If it matters: I’m a phd student in biostatistics, and my grades are awful enough that I might fail out before I can get a masters degree. The school recommended I retake some classes to prove I can actually do math before takings exams/starting research, and I want to make sure the classes I retake are actually going to help for masters admissions in case my non-retake classes go bad.
Actual question: I hope to retake maybe 1-2 course sequences. Which should I retake, if it matters for any of them? Options are
Regression, more or less (B-, B-, B- in sequence)
Inference (C+, C+, C+)
Analysis and Probability (B-, B-, C+)
Inference is most important, but not sure how important theoretical probbility is for master programs compared to regression. My math theory background was weak coming to grad school, but I worry low regression grades will hurt more in masters admissions. Hope this kind of post is allowed, stay safe everyone.