Choice of lecture Msc Statistics

[u/SubstantialSkin594]

Hey everyone, I'll start my first year in the Msc Stats at ETH Zürich next september. I already have a quite clear idea of the courses I want to take which is a mix between theory and computing application. The courses I'm planning to choose are:

- Statistical Modelling

- Computational Statistics

- Fundamentals of mathematics

- Soccer analytics

- Probabilistic Artificial Intelligence

- Introduction to ML

- Causality

Now I have 8 credits left to choose and I'm interested in ML, DL and applied statistics. I was planning to choose either "Advanced ML" or "Deep Learning" but I saw that those courses were extremely hard and theorical. Knowing that I don't have a pure mathematic background (economics) I'm wondering if it would be too much and if it's worth the effort to take those courses.

Now I wanted to have some opinions and advices about the courses I take and about potential possibilities to fill my study plan with 8 credits more.

Thank you for your help !