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Dilemma for choosing colleges for MS in CS


himanshiv

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Hi,

 

I am planning to pursue MS in CS in fall '11. Following is my profile:

 

GRE: 1440(Q770, VA 670)

Decent Acads

2.5 work ex

---> 2 years research work ex in NLP domain

----> 6 months telecom

Have a paper publication

Given a talk at conference

 

I have many queries. Hope someone can answer them [clap]

1)which are the best college for MS(CS) specialization in AI

2) Which colleges shd "I choose" for pursuing MS (CS) specialisation AI

3) I have read on one of your post that it is better to do an MS from an average university with low fees than doing from a costly high ranked university. I am completely confused now and don't really know what should I do. Basically how important is the university for doing MS. How much is the placement, research value attached to the university. Which option will give me the highest ROI? :mad:

 

Currently I plan to either work in some good research lab or pursue PHD after my MS.

Please guide me what should I do?

 

4) i had shortlisted the following university till now

1. Brown

2. Columbia

3. USC

4. NYU

5. UTD

 

Are these good university for MS in AI (artificial intelligence )and can anyone suggest a possible replacement for any of these?

Edited by himanshiv
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CMU is one of the really good schools for MS in CS. You should apply there, seeing your credentials are good. Also, don't hesitate in applying. Just apply and the outcome will either be an acceptance or a rejection. So, don't worry.

 

From a personal experience. I applied to the the top 10 schools (sans MIT, Stanford, UCB, CalTech) for MS EE. I took the GRE twice [1270 - 480V,790Q,4.0AWA and 1420 - 620V,800Q,4.5AWA] in a gap of 3 months (Jul and then Oct 2010). I am still in my final year of undergrad. I have a good CGPA. I have accpetances from CMU and Cornell. I do not have any papers published or any projects that I have done over the course of my undergrad. Still I was accepted by CMU. So don't hesitate. Take that step and apply. You never know!

 

All the best! :)

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