The goal is clear, but the path not so much

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In summary, it seems that your chances of getting into a prestigious university are about the same if you perform well at an REU or if you prepare yourself better and have some publications.
  • #1
Proggle
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I'm looking for opinions and advice about an important academic decision I will have to make next year. I'm sorry if this post becomes too long, but I really appreciate your comments.

About me:

I'm a senior Physics/Computational Math undergrad at a decent state university (top 15 US in both fields). I am highly interested in pursuing an academic career, most likely in the fields of Computational Biophysics or Medical Physics (probably imaging related). I have good grades (clean 4.0) but my research experience is so-so: 6 months in particle physics, 6 months in biophysics, but no publications yet. Nevertheless, I should get good recommendation letters from both professors.

I will finish the requirements for my physics degree in Spring 2009, but my math degree will take me an additional semester or two. Therefore, my expected graduation date is currently Spring 2010. (More on this later.)

Several of my professors agree that getting into a "Big Name" university for grad school makes getting an academic position at a decent school much easier, so for the moment, that is my intention. The questions is: how?

I will be applying to two REU programs at prestigious universities for Summer 2009. Both are universities I would be happy to attend for graduate school, so it seems natural to get directly involved with them before applying. However, I would like to know: how are your chances of getting into a top 5 school affected if you perform well at an REU there? Has anyone here performed well at an REU and later not have been accepted when applying to grad school there?

My other option is somewhat more unorthodox: dropping my BS Math degree, graduating with a BS Physics degree in Spring 2009, and getting into a Master's program in Applied and Computational Mathematics at my current school. This would mean I graduate college one year earlier, but enter a PhD program one year later than expected (2 years Master). However, I think that such a degree would be useful and look good on an application if I want to do computational work for my PhD. What are your thoughts on this?

Another interesting possibility of the Master's option is that I may be able to work as a RA in the Physics department, because I know many of the professors here. This would allow me to do 2 years of paid research and give me time to land a few publications (hopefully!).

One important note: the REU programs and the Master's are mutually exclusive, because I cannot enter one if I graduate (REU) in Spring 2009 and I cannot enter the other one (Master's) if I don't.

This is getting long, so the bottom line is: what's better for grad school applications? Meeting and working with professors at a given school and showing them you're competent or preparing yourself better for what you want to do and having some publications to show for it?

Thanks a lot for reading.
 
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  • #2
It seems you're generally on the right path to accomplish your long term goals. I think either approach you take will be equally successful for those goals. So, I think it really comes down to your personal preference. Do you really prefer to finish that math degree, or are you more anxious to graduate and move on to a master's program?
 
  • #3
Moonbear said:
It seems you're generally on the right path to accomplish your long term goals. I think either approach you take will be equally successful for those goals. So, I think it really comes down to your personal preference. Do you really prefer to finish that math degree, or are you more anxious to graduate and move on to a master's program?

It's a tough question. I enjoy learning, but sometimes I feel like college classes aren't that challenging any more, so in that sense I am somewhat anxious to graduate and start more advanced work. I wouldn't mind finishing the Bachelor's degree, but a Master's does seem more interesting at the moment. It does involve an extra year of my life, though.

My real fear is that if I dump the REU, I will have missed the chance to go to two schools I really like. My application will be better after the Master's, but there's no guarantee that I'll be accepted at those schools. I feel like a successful REU really gets you one foot in the door at that school, but I'm hoping for some testimonials in case I have the wrong impression.
 

1. What does it mean when someone says "the goal is clear, but the path not so much"?

When someone says "the goal is clear, but the path not so much," it means that the end goal or objective is well defined and understood, but the steps or actions needed to achieve it are uncertain or unclear.

2. How can this statement be applied in scientific research?

In scientific research, this statement can be applied to situations where the overall goal or hypothesis is clearly defined, but the specific methods or experiments to test it are not yet fully understood or established.

3. What challenges can arise from having a clear goal but an unclear path in scientific research?

Some challenges that can arise from having a clear goal but an unclear path in scientific research include difficulty in designing experiments, uncertainty in the validity of results, and delays in achieving the desired outcome.

4. How can scientists overcome the uncertainty in the path towards a clear goal?

Scientists can overcome uncertainty in the path towards a clear goal by conducting thorough research and experiments, collaborating with other experts in the field, and being open to adapting their methods based on new findings and data.

5. Can having a clear goal but an unclear path be beneficial in scientific research?

Yes, having a clear goal but an unclear path can be beneficial in scientific research as it allows for flexibility and innovation. It can also lead to unexpected discoveries and new insights that may not have been possible with a rigid and well-defined path.

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