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Hi! I know it's a bit late now but I just received my offer to MS in data science from Columbia and MS in Computer Science (Scientist and Engineers) from USC, besides MS in data science in NYU. I am having great difficulty deciding among these three programs. My brain literally shut down and beg for other's suggestions... A bit of background, I am graduating from UCSD majoring in Applied Mathematics and minor in Computer science with specialization in Machine Learning. I am a bit inclined towards becoming a data scientist in the future but I don't mind studying computer science. For now I am mainly concerned about the career aspect but I won't completely turn down further research opportunities. People were saying NYU has great curriculum and heavy in machine learning while Columba has recently invested greatly into the DS institute. My personal preference would be a smaller department with more chances interacting with faculties. Any suggestions? Thank you sooooooo much!
Hi Everyone, After long time decision, I finally decide to go to UCB stat rather than Duke stat. However, this last Friday, I got the AD from NYU DS, which is also my dream program. I am a statistics major and only took 3 cs courses in data structure, python programming and VB. I am not really sure weather my cs background is enough for ds program. I am now an actuarial analyst outside US, and I hope I can work toward modeling in US(especially prefer to work in actuarial firm) after graduate from graduate school. It sounds that NYU locates in better location for me. However, I have heard most financial companies in East side don't sponsor H1B. Also, I my opinion, to work as an data analyst, it is more important to focus on explaining the models and reports. CS skills are only tools and statistics methods are much important. I am not really sure weather I illustrate the concept of data science correct. In fact, I am confuse why most data science/ analytics programs have nearly 100% placement, which have better placement and average income than statistics programs. Can anyone provide me some advice? Thank you! Any advice and opinions for data science are appreciated!