I am about to graduate from a masters program in Data Science. I had a 3.75 gpa before my last semester and it dropped to a 3.444.
The reason for this drop was because I was focusing on my research project and we were trying to go through the rounds, focusing on ICML rebuttal, and NeurIPS submission however we withdrew from both to polish the paper more unfortunately that led to a drop in course grades.
I am able to continue research with my professor after graduating, but I need to work at best buy part time to maintain the bills. I am wondering if I should consider retaking these courses: Intro to Big Data (B) and Python and Mathematics for ML (B+). I got a C in Data Structures and Algorithms but that was an elective. During my masters program I received an A in Machine Learning, Reinforcement Learning, and Deep Learning. However, at the time I did not do as much research as I do now.
I am planning to apply for Phd this Fall and try to submit my paper to ICLR. Do you think I should try to retake these courses, how much of a red flag will this drop in grades look like for top 20 Phd programs?
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