M.S. in Quantitative Finance and Risk Analytics
- Private University
Lally School of Management
Talk to ExpertM.S. in Quantitative Finance and Risk Analytics at RPI Overview
International students can pursue M.S. in Quantitative Finance and Risk Analytics at PG level at Rensselaer Polytechnic Institute. The duration of the course at the university is 1 year. The course is among the top-ranked courses in the International students must meet the entry requirements such as complete academic qualification, a valid test score in exams such as TOEFL, PTE, GMAT and GRE to be eligible for the course. The Rensselaer Polytechnic Institute tuition fee for international students for M.S. in Quantitative Finance and Risk Analytics is around USD 54,000 for first-year. Students must manage additional costs such as
- Rent
- Hostel fees
- Food, books
- supplies
- Utilities, etc.
Duration | 1 year |
Tuition & Fees | ₹47.88 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
The Rensselaer Polytechnic Institute M.S. in Quantitative Finance and Risk Analytics fees includes first year tuition fee and cost of living for international students. The first-year tuition fee is around USD 54,000. In addition to tuition costs, international students must manage their living expenses such as housing, food, and other utilities, which contribute to the total cost of living, estimated at USD 14,560. The Rensselaer Polytechnic Institute cost varies depending on the additional cost.
Refer to the table below for a detailed fee breakup of the Rensselaer Polytechnic Institute M.S. in Quantitative Finance and Risk Analytics.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 47,88,180 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 12,91,035 |
| Insurance | INR 1,16,512 |
Calculated at the exchange rate of 1 USD = INR 88.67 | Tuition & expenses were last updated on 9ᵗʰ January 2025Download exam sample paper
M.S. in Quantitative Finance and Risk Analytics at RPI Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Applicant must have a four-year U.S. bachelor’s degree or the U.S. equivalent
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Out of 10
- Marks - 88/120
-
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Out of 10
- 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 |
|---|---|
| #23 | |
| #251 | |
| #301 |
M.S. in Quantitative Finance and Risk Analytics at RPI Placements
| Particulars | Statistics (2021) |
|---|---|
| Internship Available | Yes |
Top Recruiters for RPIM.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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