The MSCF program in Carnegie Mellon has many advantages and can supplement my background in many aspects. First and foremost, in consideration of my pervious background is mainly in mathematics, and my programming skill is relatively weak compared with my strong mathematical modeling ability and relevant rich experience, my greatest aspiration from attending the MSCF program is to get my programming ability enhanced. While, of course I have the basis of learning programming languages. I have a good knowledge of R programming in statistical methods, attaining p-values in hypothesis tests by Monte Carlo Simulations and Bootstraps under categorical data and numerical data; I’ve taken Java courses for two quarters and I am able to have rigorous computational logics and exercised my brain to learn other languages such as C++ and Python more easily and faster. Apart from programming, the machine learning training is also an important attraction to me. As the top computer science school in the whole world, I have reason to believe CMU’s machine learning course would be very fantastic and cool in teaching regularized regression, bias-variance tradeoffs, and model validation and assessment.
Secondly, as a recent graduate with very limited working experience in the financial circle, I clearly understand how significant work experience is for me to start my career in America after graduation from MSCF. Thus, the Deutsche Bank Trading Competition and the nearly 100% secured summer internship opportunity MSCF program offers seem to be invaluable for me to get a better sense of the full-time position of my desired direction, helping me hit the ground running upon graduation.
Lastly, the curriculum of MSCF program is well-organized and I wish to choose to focus on asset management in my final semester to further narrow my focus down before entering into workplace.