<p>Hey guys,</p>
<p>First post, sorry if I mess up somewhere.</p>
<p>I'm a junior in college. Grad school thoughts have become pretty relevant lately. I think this is the time to research, correct me if I'm wrong. </p>
<p>Before I go any further, here are my two criteria:
1) I want to do quantitative/computational analysis
2) I want to one day go for a PhD and teach(personal goal)</p>
<p>I can't decide between a Masters in Financial Engineering(MFE) or an applied math degree such as Operations Research(OR).
Here are the quick facts:
Public PA school - Tripple Major
Current(forecasted) GPA: 3.9
Math curriculum: Calc I-III, Stats I,II and Applied Stats, Lin Alg, Discrete, others
Comp Sci: Linear/Non-Linear struct. Assembly, AI, ML, Computational Finance
Econ: Econometrics, Forecasting + Finance courses
Hypothetical GRE(based on previous st. test): V:570 Q:790 new: V:152(?) Q(170) will be taking them soon</p>
<p>When it comes to OR, most schools are very prestigious as it is a rigorous discipline.. but even bigger factor - half the programs are PhDs. I have no "real" research experience. I have an internship in "business data analysis/forecasting" and hopefully something good this upcoming summer. </p>
<p>The reason I initially started looking at MFE's is because the pay is really good. And we all want to get paid really well. On the other hand, the skill set acquired is almost identical(math part) and the cost is significantly higher. Also, MFE doesn't usually lead to PhD. </p>
<p>What do you guys think? Am I thinking about this the wrong way? Again, ideally, I would like to work in finance(or other lucrative field) to begin with and eventually teach on the side. Which program? School suggestions that I can start researching? Do I even have a chance of getting into a top school, given the one I'm currently attending? </p>
<p>Thanks for reading. I appreciate any feedback!</p>