts and Sciences' Department of Statistics, and the Department of Industrial Engineering and Operations Research. Columbia University ranks 38th globally in the QS World University Rankings 2026 and 18th in the Times Higher Education World University Rankings 2026.
International students on the MS Data Science programme gain access to world-class faculty conducting cutting-edge research in machine learning, artificial intelligence, and data systems. The programme attracts data science professionals from 40+ countries, creating a diverse academic community. Students complete capstone projects with industry partners including Google, Amazon, JPMorgan Chase, Goldman Sachs, and McKinsey & Company. Upon graduation, international students are eligible for Optional Practical Training (OPT), allowing up to three years of work authorization in the United States.
Current Admission Status:
The Columbia University MS Data Science operates on a rolling admissions basis with two application deadlines for Fall 2026 intake:
- Priority Deadline: January 15, 2026 (for priority consideration)
- Final Deadline: February 15, 2026 (23:59 EST)
Applications are processed on a rolling basis; early application is strongly recommended as places are allocated on a first-come, first-served basis. Programme start date: Fall 2026 (typically mid-August). GRE scores are optional for 2026 applications.
- Why Study Master of Science Data Science at Columbia University
- Tuition Fees for Columbia University Master of Science Data Science
- Cost of Living in New York City for International Students
- Admission Requirements for Columbia University Master of Science Data Science
- English Language Proficiency Requirements for Columbia University MS Data Science
- Columbia University Master of Science Data Science Rankings
- Scholarships for International Students Studying Master of Science Data Science at Columbia University
- Placement Data and Job Outcomes for Columbia University Master of Science Data Science Graduates
- Return on Investment for Master of Science Data Science (Indian Students)
- Visa Sponsorship and Work Rights for International Students
- Frequently Asked Questions
Why Study Master of Science Data Science at Columbia University
- Three-year Optional Practical Training (OPT) for international graduates: Unlike many other countries, the US allows international MS graduates to work for up to three years post-graduation through OPT, enabling career establishment and visa pathway to permanent residency.
- Industry-leading capstone projects with top companies: Students work on real-world projects sponsored by Google, Amazon, JPMorgan Chase, Goldman Sachs, McKinsey, and 100+ other industry partners, gaining practical experience and direct recruitment opportunities.
- Ivy League network in the global financial and tech hub: Located in New York City, students access unparalleled networking opportunities with leading financial institutions, tech companies, and research organizations; 72% of graduates work in finance and tech sectors.
- Cutting-edge curriculum covering AI, machine learning, and NLP: The programme covers advanced topics including deep learning, natural language processing, causal inference, and probabilistic programming taught by world-class faculty at the forefront of data science research.
- Strong placement outcomes with average salary of USD 120,000+: Graduates secure roles at leading companies within 3-6 months; average starting salaries exceed USD 120,000 annually in finance, tech, and consulting sectors.
Tuition Fees for Columbia University Master of Science Data Science
The Master of Science Data Science at Columbia University costs USD 51,680 per annum for international students in 2026-2027. The programme is 30 credits (approximately 3 semesters), with total tuition typically ranging from USD 51,680 to USD 64,800 depending on course load.
All INR conversions based on exchange rate of USD 1 = INR 92.76 as of 6 April 2026. Exchange rates are subject to change.
| Fee Component | Amount (USD) | Amount (INR) |
|---|---|---|
| Annual Tuition Fee (International) | USD 51,680 | INR 47.94 Lakhs |
| Per Credit Cost | USD 2,700 | INR 2.50 Lakhs |
| Total Tuition (30 credits, 3 semesters) | USD 64,800 | INR 60.13 Lakhs |
| Application Fee (non-refundable) | USD 85 | INR 7,885 |
| International Student Fee (per semester) | USD 160 | INR 14,842 |
Key Fee Details:
- Tuition is charged per credit at USD 2,700 per credit; the 30-credit programme typically costs USD 64,800 total.
- International students pay an additional international student fee of USD 160 per semester (USD 320 per year).
- The application fee of USD 85 is non-refundable and must be paid before your application can be processed.
- Fees are fixed for the duration of the programme and will not increase during your studies.
- Payment is typically due in installments per semester; financial aid and payment plans may be available.
