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Review my plan: Master's in CS (Machine Learning) to Quant

I did my undergrad in ECE, and I am beginning my master's in CS at Columbia. I have done two internships, one in software and the other will be in ML/Signal processing. My plan is to do a good master's thesis, (hopefully relating to ML in finance) get another internship and go into a quant role. If this fails, my backup plan is just ML engineering, and my plan C is regular software engineering. I have experience in undergrad research and entrepreneurship

How does my plan look? I understand that an MFE is better for a quant role but I would much rather be an engineer than an analyst for some big bank so I decided to go the CS route. What's a good thesis topic? Do quants like theory or application?