Hi, I'm a rising senior majoring in Statistics/Bio statistics with minors in computer science and math. I'm at a top 20 school (if you go by US News rankings). I'm looking to apply to CS grad programs for ML. I wanted to know if my lack of a CS major will be held against me. I transferred to my university as a junior (was previously a stats-cs major at my old college) but wasn't able to declare a CS major due to transfer credit issues. I decided to go for math and cs minors instead. At my current school I've been working with two professors: one in statistics/ml and the other in database research since winter of my junior year. I also have a year's worth of research experience from my old school (database prof for all of sophomore year). GPA at current school has been a 4.0 so far, and 3.75 at old school.
In terms of CS coursework- I've took data structure, algorithms, analysis of algorithms, discrete math, machine learning, info retrieval, and a systems/architecture course. Math courses beyond the ususual (calc,linear algebra,basic prob/stats) include optimization, analysis/real analysis, stochastic processes, graph theory, numerical methods, and numerical analysis.
I do think I've taken more math and stats classes than most vanilla CS majors. Would my background be good enough for schools like UWashington, CMU, Berkeley? My school also offers a one year masters degree in CS, though without any funding. I could apply to some thesis based masters programs that provide RAship, but there don't seem to be many.
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