Which path is better?

I’m on an Erasmus and have a lot of free time, so I want to dig deeper into economics, especially the math/computational side, but I’m not sure which path to take. I’ve thought of two options: 1. Go through all of QuantEcon’s Economics with Python courses (intro, intermediate, and advanced) + Microeconomic Theory by Mas-Colell. 2. Study Dynamic Programming by T. Sargent + Econometrics by Wooldridge + Kaggle courses + Microeconomic Theory by Mas-Colell.

My goal is to finish one of these by June 2025, and ideally be able to do some research/programming on my own by then. Which path should I choose to make the best use of my time and build both solid and applicable knowledge? Or if you have a better idea, please let me know!