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Most Tracked Programs
358
Master of Financial Engineering
Avg. processing time: 67 days
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Resource 'Python Option Pricing & Hedging Tool'
After completing the C++ Programming for Financial Engineering course, I was eager to build on my knowledge and take my skills to the next level. My goal was to simplify and modularize my approach...- markbogorad
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Resource 'Financial Calculations Packages'
This project contains several Python packages for performing various financial calculations. Each package focuses on a specific aspect of financial analysis and provides functionalities to compute...- Paul Lopez
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Resource 'C++ Programming for Financial Engineering'
For people interested in pursuing graduate studies in financial engineering and learning essential C++ topics with applications to finance. The course is 16 weeks long and no prior programming...- Andy Nguyen
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- MS in Computational Finance
- Full-time
- UGPA: 3.8
- GRE Q: 170
- GRE V: 161
- GRE AWA: 3.5
F
- MS in Computational Finance
- Full-time
- UGPA: 3.8
- GRE Q: 168
- GRE V: 164
- GRE AWA: 4
V
- MS in Computational Finance
- Full-time
- UGPA: 3.91
- GRE Q: 166
- GRE V: 160
- GRE AWA: 3.5
A
- MS in Computational Finance
- Full-time
- UGPA: 3.7
- GRE Q: 170
- GRE V: 157
- GRE AWA: 4
I
- MS in Computational Finance
- Full-time
- UGPA: 3.7
- GRE Q: 170
- GRE V: 165
- GRE AWA: 4
K
- MS in Computational Finance
- Full-time
- UGPA: 3.83
- GRE Q: 170
- GRE V: 160
- GRE AWA: 4
Y
- MS in Computational Finance
- Full-time
- UGPA: 3.93
- GRE Q: 170
- GRE V: 162
- GRE AWA: 4.5
C
- MS in Computational Finance
- Full-time
- UGPA: 3.94
- GRE Q: 167
- GRE V: 157
- GRE AWA: 3.5
S
- MS in Computational Finance
- Full-time
- UGPA: 3.8
- GRE Q: 170
- GRE V: 157
- GRE AWA: 3.5
K
- MS in Computational Finance
- Full-time
- UGPA: 3.8
- GRE Q: 170
- GRE V: 166
- GRE AWA: 4