Hey everyone!
I am a machine learning developer since last two years and now switching my career to quantitative field. To learn the finance part, I am considering enrolling for WorldQuant's MScFE program because of the following reasons:
1) I have only an undergraduate degree in Computer science with average CGPA (6.7/10). I probably won't be accepted in top universities with it.
2) It can be done part time.
3)It is free!
The course structure seems to be very RIGOROUS and practical. Weekly quizzes and peer reviewed assignments, collaborative projects further add value to it. At the end with the capstone project (6 months), we can build a solid profile before graduation.
Further, I am really enjoying building trading strategies on Quantopian and QuantConnect and applying my ml skills to it. Who knows, I might come up with million dollar strategies within these two years? (*fingers crossed*)
My question is regarding the career aspect. Does WQU help in getting internships/placement? Anyone enrolled can share this info?
Thanks!
I am a machine learning developer since last two years and now switching my career to quantitative field. To learn the finance part, I am considering enrolling for WorldQuant's MScFE program because of the following reasons:
1) I have only an undergraduate degree in Computer science with average CGPA (6.7/10). I probably won't be accepted in top universities with it.
2) It can be done part time.
3)It is free!
The course structure seems to be very RIGOROUS and practical. Weekly quizzes and peer reviewed assignments, collaborative projects further add value to it. At the end with the capstone project (6 months), we can build a solid profile before graduation.
Further, I am really enjoying building trading strategies on Quantopian and QuantConnect and applying my ml skills to it. Who knows, I might come up with million dollar strategies within these two years? (*fingers crossed*)
My question is regarding the career aspect. Does WQU help in getting internships/placement? Anyone enrolled can share this info?
Thanks!