Cost of Living in New York City for International Students
New York City is one of the most expensive cities in the United States. International students typically spend between USD 1,200 to USD 4,000 per month (INR 1.11 to 3.71 Lakhs per month) depending on accommodation type and lifestyle choices. For a three-semester (approximately 12-month) programme, total living costs range from USD 14,400 to USD 48,000 (INR 13.36 to 44.53 Lakhs).
| Cost Category | Per Month (USD) | Per Month (INR) | Per 12-Month Year (USD) | Per 12-Month Year (INR) |
|---|---|---|---|---|
| On-Campus Housing | USD 1,562-2,805 | INR 1.45-2.60 Lakhs | USD 18,744-33,660 | INR 17.39-31.22 Lakhs |
| Off-Campus Housing | USD 1,300-2,500 | INR 1.21-2.32 Lakhs | USD 15,600-30,000 | INR 14.47-27.83 Lakhs |
| Food & Groceries | USD 400-700 | INR 37,104-64,932 | USD 4,800-8,400 | INR 4.45-7.79 Lakhs |
| Transportation (MTA Pass) | USD 132 | INR 12,244 | USD 1,584 | INR 1.47 Lakhs |
| Utilities & Internet | USD 100-200 | INR 9,276-18,552 | USD 1,200-2,400 | INR 1.11-2.23 Lakhs |
| Personal & Miscellaneous | USD 200-400 | INR 18,552-37,104 | USD 2,400-4,800 | INR 2.23-4.45 Lakhs |
| TOTAL (On-Campus Housing) | USD 2,394-4,637 | INR 2.22-4.30 Lakhs | USD 28,728-55,644 | INR 26.65-51.62 Lakhs |
Accommodation Options for International Students
Columbia University offers both on-campus and off-campus accommodation. Most international graduate students prefer on-campus housing for convenience, community, and proximity to campus, though availability is limited and competitive.
On-Campus University Housing:
| Accommodation Type | Cost Per Month (USD) | Cost Per Month (INR) | Notes |
|---|---|---|---|
| Apartment Share (2-3 bedroom) | USD 1,139-1,562 | INR 1.06-1.45 Lakhs | Shared living spaces; utilities included |
| Studio | USD 2,391 | INR 2.22 Lakhs | Self-contained; all utilities included |
| One-Bedroom | USD 2,507 | INR 2.33 Lakhs | Private bedroom; shared common areas |
| Two-Bedroom | USD 2,805 | INR 2.60 Lakhs | More space; shared with roommate |
Off-Campus Private Accommodation:
| Accommodation Type | Cost Per Month (USD) | Cost Per Month (INR) | Notes |
|---|---|---|---|
| Shared Apartment (2-3 bedrooms) | USD 1,300-1,800 | INR 1.21-1.67 Lakhs | Utilities extra (USD 100-150/month) |
| Studio/1-Bedroom Flat | USD 1,800-2,500 | INR 1.67-2.32 Lakhs | Utilities extra; more independence |
| International House NY | USD 1,400-1,800 | INR 1.30-1.67 Lakhs | Graduate housing; community-focused |
Note on Accommodation Costs: On-campus housing is NOT included in tuition fees and must be paid separately. On-campus housing is highly competitive and not guaranteed for graduate students; early application is essential. Off-campus private accommodation in Manhattan, Brooklyn, and Queens offers more options but requires independent arrangements.
Part-Time Work Opportunities for International Students:
International students on F-1 visas can work up to 20 hours per week on-campus during the academic term and full-time during official vacation periods. Many international MS Data Science students work as teaching assistants, research assistants, or in university administrative roles.
- Teaching Assistant (TA): USD 15-20 per hour (INR 1,391-1,855 per hour) - grading, tutoring, lab support
- Research Assistant (RA): USD 16-22 per hour (INR 1,484-2,041 per hour) - research project support, data analysis
- Typical TA/RA workload: 10-15 hours per week during term-time; full-time during breaks
- Annual earning potential: USD 8,000-15,000 (INR 7.42-13.91 Lakhs) from part-time on-campus work
Minimum Wage in New York State (2026): USD 15.00 per hour. Most graduate students earn USD 15-22 per hour in university roles, generating approximately USD 600-1,100 per month (INR 55,656-102,036) from 10-15 hours weekly work during term-time.
Admission Requirements for Columbia University Master of Science Data Science
The MS Data Science programme is highly competitive with limited places. Admission requires strong academic credentials, quantitative skills, programming experience, and demonstrated motivation for data science careers.
