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Why would IT companies hire someone with BS in mathematics or physics? |
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| Dec28-12, 03:00 PM | #18 |
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Why would IT companies hire someone with BS in mathematics or physics?
On the OP's point, my guess is that IT companies are interested in those who can demonstrate programming and analytical/problem solving skills, as opposed to those with a particular certificate or degree. People who graduate with a math or physics degree (and also those who graduate with an engineering or computer science degree) have these skills (or should have these skills).
Now on a second note, this thread (like other threads about computer science), computer science is not synonymous with programming. Theoretical computer science, after all, is a mathematical science devoted to the study of algorithms and the nature of computation -- you can spend your time doing research in this area without doing any programming whatsoever. That being said, I find it frankly hard to believe that there are people who graduate with a CS degree who are unable to do even basic programming, since every CS graduate that I have ever met were more than capable programmers. |
| Dec28-12, 04:00 PM | #19 |
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| Dec29-12, 10:47 AM | #20 |
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Because "computer science" isn't really a discipline, like a skill that you learn by rote and then you are a "computer scientist".
To take the example from the "Coding Horrorstories" article posted earlier: |
| Dec29-12, 01:36 PM | #21 |
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Now I may be mistaken about this, but the fact that so many who graduate from CS programs don't possess these abilities suggests to me that there is a serious problem with how the curriculum is taught in many schools. As an aside, many of the people I know who graduated from a CS program often either double-majored with math or pursued minors in math, physics or another scientific field, so my sample population is highly skewed. |
| Dec29-12, 04:24 PM | #22 |
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For my sake, I hope employers in programming look upon physics graduates as favorably as in this thread.
I had no formal programming until my 3rd year, where I had to learn to use LabView for a lab course and had to build some virtual devices with it, essentially "pictorial programming". This is where I learned the basics of loops and logic. The semester immediately after that I had a 'numerical methods' course where I did all the basic stuff you can do with a high level language(scilab, a freeware matlab): linear algebra, ODE's, integration, and some Monte Carlo. I found it really easy to transition to Fortran for my senior project. I have trouble believing I am better equipped to code better than even a bottom end CS grad. Everything I can do probably falls under recursion; churning out some numbers to a file and plotting them. |
| Dec29-12, 06:11 PM | #23 |
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My experience backs up what some of the others have said - it's how you think and deal with problems that counts. My BSc is in astrophysics and I had no problems getting computer/engineering job offers when many of my CS and engineering friends were struggling. One company offered me a starting salary band that they normally reserved for PhD-level CS or maths entrants, based on a combination of aptitude tests and both team and individual problem solving (I didn't believe it either!
). One of my first observations once I'd got a job was that many of the more flexible systems engineers turned out to be mathematicians or physicists. I suspect one reason is that physics and maths tend to proportionately attract more people who say things like "Ooh. That's interesting." or "Why does that happen?" or "I wonder what happens if I do this? mu ha ha ha." than does engineering or CS - which are seen as a sensible career paths and may therefore be a more likely choice for those who ask fewer of the "right" questions.
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| Dec29-12, 09:36 PM | #24 |
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What the evidence seems to show is that by attending college, students 50 years ago used to improve their critical thinking skills by a certain amount (about 1 standard deviation when mesured against the bell curve of the population of students), but nowadays they only improve them by a smaller amount (about 0.5 std dev). This holds true even when you control for the different population of students going to college these days. |
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