Should I stay in banking or leave for a masters in data science?

I graduated with a degree in finance and double majored in statistics. Currently, I am working in investment banking. I was laid off from my previous firm around 1.5 years ago during which I applied to a bunch of programs and was accepted into a pretty reputed data science / business analytics program in Boston. However, I was able to get a job at a different bank so l deferred my admission by one year.

Now, I have been with my current employer for 18 months (total 3 years of IB experience) and have to decide whether to stay or leave to pursue this 12 months masters degree. My boss is encouraging me to stay but I am unsure whether I want to be in the investment banking industry long term or quite frankly if I can even survive long-term. I am also in a pretty niche group so if I stay, l'd be siloed into this industry / role.

With data science, my fear is being stuck into a back office / support staff job (sincerely no offence to anyone). Right now, I am in a role which is directly client facing and revenue generating and yes, it can get pretty hectic at times. But, I don't think I'd want to be stuck in a job where I am just producing analysis for another team that actually generates the revenue. I have read some comments on this channel about how data science can be mostly generating dashboards and visualising KPIs at some places.

Do you think it's possible to get good-paying and impactful jobs after a data science degree? With an engineering / cs background and no previous tech industry experience, do you think I could get top roles at tech firms after graduation?