I'm working on a Masters in CS right now and have been interested in heading into some form of 'Data Science', whatever that may entail. Does this mean that on

I'm working on a Masters in CS right now and have been interested in heading into some form of 'Data Science', whatever that may entail. Does this mean that only physics/math/stats majors are getting into this field? At my current place of employment this is the case for the data scientists; all have an academic background in one of these three fields, all have a Masters or PhD. I assumed this was because the head data scientist had a long history with academia and thus had a predilection for academics. From my experience the data science concepts I have encountered thus-far seem pretty straightforward and I suspect that people are trying to make these concepts seem more difficult/arcane than they are by using notations/concepts only learned in academia. Am I wrong here? Is it actually a field which requires a PhD in Math to understand? My exposure has only been with toy examples (logistic regression, simple perceptrons, similarity algorithms, etc). How easy is it to get into the field without a heavy academic background?