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Showing posts from March, 2022

Computer Science vs. Business Analytics

I’ve been asked enough times by current or prospective students about how the Business Analytics concentration in the business school compares with Computer Science (C.S.) that I thought it was time to post about it to make the answer easily accessible. I will first give (very terse) definitions of C.S. and Business Analytics, and then compare them. C.S. is the science and art of writing high-quality code, usually to solve problems or build applications at a “production quality” level, i.e. good enough to be deployed for many people to use in many ways. (I’m no defining “good”, “quality”, “many”, etc., since that would require a book, not a post; I’m also ignoring the hardware side of C.S.) Business Analytics (as the very name implies) is designed to give people headed into a business career the tools to consume data and make better business decisions. These skills are critical in any data-driven industry, e.g. finance, marketing, retail, logistics, sports, etc. (I personally thi