Hey Eli, I'm in a computational biology PhD program at CMU-Pitt and I was asking your exact questions about 6 years ago. I ended up doing a computer science undergrad, but I'm not sure that I'd recommend that. I think it would be best to start with your 2nd and 3rd questions, because I think the most important thing is what you picture yourself doing. You've probably seen the Bioinformatics FAQ [1]. It has some explanation of terms like computational biology, but you'll notice that people disagree over these definitions. At least here in Pittsburgh, "bioinformatics" signifies a focus on the biological data and how to manage and extract information from it, whereas "computational biology" is a broader term that signifies a focus on the biological process that is creating the data [2]. I have heard people consider the two fields the complete opposite of those descriptions as well, but whatever you want to call them, the question remains whether you'd like to target biological processes or the practical problem of managing the information that comes from biological processes. For the latter, my opinion is that a computer science degree with some good statistics and biology courses mixed in wouldn't be a bad setup. For the former, I think it is a bit trickier and more based on the type of biology you're interested in. For instance if you are interested in structural biology, a solid background in physics and biochemisry is very helpful. Whereas if you're more interested in genomics, machine learning and statistics are essential.
My personal opinion is that unless you are an extraordinarily active and energy-filled person (and I do know one such person who was able to do this), it is difficult to be able to get a strong background in all of the fields that a bioinformatics undergrad degree dips into. You just become spread too thin. A common perception that I agree with is that it is best to get a fundamental degree like biology, math, computer science, statistics, physics, biochem (if you can find one that has a perspective you find natural) and then augment it with a few courses in the stuff you're missing... at least if you're aiming for grad school. For your first question, they will all care at least a bit about your SATs. You might be able to find some indicators at www.review.com or elsewhere about schools that tend to use SATs less, but I'm not sure how valid those are. If you can afford it, I would just write some good essays and apply to as many schools as you can to increase your chances. good luck! Keith refs: [1] http://wiki.bioinformatics.org/Bioinformatics_FAQ [2] http://www.compbio.cmu.edu/background.html On Wed, Apr 29, 2009 at 3:42 PM, Eli Draizen <[email protected]> wrote: > Hello- > > I am not sure if this is the right place to post this but I do not know > who else to ask. I am currently applying to college and want to study > bioinformatics. I have a few questions which my college advisors cannot > answer: > > > > 1) Which schools have the best programs and do not care about > SAT's? > > 2) Would it be better to double major in biology and computer > science and then be more focused in grad school? > > 3) What is the difference between the major's bioinformatics and > computational biology? > > > > Thanks for you time, > > Eli Draizen > > _______________________________________________ > BBB mailing list > [email protected] > http://www.bioinformatics.org/mailman/listinfo/bbb > _______________________________________________ BBB mailing list [email protected] http://www.bioinformatics.org/mailman/listinfo/bbb
