Dear Seniors,
I shall sincerely appreciate your time and effort in evaluating my profile. I am at a point where I have handpicked some programs that are very desirable to me but am wondering if my application will be competitive.
My UniSearch page is complete and up to date. Quick overview anyway:
UG Institution: Panjab University, Chandigarh
CGPA: 6.4/10 or 64%
WES: 3.0/4.0
GRE: 330 | Q: 167 V: 163 AWA: 3.0 [Will retake soon. Can definitely bump up all sections. Especially Quant and AWA.]
TOEFL: 115/120
Solid recommendations.
My program selection:
GaTech* | Masters in Computational Science and Engineering
Johns Hopkins University* | MSE in Computer Science
CMU Heinz* | MIS (I know not the forum for this. Sorry, but can't put eval request for a single program there.)
Columbia* | MS in Computer Science
University of Georgia | Masters in Artificial Intelligence
University of San Francisco | MS in Computer Science
University of Massachusetts | MS in Computer Science
University of California Riverside | MS in Computer Science
University of California Irvine | MS in Computer Science
University of California Davis | MS in Computer Science
NYU Stern | MS in Computer Science
San Jose State University* | MS in Computer Science (NOT Soft. Engg.)
* These schools require/recommend WES conversion. So evaluate with a 3.0/4.0 in mind here.
Most of the rest strictly do not accept WES. Funny, right? While some programs I contacted said you may attach it with originals if you want but I feel the weight they'll impart to it is questionable.
Also, if you could answer, I was wondering what looks better, a 3.0/4.0 or a 6.4/10.0? My transcripts state 6.0 as an average performance in class while 7.0 as good. I am kind of midway at 6.4. I hear 3.0/4.0 sounds better.
Any good AI/ML/NLP/Robotics places that I am missing out on where my application will be competitive?
Note: My university selection is eclectic and I understand not all places are heavy on ML/AI but it is also my understanding that I don't get to be picky with my kind of GPA.
Thanks a metric tonne.
I shall sincerely appreciate your time and effort in evaluating my profile. I am at a point where I have handpicked some programs that are very desirable to me but am wondering if my application will be competitive.
My UniSearch page is complete and up to date. Quick overview anyway:
UG Institution: Panjab University, Chandigarh
CGPA: 6.4/10 or 64%
WES: 3.0/4.0
GRE: 330 | Q: 167 V: 163 AWA: 3.0 [Will retake soon. Can definitely bump up all sections. Especially Quant and AWA.]
TOEFL: 115/120
Solid recommendations.
My program selection:
GaTech* | Masters in Computational Science and Engineering
Johns Hopkins University* | MSE in Computer Science
CMU Heinz* | MIS (I know not the forum for this. Sorry, but can't put eval request for a single program there.)
Columbia* | MS in Computer Science
University of Georgia | Masters in Artificial Intelligence
University of San Francisco | MS in Computer Science
University of Massachusetts | MS in Computer Science
University of California Riverside | MS in Computer Science
University of California Irvine | MS in Computer Science
University of California Davis | MS in Computer Science
NYU Stern | MS in Computer Science
San Jose State University* | MS in Computer Science (NOT Soft. Engg.)
* These schools require/recommend WES conversion. So evaluate with a 3.0/4.0 in mind here.
Most of the rest strictly do not accept WES. Funny, right? While some programs I contacted said you may attach it with originals if you want but I feel the weight they'll impart to it is questionable.
Also, if you could answer, I was wondering what looks better, a 3.0/4.0 or a 6.4/10.0? My transcripts state 6.0 as an average performance in class while 7.0 as good. I am kind of midway at 6.4. I hear 3.0/4.0 sounds better.
Any good AI/ML/NLP/Robotics places that I am missing out on where my application will be competitive?
Note: My university selection is eclectic and I understand not all places are heavy on ML/AI but it is also my understanding that I don't get to be picky with my kind of GPA.
Thanks a metric tonne.