Hi everyone, I'm a long time reader but first time poster.
This coming fall, I will be applying to all of the top 10 schools rated in 2009 QuantNetwork Ranking, with particular interest in MFin @ Princeton, MSFE @ Columbia, and MSCF @
CMU.
Education
Bachelor of Math, expected April 2011, Univ of Waterloo (Canada)
GPA to date: 3.89/4.00
Total Quantitative Courses expected to have taken by graduation: 30
Total Programming Courses: 3
Total Finance/Accounting/Econ Courses: 10
(course here spans 1 school term, which lasts 4 months each)
Quantitative Courses (main topics)
Calculus I – IV
Linear Algebra I, II
Probability & Statistics
Linear Regression Modeling, Forecasting
Mathematical Optimization
Group, Ring, Field Theory
Real Analysis
Measure Theory & Fourier Analysis
Measure & Integration Theory
Differential Geometry
Algebraic Topology
Ordinary Differential Equations I, II
Computational Mathematics
Functional Analysis
Stochastic Processes
Partial Differential Equations I
Programming Courses
Programming Principles I, II (used Java)
Numeric Computation for Financial Modeling (MATLAB)
Finance Courses
Microeconomics, Macroeconomics
Financial, Managerial Accounting
Business Law
Corporate Finance I, II
Asset-Liability Management
Computer Skills
Very basic Java,
C++. Somewhat adept at Matlab.
Work Experience
Summer research related to optimization under a prof. Will be doing something directly related to computational finance this coming summer under another prof.
GRE (yet to be taken, but expect 800Q 500-700V (native English speaker but suck at taking those tests))
Questions:
- I have no industry work experience, so I am assuming my chances with MFin Princeton are nil. What about the other programs?
- I am worried about programming. I’ll be doing intensive Matlab stuff this summer, but not much C++. I should go pick up a C++ book in the master reading list and work through it right?
- What are my chances and any suggestions for improvements?
Thank you very much, and best of luck to everyone.