Schools Grad school preparation: Should I take a probability class?

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Entering a PhD program in applied mathematics often requires a solid foundation in probability, which many graduate schools recommend. The discussion revolves around whether a student, who has substantial exposure to probability through physics courses and prior statistics classes, should take a formal Introduction to Probability course. While the student has covered most topics in the course description, there is concern about the potential impact on graduate school applications if the course is not taken. Participants emphasize the importance of formal coursework in probability and statistics, noting that it not only reinforces existing knowledge but also fills in gaps, particularly in rigor and proofs that may be lacking in physics curricula. Taking the course is viewed as beneficial for both application strength and future academic preparedness, as it aligns with the expectations of admissions committees. Overall, the consensus is to take the probability class to enhance understanding and improve graduate school prospects.
tjackson3
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I am (hopefully!) going to be entering grad school in the fall. I will be going for a PhD in applied mathematics. Many grad schools recommend that you take a course in probability before entering (it is strongly hinted that doing so will improve your odds of admission). Here's where the wrinkle comes in. I'm double majoring in math and physics. Within the physics department, I have had several classes that utilized and derived probability distributions (e.g. quantum mechanics, statistical mechanics, thermodynamics). As a result, I've had a good deal of probability in my time as an undergraduate. In addition, I took AP Statistics waaaay back in my junior year of high school, so I've had a "formal" statistics class. Here is the course description of my school's Introduction to Probability class (listed as Statistics 4321, so it's an upper level course):

Introduction to the theory of probability, counting rules, conditional probability, independence, additive and multiplicative laws, Bayes Rule. Discrete and continuous random variables, their distributions, moments and moment generating functions. Multivariate probability distributions, independence, covariance. Distributions of functions of random variables, sampling distributions, central limit theorem

The only thing in this description that I have not had in some class or another is moments and moment generating functions. So my question is: Should I take this formal probability class in order to show that I've had it and maybe learn a couple of things I didn't know before but largely hit on topics I've already covered, or should I take a different class? Moreover, would not taking this class damage my grad school applications?

Thanks so much for your opinions!
 
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If grad schools are explicitly saying that it helps your application, who are we to contradict them?
 
tjackson3 said:
In addition, I took AP Statistics waaaay back in my junior year of high school, so I've had a "formal" statistics class.

All due respect to your high school teachers, I don't think this counts. :smile:

tjackson3 said:
or should I take a different class? Moreover, would not taking this class damage my grad school applications?

Is there some reason you *don't* want to take probability? What would you take instead?

The course looks quite good to me, ideas in statistics will surely come in useful at some point if you're studying an applied subject. Not only that, I'd say that probability/statistics are both underestimated/understudied/under-appreciated by undergraduate students in general, at least it is in my experience within the UK. Unless there's some dream course you'd be missing out on in place of this one, I say take it. There's no harm in reinforcing the ideas you've learned in physics from a mathematicians point of view, and you may well have to take another probability/stats class in grad school so this would be good preparation.
 
If you have a physics undergraduate and are applying to a Ph.D. in applied math, then it will help your application a lot if you have coursework in probability and statistics. Probability and statistics is something that is extremely weak in the undergraduate physics curriculum.

Part of the reason I think (and the admissions committees) seem to think that a course on probability and statistics would be useful is that you learn what it is that you don't know.
 
Jack21222 said:
If grad schools are explicitly saying that it helps your application, who are we to contradict them?

+1

fasterthanjoao said:
All due respect to your high school teachers, I don't think this counts.

+1

I have a PhD in physics, and I have taken several probability classes offered by mathematics departments. There is no comparison. The probability you pick up along the way is a) very superficial, and b) lacking in rigor and proofs.
 
Yes, take Probability. I'm taking it in the Spring.
 
Hey, I am Andreas from Germany. I am currently 35 years old and I want to relearn math and physics. This is not one of these regular questions when it comes to this matter. So... I am very realistic about it. I know that there are severe contraints when it comes to selfstudy compared to a regular school and/or university (structure, peers, teachers, learning groups, tests, access to papers and so on) . I will never get a job in this field and I will never be taken serious by "real"...
Yesterday, 9/5/2025, when I was surfing, I found an article The Schwarzschild solution contains three problems, which can be easily solved - Journal of King Saud University - Science ABUNDANCE ESTIMATION IN AN ARID ENVIRONMENT https://jksus.org/the-schwarzschild-solution-contains-three-problems-which-can-be-easily-solved/ that has the derivation of a line element as a corrected version of the Schwarzschild solution to Einstein’s field equation. This article's date received is 2022-11-15...

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