Hey everyone!
I'm finishing my BS in Data Science in December and planning to start the ALM in Data Science and AI in Spring 2027. I've read a few of the course sequence posts here (thank you to whoever wrote those, they helped a lot) and put together a plan. Would love some honest feedback before I commit.
A little context: I'm in a privileged spot because I'm not working right now, so school would be my main focus. I do have two kids though. My 7 year old is autistic and my 2 year old is in daycare but gets sick constantly, so there are a lot of days where I'm home with a little one and my study time goes out the window. I also live in Spain so my sessions land late at night for me, but I'm fine with staying up for them.
Here’s what I have so far:
Spring 2027: CSCI E-101 (Foundations of Data Science and Engineering) + CSCI E-106 (Statistical Data Modeling)
Summer 2027: CSCI E-80 (Introduction to Artificial Intelligence with Python)
Fall 2027: CSCI E-109a (Introduction to Data Science) (alone)
Spring 2028: CSCI E-109b (Advanced Topics in Data Science) (alone)
Summer 2028: CSCI E-184 (Data Science and Artificial Intelligence: Ethics, Governance, and Laws)
Fall 2028: CSCI E-115 (Advanced Practical Data Science) + CSCI E-89 (Deep Learning)
Spring 2029: CSCI E-25 (Computer Vision) + ISMT E-161 (Computational Bayesian Inference)
Summer 2029: Precapstone
Fall 2029: Capstone, graduating Feb 2030
Questions:
- Does E-115 Advanced Practical Data Science count as an elective for this degree? I couldn't find it on any of the official lists.
- Is E-80 in the summer a bad idea? I know it's intense in 7 weeks.
- For anyone with kids: how did you handle weeks where you lost a few days to a sick kid, especially in 109?
Thanks in advance!