Academic Eligibility:
You must hold a bachelor's degree from an accredited institution. The programme requires prior quantitative coursework including calculus, linear algebra, probability, and statistics. Prior introductory computer programming skills in Python, SQL, R, or equivalent are mandatory.
For Indian students, the University typically requires a minimum GPA equivalent of 3.5+ on a 4-point scale (approximately 70%+ or first-class honours). Graduates from top-tier Indian universities (IIT, IIMA, BITS Pilani, Delhi University, Mumbai University) with strong academic records are preferred. The average admitted student has an undergraduate GPA of 3.76 and GRE quantitative score of 168.
GRE Requirements:
GRE scores are optional for 2026 applications. However, submitting strong GRE scores significantly strengthens your application. The average admitted student has GRE scores of 166 (quantitative) and 157 (verbal), with a total score around 323-326. If submitting GRE scores, aim for quantitative score of 160+ and verbal score of 150+.
English Language Requirements:
All applicants whose first language is not English must demonstrate English language proficiency. The University accepts:
- TOEFL iBT: Minimum 100 overall (pre-January 21, 2026) or 5.5 overall (from January 21, 2026 onwards)
- IELTS Academic: Minimum 7.0 overall with 6.5 in each component
- PTE Academic: Minimum 68 overall
- Duolingo English Test: Minimum 119
The average admitted student has a TOEFL score of 106.5. Test results must be no more than two years old at the time of application.
Application Requirements:
- Personal statement (500 words or fewer) outlining your motivation for data science, career goals, and why Columbia's programme is the right fit
- Academic transcripts from all post-secondary institutions attended
- Three letters of recommendation (preferably from academic or professional supervisors)
- Curriculum vitae / resumé highlighting relevant work experience and projects
- Online application through Columbia's application portal
- USD 85 non-refundable application fee
- GRE scores (optional for 2026)
- TOEFL/IELTS scores (if applicable)
Admission Process:
- Submit complete online application through Columbia Engineering's application portal
- Applications are reviewed on a rolling basis by the admissions committee
- Shortlisted applicants may be invited for an interview (optional for some applicants)
- Final decision is based on academic credentials, GRE scores (if submitted), personal statement quality, recommendation letters, and demonstrated fit with programme
English Language Proficiency Requirements for Columbia University MS Data Science
The University requires all applicants whose first language is not English to demonstrate English language competency sufficient for graduate-level study.
Accepted English Language Tests:
TOEFL iBT is the most commonly used test by Indian students. For tests taken before January 21, 2026, the minimum requirement is 100 overall. For tests taken from January 21, 2026 onwards, the minimum requirement is 5.5 overall. Test results must be no more than two years old on the application deadline date.
IELTS Academic is also accepted with a minimum score of 7.0 overall with 6.5 in each component (Reading, Writing, Listening, Speaking). IELTS results must also be no more than two years old.
Waivers Available:
No exemptions are available for the English language requirement. However, if your bachelor's degree was taught and assessed entirely in English at a recognized university in a majority English-speaking country (as defined by UK Visas and Immigration), you may be exempt from submitting a test score.
Pre-Sessional English Programme:
Columbia does not offer a pre-sessional English programme. If you do not meet the English language requirement at the time of application, you may receive a conditional offer contingent on achieving the required English language score before programme commencement.
Key Insight:
- Most Indian students applying to the MS Data Science already hold TOEFL or IELTS scores from previous applications; plan to take the test 3-4 months before your target application deadline to allow time for score processing and application submission.
Columbia University Master of Science Data Science Rankings
Columbia University is ranked 38th globally in the QS World University Rankings 2026 and 18th in the Times Higher Education World University Rankings 2026. The MS Data Science programme is one of the most highly-rated and sought-after data science programmes globally, though specific programme rankings are not separately published by major ranking agencies.
| Ranking Body | Ranking Year | Global Rank | Country Rank | Subject/Category |
|---|---|---|---|---|
| QS World University Rankings | 2026 | 38th | 15th (USA) | Overall University |
| Times Higher Education (THE) | 2026 | 18th | 10th (USA) | Overall University |
| US News Best Global Universities | 2026 | 10th | 10th (USA) | Overall University |
| QS Data Science & AI Rankings | 2026 | Top 50 | Top 20 (USA) | Data Science & AI |
Note: Columbia's MS Data Science programme is consistently ranked among the top data science programmes globally by industry surveys and employer rankings, though specific programme rankings are not separately published by QS or THE.
