I am trying to prepare for a PhD in Statistics and am looking for advice on how to prepare/gain admission to a good program.

I am looking at completing an undergrad in math and earning a masters in applied statistics (Already have an undergrad in Econ) or just completing a masters in applied math. Which of the two options would be more helpful in preparing for a PhD and in gaining admittance?

As well how much computer science/programming should one know? Do I need a minor in CS or the equivalent knowledge of, or just the basic intro to programming courses.

I had thought that doing completing the equivalent of a minor in CS would be necessary and I would be better off with the Masters in Applied Math while taking a Numerical Linear Algebra, Real Analysis 1 & 2, Math Stats 1 & 2, Stochastic processes 1 & 2, Optimization 1 & 2, and maybe the sequence of Numerical Analysis and/or Complex Analysis.

If anyone has any opinions or advice that would be great! I had wondered if Abstract Algebra of Topology courses would be helpful as well, there is a sequence of both offered in the Applied Math program I'd be in. I will have completed Cal I-III, Linear Algebra, Diff Eq, a probability course that does not require RA, and Discrete Math prior to the Master's. If I continue to do the undergrad only many of those courses are dual listed and I could complete them as an undergrad.

Any suggestions/advice outside of this is welcomed as well. Thanks in advance if anyone takes time out of their busy schedule to reply!

Cheers!

I am looking at completing an undergrad in math and earning a masters in applied statistics (Already have an undergrad in Econ) or just completing a masters in applied math. Which of the two options would be more helpful in preparing for a PhD and in gaining admittance?

As well how much computer science/programming should one know? Do I need a minor in CS or the equivalent knowledge of, or just the basic intro to programming courses.

I had thought that doing completing the equivalent of a minor in CS would be necessary and I would be better off with the Masters in Applied Math while taking a Numerical Linear Algebra, Real Analysis 1 & 2, Math Stats 1 & 2, Stochastic processes 1 & 2, Optimization 1 & 2, and maybe the sequence of Numerical Analysis and/or Complex Analysis.

If anyone has any opinions or advice that would be great! I had wondered if Abstract Algebra of Topology courses would be helpful as well, there is a sequence of both offered in the Applied Math program I'd be in. I will have completed Cal I-III, Linear Algebra, Diff Eq, a probability course that does not require RA, and Discrete Math prior to the Master's. If I continue to do the undergrad only many of those courses are dual listed and I could complete them as an undergrad.

Any suggestions/advice outside of this is welcomed as well. Thanks in advance if anyone takes time out of their busy schedule to reply!

Cheers!

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