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Fall 2018 | MS | CS | G.R.E 327 (Q-170/V-157) | GPA 7.8 | TOEFL 111
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blaze123 Offline
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blaze123 Offline
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Post: #16
RE: Fall 2018 | MS | CS | G.R.E 327 (Q-170/V-157) | GPA 7.8 | TOEFL 111
09-21-2017 08:15 PM
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The_Observer Away
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Post: #17
RE: Fall 2018 | MS | CS | G.R.E 327 (Q-170/V-157) | GPA 7.8 | TOEFL 111
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Quote:Though I have researched a lot about university course offerings and research areas in Machine Learning/Data Science/Deep Learning leading to these shortlisted universities, there can be some universities which I might have missed in the Ambitious, Moderate and Safe category. Can anybody suggest other universities for MS in CS with the above specialization?

As a general place to get you started: Duke, Wisconsin and Vanderbilt as ambitious ones, and IUB, GWU and GMU as safes. I am not sure how good their research and course offerings are in your field of interest, so do that background research on your own.

1) Please mention as many details as possible about your academics, research and work-ex, in terms of projects worked on, technologies used, roles/responsibilities handled, papers published/presented, awards/honors obtained, etc. All those have to be put in the misc details section of your UniSearch profile if you expect any help on Edulix. Also, before requesting for profile evaluations, please go through this excellent post.

2) Please take some time out to read these three threads in their entirety. PLEASE do that before asking questions about universities from a comparison perspective, or jobs, or coursework, or H-1B visas, or "placements", irrespective of which univ/department/program/major you're applying to.

I love to read, and then I regurgitate. I write - a lot - as my posts here and on other outlets would show. I do not make apologies for what I write (and how long it is). I do not sugarcoat things either. I don't tolerate vague questions, for any reasons - ignorance arising out of an inability to locate information when the necessary tools to do so (i.e. the internet, libraries, university websites, other forums/bulletin boards, etc.) are readily available, is not any kind of an acceptable excuse.

"Don't be daft." - Ancalagon The Black

"With the exchange rate where it is now, it should be a strong deterrent against picking a slightly better program for a lot more tuition fees." - coolguru
09-22-2017 08:11 PM
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blaze123 Offline
Edulix Frequent User
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blaze123 Offline
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Posts: 13
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Post: #18
RE: Fall 2018 | MS | CS | G.R.E 327 (Q-170/V-157) | GPA 7.8 | TOEFL 111
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(09-22-2017 08:11 PM)The_Observer Wrote:  
Quote:Though I have researched a lot about university course offerings and research areas in Machine Learning/Data Science/Deep Learning leading to these shortlisted universities, there can be some universities which I might have missed in the Ambitious, Moderate and Safe category. Can anybody suggest other universities for MS in CS with the above specialization?

As a general place to get you started: Duke, Wisconsin and Vanderbilt as ambitious ones, and IUB, GWU and GMU as safes. I am not sure how good their research and course offerings are in your field of interest, so do that background research on your own.

Thank you The_Observer. I just need one help.Could you classify them in subcategories (like ambi,mod-ambi,mod, safe-mod,safe etc. and not just ambi,mod,safe) as well, it would give me a better idea.

Georgia Institute of Technology
University of California - Los Angeles
University of California - San Diego
University of Massachusetts - Amherst
University of Wisconsin–Madison
University of Minnesota, Twin Cities
University of California - Irvine
Texas A & M University
Ohio State University
North Carolina State University
Virginia Tech
Purdue University - West Lafayette
Stony Brook University - SUNY
Rutgers University
Arizona State University
University at Buffalo - SUNY
University of Colorado - Boulder
University of Utah


Thanks a lot.
(This post was last modified: 09-26-2017 11:15 PM by blaze123.)
09-26-2017 11:11 PM
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The_Observer Away
Airport Layover Consultant
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The_Observer Away
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Posts: 17,789
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Post: #19
RE: Fall 2018 | MS | CS | G.R.E 327 (Q-170/V-157) | GPA 7.8 | TOEFL 111
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Ambitious:

Georgia Institute of Technology
University of California - Los Angeles
University of California - San Diego
University of Massachusetts - Amherst
University of Wisconsin–Madison
Purdue University - West Lafayette
Texas A & M University
Virginia Tech

Moderate:

Ohio State University
North Carolina State University
University of Minnesota, Twin Cities
University of California - Irvine
Stony Brook University - SUNY
Rutgers University
University of Utah

Safe:

Arizona State University
University at Buffalo - SUNY
University of Colorado - Boulder

1) Please mention as many details as possible about your academics, research and work-ex, in terms of projects worked on, technologies used, roles/responsibilities handled, papers published/presented, awards/honors obtained, etc. All those have to be put in the misc details section of your UniSearch profile if you expect any help on Edulix. Also, before requesting for profile evaluations, please go through this excellent post.

2) Please take some time out to read these three threads in their entirety. PLEASE do that before asking questions about universities from a comparison perspective, or jobs, or coursework, or H-1B visas, or "placements", irrespective of which univ/department/program/major you're applying to.

I love to read, and then I regurgitate. I write - a lot - as my posts here and on other outlets would show. I do not make apologies for what I write (and how long it is). I do not sugarcoat things either. I don't tolerate vague questions, for any reasons - ignorance arising out of an inability to locate information when the necessary tools to do so (i.e. the internet, libraries, university websites, other forums/bulletin boards, etc.) are readily available, is not any kind of an acceptable excuse.

"Don't be daft." - Ancalagon The Black

"With the exchange rate where it is now, it should be a strong deterrent against picking a slightly better program for a lot more tuition fees." - coolguru
09-27-2017 01:00 AM
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