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Found 4 results

  1. Hi Everyone, My profile is as follows BS (India) GPA 3.75/4, MS USA 3.6/4, GRE 301 V-149, Q-152, AWA-4 TOEFL - 106 (R-23, W-25, L-28, S-30) I have around 2 years of research exp and 6 months of teaching experience as TA during my MS No publications , working on a paper currently though. and a year of software engineering experience all in the US I am interested in human computer interaction and machine learning programs. I have shortlisted following universities. 1. Colorado state University 2. university of Texas Dallas 3. Iowa State University 4. Kent state University 5. SUNY buffalo 6. university of North Texas Do, I have any chances of a fully funded admit with this profile or should I retake gre and apply next term? I did email professors and mostly all of them encouraged me to apply and mention them in SOP. please let me know if there are any other universities I should look into. Thank You.
  2. 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!
  3. Which course is better? Georgia tech CS or Columbia DS. I am leaning towards a data science course.
  4. 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!
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