MatthewSinger1 Posted January 5, 2019 Share Posted January 5, 2019 Hello, I will be applying for Masters and PhD programs in Economics. I am an Econ major and Math minor who has limited experience in truly theoretical math courses (I have taken real analysis and a course in probability theory). My question is whether I should take the second course in probability theory (with real analysis prerequisite) and complete the pairing, or a more applied upper-level course in time series analysis. For economics and econometrics graduate programs, I know theoretical courses are generally preferred but the time series course happens to be very pertinent to economics/econometrics so I am wondering which one would be looked upon better. The probability theory course is a 300 level (3rd year) while the time series course is a 400 level (4th year). I can get the same mark in both. Any thoughts are appreciated. Thank you very much. Quote Link to comment Share on other sites More sharing options...
Double Jump Posted January 5, 2019 Share Posted January 5, 2019 Take the measure-theoretic probability theory class. You will most likely have the opportunity to learn time series at a higher level during grad school. Quote Link to comment Share on other sites More sharing options...
MatthewSinger1 Posted January 6, 2019 Author Share Posted January 6, 2019 Take the measure-theoretic probability theory class. You will most likely have the opportunity to learn time series at a higher level during grad school. Thank you for the response. I might be working before graduate school, and the time series course would better serve my career. Do you think that the measure theoretic course would look better from a graduate admissions perspective? Quote Link to comment Share on other sites More sharing options...
Double Jump Posted January 6, 2019 Share Posted January 6, 2019 I think adcoms would be indifferent between the two classes. If you already have some understanding of measure theory, then I wouldn't say the probability class is a necessity. Quote Link to comment Share on other sites More sharing options...
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