I am currently a senior student studying industrial engineering at a university that has both incredible industrial engineering and computer science departments. Over the last 4 years, I have taken enough CS credits to receive a minor, and I believe I have found a passion with CS, specifically data science as opposed to my major, IE.
My question is how does one go, at least in today's world, from having a B.S. in an engineering field to working in data science without having a degree in computer science? I believe that I meet most requirements for data science positions and have a deep understanding of statistics, optimization and mathematics. Though, I have found that most companies won't even continue looking through your resume without having a specific degree in the field.
I am seeking any sort of advice from the professional world and data science community. I have reached out to my academic adviser, and that was absolutely no help.
My last question essentially comes down to this: Should I just study all of the undergrad comp sci classes in my free time and go to graduate school, or do I pursue other resources such as online certificates in areas like machine learning and data science?
Sorry for the long post, and I appreciate any sort of advice or criticism. Thank you.