Jump to content

Should I apply more on Masters side and reduce the Ph.D. side?


NLPNinja

Recommended Posts

Hi everyone, 

 

This is my first post in this forum, so if I make any mistakes, please point it out. 

I'll go straight to the point. I'm an undergraduate majoring in software engineering at a 2-tier university in China. I'm applying for a natural language processing Ph.D in computer science. 

 

I've done a three month internship on NLP in Canada. I have no publication yet. 

 

I initially wanted to select ten 1-tier universities for PhD applying and five 2-tier universities for masters. And these PhD programs are all NLP oriented. I go to masters for general machine learning.  

 

However, given my background, I am not competitive to other applicants who have published tons of papers. And I don't want to go to a 2-tier school for PhD (only 1-tier schools has NLP research labs). So, should I reduce the number of PhD schools I select, and add more to my master selection? I mean, masters are easier to get into. And after I finished master, I could then consider going to a nice 1-tier PhD program. 

 

Will this plan in my mind work? And by the way, if you know any 2-tier universities that do have NLP labs, please tell me in your reply. Thanks!

Link to comment
Share on other sites

If you have extra money to spare, and you are not in a hurry to get your PhD, yes your plan will work. However, be sure to aim at master programs that have research opportunities for master students.

Link to comment
Share on other sites

Create an account or sign in to comment

You need to be a member in order to leave a comment

Create an account

Sign up for a new account in our community. It's easy!

Register a new account

Sign in

Already have an account? Sign in here.

Sign In Now
×
×
  • Create New...

Important Information

This website uses cookies to ensure you get the best experience on our website. See our Privacy Policy and Terms of Use