<p>Im a computational math/econ major, soon to be senior and deeply passionate about science. and that's my problem, I love physics, biology, math, comp sci, econ all almost equally much. I want to continue my education in grad school, but is there any way to do it while maintaining any breadth? Am i being unreal? do i have to get serious about a subject and relegate the others to free time/hobby? should i just keep getting masters until my thirst for knowledge is sated?</p>
<p>In one sense, yes, you do have to pick one thing.</p>
<p>In another sense, you could devote some serious time to looking for an interdisciplinary program that encompasses several or most of your interests. There is surely some program out there that blends all of the subjects that interest you.</p>
<p>Why did you major in math/econ? You should of got an engineering major. It might not be too late. Get an engineering undergrad and a MBA. Or just go to medical school. You could always be nuts and get a MBA with your MD too.</p>
<p>You sound like my S, who is an econ-math major with a physics minor and an interest in computer science. He's checking out grad programs in Applied Math, which is inherently multi-disciplinary. You might also look at Stanford's Institute of Computational Math and Engineering. Scientific Computation at University of Texas, Austin, and computational math at Princeton. In other words, there are programs that teach you numerical methods that you can apply to biology, physics, economics, finance. You may ultimately have to make a choice when you choose a research topic, but not yet.</p>
<p>One place to start gathering names of programs you might want to look into is the website for SIAM (society for industrial and applied math)</p>
<p>Hope I haven't just increased his competition for grad school.:)</p>
<p>yeah, these are all the conclusions i've come to as well. i've looked at interdisciplinary programs, but found they usually still want you to focus on a specific field and bring that perspective to the program. so i guess applied math it is, since there is really nothing that i might eventually focus on that doesn't use applied math. </p>