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Ask Slashdot: Which Ph.D For Work In Applied Statistics / C.S.?
New submitter soramimo writes "I'm currently a Ph.D student in Machine Learning and Biology at a pretty good European university. As my lab is moving to the U.S., I have the chance to get my Ph.D from an Ivy League university instead of the one in Europe (without much additional work, as I'm close to finishing). However, I would be getting a Ph.D in Biological Sciences rather than Computer Science. As I'm planning to work as an applied statistician / computer-scientist / analyst in the U.S. after graduating, I'm wondering which path to take. Is a Ph.D in Biological Sciences frowned upon by technology companies, or is it out-weighed by the Ivy League tag? How big of a role does the type of Ph.D play in the hiring process in the U.S., compared to what you actually did (thesis focus, publication record, software)?"
Employers will care about what you did more than what your degree is named. There are lots people working in fields that don't correspond to the subject-name of their PhD degree.
If it weren't for deadlines, nothing would be late.
You're hiring a someone to be a computer scientist. Would you rather see them have a CS degree or a biology degree? Ivy League degree or Pretty Good European University? I think everyone is going to look at this differently. I know *I'd* rather see the CS degree. I wouldn't be overly impressed by Ivy League but I think a lot of others would be. I work in the the tech field along with people who have degrees in unusual areas (Dance?) but are technically top notch.
BTW, these days it seems a lot of resumes are searched for key words. If they're hiring a computer scientist - guess what keywords they're going to look for?
Bio-informatics is a good place to be an applied statistician. There are also good opportunities in neuroscience, especially if you want (or are willing to) do experiments. Some of the data analysis and acquisition code is pretty sophisticated, and a grad student from my last lab got a good CS job by doing that. Further, any lab that uses super-resolution or EM microscopy is a good place to look. If you tell me which school, I can perhaps give you a few names.
He once inserted random mutations into his code, just so he could have the experience of debugging.
In my experience when the lab moves the students either (1) get a degree from old university or (2) apply to new university and go through the qualification process over. I would check again, before assuming it is your decision. I even know a case, where a 3rd year grad student at Yale was turned down acceptance into Berkeley grad school
As someone who worked in High Finance, I can tell you that you are full of it. Most of the employees were science and liberal arts Ph.D's with very few of those degrees directly relating to what they were working on. My manager (I was doing fixed-income pricers) was a Chemical Engineering doctor, my partner on the project had a Ph.D. in english. There are other examples, but I'll stop there. All that matters is aptitude.
Personally when I'm interviewing for staff (in the UK), I only look at what university they went to, not what they studied.
I'm not sure what other countries are like, but over here everyone under 30 years old has a degree, so the only interest I have in their university experience is whether they went to a "Red Brick" (Ivy league equivalent) or a "modern" university (re-branded technical college or polytechnic)
The fact you have a degree shows your ability to learn. What you learned in the past 4 years of University is of less interest to me compared to your potential to learn over the next 30 or 40 years of your career.
I personally value the fact someone even managed to get in to Oxford or Cambridge higher than someone else's 2:1 "degree" from some "university" I've never heard of in the North of England. Sadly this is what happens when governments devalue higher education with misguided targets such as 50% of the population must have a degree.
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