I am a junior doing a major in electrical engineering, with a minor in mathematics (maybe a double major). The university I am going to doesn't have a masters program for electrical engineering though. I am also a non-traditional student (in that I am in my late twenties, and didn't start college until I was 27.) I have a mortgage and a life where I live, so up and moving to a different city for a year or two for a masters degree isn't a very appealing idea. My university does offer a masters degree in "Computational Mathematics" that I could get into with my current course of study. Essentially it requires a BS in either EE, Mathematics, Physics, or computer science, with the right grades and courses to get into. Is this in anyway useful or would be seen as a benefit in the job market? Or will it essentially be seen as a useless add-on, and I would be hired at the pay-scale and position of a person with only a BS in EE? I am told by professors, and I read here that an with an MS in engineering one tends to start out at 7k-10k more than someone with only a BS. Is that sort of thing ONLY for an MS in engineering, or is that essentially an engineer with a MS in a STEM field? In short how would an MS in computational Mathematics on a resume be perceived in the engineering industry? Second question. If the MS in math is essentially useless, then how bad are online Masters for engineering? It seems hard for me to imagine that they could be useful given that you don't have access to all the relevant expensive lab equipment, but a number of schools offer them. Would this be seen as just as good in industry, or will it again be almost like I don't even have the Masters? Oh, I guess one final question. If I decide to go ahead and do the double major in math, will it give any benefit in the job market? Or will companies care only about the Engineering degree, and the math degree won't even matter? Will it be a useful for getting a higher salary, or is the engineering degree the only thing that people hiring will be looking at? Thanks in advance to those working in the field that can offer some insight or advice.