Hi. I was admitted to the MSOR program at Columbia and am pretty certain to join it. However, today I received this very late admission to the MS in Computational Science, Mathematics and Engineering Program (CSME) at UCSD. In the long run I would like to be a researcher for a financial firm in quantitative strategies or market modelling. Which of the two programs would you recommend?
UCSD's program requires me to take rigorous courses in Algorithms, Stochastic Methods, Numerical PDEs, Numerical Optimization etc. However there are no quantitative finance courses. My undergraduate major was Civil Engineering and hence I have limited courseworks in advanced Mathematics and Computer Science. Thus I find UCSD's program a better path towards building my Mathematical background and hence towards a possible PhD and research career.
On the other hand, Columbia MSOR is full of quantitative finance courses offered by a world famous department. However I am concerned about the rigour and mathematical content of the program (There are no courses on numerical PDEs or SDEs which is are extremely vital for derivative pricing). Also, in contrast to the UCSD program which takes in only 4-5 students for its MS program, MSOR has student intake of over 100 including many students from lower rung Indian Engineering colleges which makes me apprehensive if the courses are diluted.
Both are top ranked institutions, with UCSD being one the world's top Engineering schools while Columbia's IEOR has an extremely strong reputation in financial world.
Please share your thoughts.
UCSD's program requires me to take rigorous courses in Algorithms, Stochastic Methods, Numerical PDEs, Numerical Optimization etc. However there are no quantitative finance courses. My undergraduate major was Civil Engineering and hence I have limited courseworks in advanced Mathematics and Computer Science. Thus I find UCSD's program a better path towards building my Mathematical background and hence towards a possible PhD and research career.
On the other hand, Columbia MSOR is full of quantitative finance courses offered by a world famous department. However I am concerned about the rigour and mathematical content of the program (There are no courses on numerical PDEs or SDEs which is are extremely vital for derivative pricing). Also, in contrast to the UCSD program which takes in only 4-5 students for its MS program, MSOR has student intake of over 100 including many students from lower rung Indian Engineering colleges which makes me apprehensive if the courses are diluted.
Both are top ranked institutions, with UCSD being one the world's top Engineering schools while Columbia's IEOR has an extremely strong reputation in financial world.
Please share your thoughts.