

M.S. in Quantitative Finance and Risk Analytics
- Private University
Lally School of Management
M.S. in Quantitative Finance and Risk Analytics at RPI Overview
M.S. in Quantitative Finance and Risk Analytics at Rensselaer Polytechnic Institute is a popular program among Indian students. For admission to this course, which has 1 year, an Indian student needs to be eligible and submit documents. The documents to be submitted are academic qualifications, standardised text and language test score, resume and others. English language tests accepted by the university such as IELTS, TOEFL, GRE, GMAT and PTE. The first-year tuition fee for this course at the time of admission is USD 54,000 (INR 5,183,460). Also, there is regular spending on food, travel, staying, books, supplies and others. The annual cost of living is typically USD 14,560 (INR 1,397,614) at Rensselaer Polytechnic Institute.
Duration | 1 year |
Tuition & Fees | ₹51.33 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
M.S. in Quantitative Finance and Risk Analytics at RPI Fees
For enrolling at the Rensselaer Polytechnic Institute, for M.S. in Quantitative Finance and Risk Analytics, students must pay the tuition and living cost. Moreover, the Rensselaer Polytechnic Institute M.S. in Quantitative Finance and Risk Analytics fee structure can vary from domestic to international students.
International students must pay the USD 54,000 (INR 5,183,460) for the first year. Along with this, they must be ready for other costs of living such housing, food, transportation, books and supplies, and other miscellaneous expenses. The average Rensselaer Polytechnic Institute cost of living for international students is USD 14,560 (INR 1,397,614). Check out Rensselaer Polytechnic Institute M.S. in Quantitative Finance and Risk Analytics on the fee breakup, from the table mentioned below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 51,32,755 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 13,83,943 |
| Insurance | INR 1,24,897 |
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M.S. in Quantitative Finance and Risk Analytics at RPI Entry Requirements
- No specific cutoff mentioned
- 60%
- Applicant must have a four-year U.S. bachelor’s degree or the U.S. equivalent

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- Marks - 88/120
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- No specific cutoff mentioned
- NA
- Marks - 59/90
- NA
- Marks - 6.5/9
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- No specific cutoff mentioned
- NA
- No specific cutoff mentioned
- Transcripts and Degrees must be in English (all post-secondary education, including transcript keys).
- Two recommenders :
- Recommendations should be from your academic advisor(s), professors, research mentors, etc
- Resume
- Personal Statement
- It should address the academic and research interests, and future career goals as they relate to the graduate program to which applicants are applying. The statement should include relevant academic/research, professional, and personal experiences that influenced your decision to apply to the graduate program.
- Proof of English Language Proficiency
- GRE/GMAT scores
M.S. in Quantitative Finance and Risk Analytics at RPI Rankings
| Rank | Rank Publisher |
|---|---|
| #19 | |
| #201 | |
| #301 |
M.S. in Quantitative Finance and Risk Analytics at RPI Placements
| Particulars | Statistics (2021) |
|---|---|
| Internship Available | Yes |
M.S. in Quantitative Finance and Risk Analytics at RPI Highlights
- Students with finance or technical undergraduate background take 30 credits while others take an additional six credits in mathematics and statistics
- Concentrations include: General, Quantitative Finance or Financial Risk Analysis
- The Lally School's M.S. in Quantitative Finance & Risk Analytics (QFRA), a top 25 national quant program according to 2020 QuantNet rankings, provides students with a deep understanding of the cutting-edge theory and advanced analytical techniques required to establish their career in this dynamic and highly rewarding industry
M.S. in Quantitative Finance and Risk Analytics at RPI Scholarships
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