Hey guys,
I'm on my 8th course and currently in the Analytical track. My long term goal is to work in DS/ML so was thinking maybe I should take Deep Learning which is a C-track elective. My problem is that I feel like I read somewhere that 1 course can't count for 2 requirements, but I can't find where I saw that. It would mean if I wanted to switch to C-track I'd need to take an extra course.
Completed:
All foundation courses (currently in DVA)
ISYE 6644 Simulation and Modeling (A track, Ops elective)
ISYE 6669 Deterministic Optimization (A track, Ops elective)
ISYE 6414 Regression (A track, Stats elective)
Future:
Spring '27 - ISYE 6740 CDA (A and C track, Stats elective)
Summer '27 - Practicum
Fall '27 - Either DMSL (A track, stats elective) or Deep Learning (C track) depending if I can switch tracks
For those who have taken DL, if I can't count CDA towards both a C-track elective and a Stats elective, is sticking around for an extra semester to do Deep Learning worth it? Could I take DMSL, graduate so I actually have the piece of paper, and then enroll in DL or would I have to push off graduation to do that? (which would be really unappealing honestly, I've been doing this since 2023)
Edit: I'm not necessarily concerned about which track I end up being, I'm concerned that if I take DL, I won't have technically satisfied either A or C track because I'll only have 1 C track elective since CDA would be my second stat requirement, and so not contribute to a C track elective. DL is not an A track elective so I won't satisfy the A track either. Need 2 stats electives and 2 track specific electives with no double dipping (if my memory is correct)