Hi all! I’m struggling to choose courses to take this year before applying to statistics graduate schools for 2021 admission.
I’m in the 3rd year of a 4 year BSc+MSc maths+stats degree. The first two years were a foundation of undergraduate pure/applied maths and some probability/statistics.
I have to take 8 courses, and right now I’m looking to do:
Measure and Integration, Functional Analysis, Probability Theory, Stochastic Processes, Time Series, Statistical Theory, Statistical Learning, and Data Science.
Courses I’m considering:
Statistical Modelling (mostly on GLMs) and Markov Processes (another analysis/probability type course)
I’ve got 99th percentile on the subject GRE.
Do you think it would be better on an application to take perhaps another stats course (modelling) or another maths course (markov)? Or is my current course selection a decent balance of maths and stats as is?
Thanks!