Scholarships for International Students Studying Master of Science Data Science at Columbia University
Columbia University offers limited scholarships specifically for international MS students. Most funding is merit-based and highly competitive. International students are not eligible for federal or state student aid programmes, but institutional aid may be available.
| Scholarship Name | Amount (USD) | Eligibility | Application Deadline |
|---|---|---|---|
| Columbia Engineering Fellowship | Varies (typically USD 5,000-15,000) | Merit-based; admitted students; demonstrated financial need | Varies by round |
| School-Based Scholarships | Varies | Merit-based; all admitted students considered automatically | Varies by round |
| External Scholarships | Varies | Country-specific scholarships; government-funded programmes | Varies by country |
| Graduate Assistantships | USD 8,000-15,000 (+ tuition waiver) | Teaching/Research Assistant positions; competitive | Ongoing |
Key Insights:
- No dedicated scholarships cover full tuition fees for international MS Data Science students; most international students self-fund or seek employer sponsorship.
- Columbia does not offer need-based financial aid to international students; all aid is merit-based.
- Graduate assistantships (TA/RA positions) provide the most accessible funding for international students, offering hourly wages (USD 15-22/hour) plus potential tuition waivers.
- External funding sources include country-specific government scholarships, employer sponsorship, and educational loans from private lenders.
- Early application (by Priority Deadline of January 15) may improve scholarship consideration as funds are allocated on a rolling basis.
Placement Data and Job Outcomes for Columbia University Master of Science Data Science Graduates
Columbia University reports strong employment outcomes for MS Data Science graduates. According to the University's career outcomes data, graduates secure positions at leading companies within 3-6 months of graduation, with average starting salaries exceeding USD 120,000 annually.
MS Data Science Graduate Career Destinations:
- Finance & Banking: Quantitative Analyst, Risk Analyst, Data Scientist roles at JPMorgan Chase, Goldman Sachs, Citibank, HSBC, Morgan Stanley
- Technology & AI: Machine Learning Engineer, Data Scientist roles at Google, Amazon, Meta, Microsoft, Apple, LinkedIn
- Consulting: Data Science Consultant, Analytics Manager roles at McKinsey & Company, BCG Gamma, Deloitte, EY, Accenture
- E-Commerce & Fintech: Data Scientist roles at Alibaba, ByteDance, Tencent, Meituan, DiDi, PayPal
- Media & Entertainment: Data Scientist roles at Netflix, Spotify, Warner Music Group, NBC Universal, Roku
Recruiting Companies for Recent Graduates:
JPMorgan Chase, Goldman Sachs, Morgan Stanley, Google, Amazon, Meta, Microsoft, Apple, McKinsey & Company, BCG Gamma, Deloitte, EY, Alibaba, ByteDance, Tencent, Citibank, HSBC, PayPal, LinkedIn, Netflix, Spotify, Uber, Airbnb, Stripe
Graduate Employment by Sector:
- Finance & Banking: 35%
- Technology & AI: 40%
- Consulting: 15%
- Other (Media, E-Commerce, Government): 10%
Salary Data for MS Data Science Graduates:
| Career Stage | Salary (USD) | Salary (INR) |
|---|---|---|
| Entry-level data scientist (0-1 year post-graduation) | USD 100,000-140,000 | INR 92.76-1.30 Crores |
| Mid-level data scientist (1-3 years post-graduation) | USD 140,000-180,000 | INR 1.30-1.67 Crores |
| Senior data scientist/manager (3+ years post-graduation) | USD 180,000-250,000+ | INR 1.67-2.32 Crores+ |
Key Insight:
- MS Data Science graduates from Columbia frequently transition to senior data science or management roles within 3-5 years, with salary progression to USD 180,000-250,000+ (INR 1.67-2.32 Crores+) in senior positions.
Return on Investment for Master of Science Data Science (Indian Students)
Investment Context:
An Indian student investing in Columbia University's MS Data Science makes a significant financial commitment. Total cost (tuition + living) is approximately INR 74-1.05 Crores. However, the programme offers strong ROI through salary progression, international career opportunities, and access to Optional Practical Training (OPT) for three years of work authorization in the United States.
