# Thread: Help Me Pick Math/Stat Classes for Senior Year

1. Good post? |

## Help Me Pick Math/Stat Classes for Senior Year

Hi all,

I have a few class choices for senior year to decide between, one in regular statistics, one in mathematical statistics, and one in real analysis. Help me pick which two of the following three courses will be most worthwhile.

Note:
I can only take all the classes I list in the spring, so they likely won't be seen by graduate admission committees, and definitely not the grades, so this is just to help me out when I begin my Ph.D. program. Also, I will already have two semesters of real analysis (intro real analysis and classical analysis 1, both honors), two semesters of mathematical statistics (probability theory and...mathematical statistics), and one semester of regular statistics (applied regression analysis). Also, if you say to just to pick one (or none) and focus on research (I have an undergrad econ thesis due in the spring) or other interests instead, that would be cool too, but then remember that if I take just one of the two stats. courses, I'll get a stats. minor (I'll already be an econ and math double major), and that's something I can probably list on my apps.

Here's the list (remember, pick 2 and only 2):

1.) Classical Analysis 2 (aka undergrad real analysis 3, the highest RA meant for undergrads):
Differentiation of functions from Rn to Rm, implicit function theorem, Riemann integration, Fubini's theorem, Fourier analysis.

2.) Stochastic Modelling: <----- that's what I refer to as mathematical statistics
Review of distribution models, probability generating functions, transforms, convolutions, Markov chains, equilibrium distributions, Poisson process, birth and death processes, estimation.

3.) Applied Time Series Analysis: <----- that's what I refer to as regular statistics
Identification of models for empirical data collected over time; use of models in forecasting.

Thank ya!

2. Good post? |
At this point more math has diminishing returns on the value of your application to a PhD program. As a dual math/econ major with Real Analysis, (and assuming all the other stuff that precedes that) you have the math anybody would want.

So More math is more of a benefit to the field you intend to pursue and whether you want to do theoretical work, or empirical work. (that would tip things from say modelling to time series). Look at papers in the econ fields you are interested in and see what techniques people are using in top publications.

I am always in favor of "more math" ceretis paribus. Are there other areas you have neglected? e.g. computer stuff, maybe a psych course if you are going to do some behavioral work, another econ course.

Doing more research has a secondary benefit - it builds relations with faculty for good LORs. A nd strong LORs (along with more research) trump "one more math class" IMO.

3. Good post? |
The only other areas that I feel I've neglected (as in my other thread) are mainly in political science and foreign relations, where I feel a lot of my interests fall alongside development economics. And in terms of life skills, foreign languages...

I should be good for econ courses. I've taken more than I need. Computer stuff, I'm not sure about. I've taken an Excel/Access course, intro (easy) C++, and a course where we used MATLAB, but it didn't teach us MATLAB (he helped us a lot with that, so my knowledge is limited). An econ professor once told me not to worry about programming languages until I need them.

4. Good post? |
I'd look more for basics than for the applications, hence 1,2. I guess this (especially 2) will ease your first year quite a bit.

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