I've recently come across a dilemma, which I hope I can get some opinion on.

I am currently finishing my undergrad degree in mechanical engineering. I have a great interest in statistics, especially mathematical statistics. There is a graduate program on mathematical statistics with applications, which I am very fond of.

There are many subjects such as modeling in R and similiar, applied stuff, but also some very theoretical subjects - expecialy measure theory and probability topics.

My question is the following: As I have about half a year to prepare, Is it possible for me to obtain sufficient knowledge in mathematics in order to apply and succeed in such a program. I realize I don't have sufficient algebra and real analysis knowledge - knowledge very important to measure theory.

If your answer is yes, what are some specific topics I should start with or which topics should I gain knowledge of first.

Thank you very much.

P.S I am currently going through Rudin and some Algebra, are those O.K?


closed as primarily opinion-based by user91500, Watson, Alex M., John B, Jean-Claude Arbaut Apr 16 '16 at 9:48

Many good questions generate some degree of opinion based on expert experience, but answers to this question will tend to be almost entirely based on opinions, rather than facts, references, or specific expertise. If this question can be reworded to fit the rules in the help center, please edit the question.

  • $\begingroup$ Have you studied elementary (non-measure-theoretic) probability? $\endgroup$ – Bungo Apr 16 '16 at 5:48
  • $\begingroup$ Yes, I have studied it. $\endgroup$ – user3523464 Apr 16 '16 at 10:15

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