I graduated in applied math
Waste of a degree for directly finding a job (unless you're smart and unlazy -- I'm neither), but employers seemed to like the fact that I had the analytical foundation.
You can do programming (I'm a db programmer) or analysis, but it's best to get some experience in a particular field. A math degree alone isn't as good as a math degree with statistics, economics, accounting, business, biology (bioinformatics) for most of the jobs out there.
If I could do it all over again, I'd skip the applied math (physics), and do straight math with a minor in statistics. Then I would have learned some SAS.
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What's more valuable in computer industry?bioinf
I will be attending a new university [UCSC] starting this fall and since I have only 2 years left for my bachelors I need to come up with a game plan. Basically, itâs between getting a degree in computer science with a minor in bioinformatics, OR getting a degree in c.s. and then going straight for master. What do you think is valued more by the employers? If I go for the masters what concentration would be the best? I was thinking either system programming or multimedia. Same thing with a minor, what is in demand right now?
P.S. I know there are a lot of people who believe the computer science field is dead and all jobs are getting shipped off to India; assume that Iâm not changing my major, simply because Iâm a die-hard computer geek.
Thank you in advance.
And a cheesespread too!
In practice, biotech jobs mostly involve the transfer of small volumes of water containing minor chemical contaminants precisely and accurately from one container into another.
Such jobs may also involve computer use and programming, public speaking, the reading and interpretation of research literature, writing, and the babysitting of electronic equipment and other hardware. A history degree could be good intellectual groundwork for a career in this field, given that 'biotech' grows out of the exploration of organisms that are essentially the outcomes and living records of millions of years of trial and error historical-biological events