Salary Progression for MS Data Science Graduates:
- Year 1 (entry-level): USD 100,000-140,000 (INR 92.76-1.30 Crores) - data scientist, analyst roles
- Year 2-3: USD 140,000-180,000 (INR 1.30-1.67 Crores) - senior data scientist, team lead roles
- Year 3+: USD 180,000-250,000+ (INR 1.67-2.32 Crores+) - senior manager, director roles
ROI Calculation Table:
| Metric | Amount (USD) | Amount (INR) |
|---|---|---|
| Total Investment (Tuition + Living, 12 months) | USD 79,200 | INR 73.51 Lakhs |
| Salary at 1 year (entry-level) | USD 120,000 | INR 1.11 Crores |
| Salary at 2-3 years | USD 160,000 | INR 1.48 Crores |
| Annual Salary Increase (average) | USD 20,000 | INR 18.55 Lakhs |
| Break-even Period | ~0.7 years (8-9 months) | ~0.7 years (8-9 months) |
Long-Term ROI Benefits:
- Three-year Optional Practical Training (OPT): Allows work in the United States at any skill level, enabling salary accumulation and professional network building in a high-income economy; no employer sponsorship required for OPT.
- International career mobility: MS Data Science from Columbia (Ivy League) is recognized globally, enabling career transitions to international tech companies, financial institutions, and research organizations.
- Salary premium in home country: Returning to India with a Columbia MS Data Science typically results in 50-100% higher starting salaries compared to Indian master's graduates in data science roles.
- Career acceleration: MS Data Science graduates progress to senior data science or management roles within 3-5 years, with salaries reaching USD 180,000-250,000+ (INR 1.67-2.32 Crores+).
Key Insight:
The break-even period is approximately 0.7 years (8-9 months), after which cumulative earnings exceed total investment. When combined with the three-year OPT opportunity, international students can recover their investment within the first year of employment while building global professional networks and gaining US work experience in the data science sector.
Visa Sponsorship and Work Rights for International Students
Student Visa Sponsorship (F-1 Visa):
Columbia University is a SEVIS-certified institution and provides full visa sponsorship for all international students admitted to the MS Data Science programme. The University will issue an I-20 form (Certificate of Eligibility for F-1 Student Status) upon your acceptance, which you use to apply for an F-1 Student visa at the US Embassy or Consulate in your home country.
Work Rights During Studies:
International students on F-1 visas can work up to 20 hours per week on-campus during the academic term and full-time during official vacation periods (typically summer break and winter break). Work must be for the University or an approved on-campus employer; off-campus employment is not permitted during term-time. Many international MS Data Science students work as teaching assistants or research assistants within the University to offset living costs.
Optional Practical Training (OPT) - Post-Study Work:
Upon completion of your MS Data Science, you are eligible to apply for Optional Practical Training (OPT), which allows you to stay and work in the United States for up to three years. OPT is available to all F-1 visa holders who have completed their degree programme. OPT has no skill level requirement, meaning you can work in any role related to your field of study. OPT is not tied to a specific employer, providing flexibility to change jobs or pursue further study.
Important Note: The three-year OPT for MS graduates is a significant advantage compared to other countries' post-study work visas. This extended work period allows international students to establish careers, gain US work experience, and potentially transition to permanent residency through employer sponsorship (H-1B visa pathway).
Visa Costs (SEVIS Fee & Visa Application):
International students must pay the SEVIS fee (USD 350) when applying for an F-1 visa. Additionally, visa application fees vary by country (typically USD 160-190). These fees are non-refundable.
Frequently Asked Questions
Ques: Is the GRE required for the MS Data Science programme, and what are the minimum score requirements?
Ans: GRE scores are optional for 2026 applications. However, submitting strong GRE scores significantly strengthens your application and increases your chances of admission and scholarship consideration. The average admitted student has GRE scores of 166 (quantitative) and 157 (verbal), with a total score around 323-326. If submitting GRE scores, aim for quantitative score of 160+ and verbal score of 150+. The programme prioritizes quantitative scores as they demonstrate mathematical and analytical ability essential for data science.
Ques: What programming languages and technical skills are required before starting the MS Data Science programme?
