<p>Hey guys,</p>
<p>I'm a sophomore math major at NYU, recently declared. My preference would be an Applied Math degree but they don't make a distinction at NYU so I was hoping some experienced forum-goers would be able to advise me on elective selection so I could take more applied math oriented classes.</p>
<p>I would consult my academic advisor but he is out of town and I would also like a second opinion.</p>
<p>There are NYU's base undergraduate requirements: Calc 1, Calc 2, Calc 3, Linear Algebra, Analysis I, Algebra I and one elective must be either Vector Analysis, Analysis 2, or Algebra 2.</p>
<p>As far as electives go, there are a lot of possibilities (listed here Undergraduate</a> Course Descriptions).</p>
<p>I'm most interested in numerical analysis, combinatorics, theory of probability, mathematical statistics, Ordinary Diff. EQ, Partial Diff EQ, Complex Variables, and maybe transformations and geometries. I only need to choose 3 electives since I'm doing the premed track so my question essentially boils down to this; Which of these classes, even from those I didn't list, fall under the category of "Applied Math" the most? Which are the least proof heavy and which are the most?</p>
<p>Thanks for any help!</p>
<p>What applications are you interested in?</p>
<p>233 (probability) and 234 (statistics) are likely useful in medicine (lots of medical research papers do statistical analyses). They can also be useful in finance if you choose to go that route.</p>
<p>If actuarial careers are of interest, see [Be</a> an Actuary](<a href=“http://www.beanactuary.com%5DBe”>http://www.beanactuary.com) and look up the VEE requirements.</p>
<p>Probability, statistics, differential equations (and partial) lie more to the applied level than others in the list.</p>
<p>It seems as though you don’t really understand what applied mathematics is, as none of those courses are especially applied. Most of the ones you listed are far more theoretical and analytical than applied. I would just take the courses that interest you.</p>
<p>Out of the list that you gave, only partial differential equations is the course that would give the most “applied” problems. Still, unless the course description and/or the course title and/or the professor puts an applied slant on the course…then you have to assume that there will be theory in the course. Usually a combined “Probability & Statistics” course will give the applied slant of both areas. Most of the time, separate Probability (you actually said Theory of Probability) and Mathematical Statistics courses will involve a great deal of theory in those two areas.</p>
<p>Many schools have separate Numerical Methods and Numerical Analysis courses where Numerical Analysis will be more into theory and the study of error and Numerical Methods will go more into the actual computational methods and less on theory and error.</p>
<p>Combinatorics can also be tricky. I know that at one of the U-Maryland schools in the area, there is a Combinatorics course in the math department and an Applied Combinatorics course in the CS department and the two courses are not cross-listed.</p>
<p>Some schools even have applied math courses in either their own department and/or its own course-numbers (like AMATH or AMTH or AMS for applied math & statistics).</p>
<p>Check with the department to confirm.</p>