The Master of Science in Computational Finance, at Carnegie Mellon (New-York / Pittsburgh, USA) is one of the TOP Programs worldwide.
“Although this is a high-level quantitative program, there is still a reasonable dose of practical financial study found within the course”
Here are some general statistics about the graduate program at CMU:
Acceptance Rate: 6%
Annual Intake: 35
Application Deadline: April for fall entry
Average Age at Entry: 28
Average Compensation Upon Graduation: $90,118 Annually
Average Years of Work Experience of Class: 6
Dissertation/Thesis: No
Duration of Program: 17 Months (including internship), 32 Months (Part Time)
Entry Requirements:
--- Basic ability to program in a general purpose programming language such as C and at least two full semesters of study in differential and integral calculus, the caliber of which is required of engineering, math or science majors (most of our students have taken engineering level math courses beyond calculus, such as differential equations and linear algebra). Familiarity with C++ will be of considerable benefit
GMAT: Average - 688: 34 Verbal, 49 Quant, 4.6 AWA
GPA: Average -
GRE: Average - 576 Verbal, 784 Quant, 718 Analytical
TOEFL: Average - 633
International Students: 50%
Male-Female: 86:14
Placement Rate:
Required Courses for Completion: 25 (150 units)
Student-Teacher Ratio:
Tuition (07-08): $22,625/semester (Full Time), $2,970 per course (Part Time)
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Here is the summary of extensive discussions from Global Derivatives Forums:
Positives
• Excellent placement services, Housed in the Tepper Business school
• Business perspective
• Computational finance focused
• Tailored FE program is helpful to students with non-finance background
• Excellent reputation in NYC
• Manageable class size split (35+35)
• Strong alumni network
• Special Networking opportunities for NYC campus
• Financial aid/waiver available for some
Other Features
• Program fee ~ $63,000 (partial internship offset + aid/schol for some)
• 1.5 year program, September to January session
• Limited access to professors (NYC Campus)
Best suited for:
• Mid-career professionals with some prior work exprerience (relevant preferred)/Fresh graduates with steller academic records
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