Ans: Prior introductory computer programming skills in Python, SQL, R, or equivalent are mandatory for admission. You must have solid programming experience in at least one language (preferably Python). The programme assumes you have prior quantitative coursework including calculus, linear algebra, probability, and statistics. If you lack specific programming skills, you can take online courses (DataCamp, Codecademy, Coursera) before programme commencement to strengthen your foundation. The first semester includes foundational courses (Computer Systems for Data Science, Algorithms for Data Science) that build on these prerequisites.
Ques: What is the job market like for MS Data Science graduates, and what are the visa sponsorship prospects for H-1B sponsorship after OPT?
Ans: 87% of MS Data Science graduates secure jobs within 6 months of graduation, primarily in finance, technology, and consulting sectors. Average starting salaries exceed USD 120,000 annually. However, securing H-1B visa sponsorship after OPT is competitive; employers must demonstrate that the role cannot be filled by a US resident and meet prevailing wage requirements. The three-year OPT period provides time to build experience and establish relationships with potential sponsors. Many graduates transition to H-1B sponsorship or pursue permanent residency pathways through employer sponsorship after gaining US work experience during OPT.
Tuition Fees
| Year | 1st Year Fees |
|---|---|
| Tuition Fees | ₹6018624 (USD 64800) |
Other Expenses
| Head | Avg Cost Per Year |
|---|---|
| Housing | ₹1460352 (USD 15723) |
| Food | ₹667993 (USD 7192) |
Previous Year Tuition Fees
| Year | 1st Year Fees |
|---|---|
| 2024 | ₹6096643 (USD 65640) |
Important Dates
| Event | Application Date |
|---|---|
| Priority Application Deadline For Fall 2026 Intake | |
| Final Application Deadline For Fall 2026 Intake | |
Reviews
22 Reviews Found
Likes
- MS Data Science program is a well know program by Columbia University with renowned and distinguished Professors.
- The courses, both academic and professional developmental helped me learn more about myself - my strengths and weaknesses and how to build a work oriented lifestyle which would help me in the long-run.
- The college campus is ecstatic, and the libraries provide a beneficial space to study with a clear mind and focus. I like the way events are organized and students are encouraged to pursue their goals.
Dislikes
- I do not like the location of the university as it in not in the middle of a happening area. Although it stretches various streets in New York City, it is not an eventful place. This is the only aspect which I do not like.
Scores Required
TOP Scholarships
| Scholarship name | Award amount | Eligibility |
|---|---|---|
| The Science Ambassador Scholarship | $20,000 | Required GPA: Any, Application Requirement: Videos(s) |
| SHPE Scholarships | $1,000-$25,000 | Required GPA: 2.5 Application Requirements: Essay(s), Transcript(s) |
Key Resources for Your Study Abroad Journey
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Programs Comparison
| ranking | # 3 for Sciences by Academy Ranking of World Universities 2022 # 60 for Sciences by US News 2022 | # 2 for Statistics by QS World University 2025 # 3 for Statistics by Times Higher Education 2023 |
| exam scores | Duolingo - 135/160IELTS - 7.5/9TOEFL - 5.5/6 | IELTS - 7.0/9TOEFL - 4.5/6 |
| cost to study | Total Cost (Tuition + Living) -INR 9594875.52 | - |
| documents required | #Letter of Recommendation + Statement of Purpose | #Letter of Recommendation + Statement of Purpose |
| application dates | Dec 16, 2025 (The Science Ambassador Scholarship application deadline) Jan 15, 2026 (Priority Application Deadline For Fall 2026 Intake) Feb 15, 2026 (Final Application Deadline For Fall 2026 Intake) | Jan 8, 2026 (Application Deadline For Fall 2026 Intake) |
| - | Read Full Comparison |
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| Bharat Petroleum Scholarship | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
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| Forktip Women’s- Innovation Scholarship | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeCollege-Specific | |
| FINCAD Women in Finance Scholarship | Scholarship per student₹ 18.6 L/Yr$20,000 | Level Of StudyMaster | TypeMerit-Based | |
| Ritchie-Jennings Memorial Scholarship Program | Scholarship per student₹ 9.3 L/Yr$10,000 | Level Of StudyBachelor | TypeMerit-Based | |
| Axol Science Scholarship | Scholarship per student₹ 1.9 L/Yr$2,000 | Level Of StudyBachelor | TypeCompany-Sponsored |
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