I'm curious, do you guys think an applied statistics degree is outdated for AI/ML roles?

I'm doing a MS in Data Science with a focus on applied statistics and computational math. So I'm taking various courses in probability theory, nonparametric statistics, Bayesian data analysis, etc., and one course in machine learning under the math department.

They're applied courses so R is used (probability is all theory though) except for the machine learning course which uses Python. This isn't a concern for me since I'm familiar with Python and I can just do all of my personal projects using Python.

But it seems like for Al/ML roles, preference is for computer science students. I’ve also seen CS students easily become Data Scientists so I wonder if I should have gone the MS in Computer Science route instead.

I’m curious, is what I’m learning outdated for AI/ML roles? Are there any additional CS courses I should take to be more competitive for AI/ML? I did take Programming I/II in Java, and Discrete Math in order to be accepted into my degree program.