Ask HN: Engineering Degree: Mathematics and Statistics vs Software?
I am torn between having an engineering degree in Statistics and Mathematics or in Software.
I am more interested in the first since the courses are data science oriented (R, Stochastic calculus, econometry.. etc) but as I live in a Third World country and want to seek employment abroad I am afraid employers might disregard my degree as it doesn't come from a reputable university.
Software engineering universities here however are slightly more reputable abroad.
Any thoughts?
5 comments
[ 3.4 ms ] story [ 25.0 ms ] threadWhy am I recommending this? Because I started with software engineering. And now that I want to do data science I know nothing. I find it really hard to get started with free courses online. I lack foundation in strong stats, linear algebra and etc. It is just so difficult to acquire these from books for me.
I did do quite a bit of open source projects both on my own and joining into other projects (LyX is a good match for a math degree :-)
If I had to do it again I'd learn statistics properly now, I find this is actually a useful part of mathematics for what I do these days (failure analysis and data mining). I believe that if you do your own software projects it should be good enough to be hired.
But, let's move past the "no trouble getting a job" part. If getting a job is your goal, then choose a CS degree. If getting job doing a particular form of programming is your goal, then focus on a CS degree with a speciality in that type of programming.
Getting a Math degree is a super way to get a job in programming, but not as good as a CS degree. It's a matter of not closing a door, versus opening it.