Help on designing data science curriculum from "traditional" offerings So I'm hoping to ask professionals for their advice here. My university doesn't offer a "data science" major and I'm cobbling one together from different departments. So far I have a math major with stat emphasis but I'm having trouble finding technology use in this program so I was thinking computer science for science credits. I also have a choice of an Information Management minor or a Business Analytics minor, both from the business college. 

So basically, I'm wondering:


Which areas of computer science should I focus on? (I can only take 2 aside from the intro CSI and CSII course).
Which minor should I go for? Analytics consists of applied econ analytics, marketing research, and quantitative analysis while the info minor is management, programming, busn intelligence (advanced excel), and "big data". Right now I'm leaning towards the info one because it seems to have more software in it, including SQL.


(I should also mention that I'm located in Las Vegas and my university even offers probability and gambling statistics but that's in the hospitality college and not sure that would be worth the trouble. It sounds interesting though, and might be good experience?). 

My advisors have no idea what I'm going for, partly b/c they're all in different departments, so I hoped someone from the real world job market might know a thing or two :-)
Of the traditional majors, I think computer science + statistics is the most obvious. You can substitute applied mathematics or even physics for the statistics major, if you want. Always keep the computer science courses.

If the choice is between information management and business analytics, given that you're already studying maths, it's hard to say. They're both pretty light-weight, and will add little to your math major. I would not consider them a plus per se as a prospective employer reading your resume. Unless they're cheap, I'd take online classes and get some practice instead.