How important is the choice of degree for data scientists?

henyfoxe

When looking for a data scientist, what academic degree is considered the most valuable? The field isn't simply math or computer science, but it requires elements of each. What would be the "gold standard" degree for individuals in data science?

Topic: Big Data
Answer this Question

Answers

5 total
jiexiao
Vote Up (4)

welcome to our website:

------- http://www.likesurprise.com/ --------

if you like to order anything you like.

More details,

please just browse our website Quality is our Dignity;

Service is our Lift.

enjoy yourself.

thank you!!

zacsifac
Vote Up (6)

Not only that but more and more people are coming with a diploma offered by an online university and they have the same skills if not better than the students coming from "regular" universities. The new online age is upon us if we like it or not !

nigelp
Vote Up (5)

You're right in supposing that it's more than just a combination or mathematics and computer science - and the societal and cultural impact of big data means that a whole new paradigm of degree-level study in this field is under development. It's amazing to think that it's nearly 50 years since Gordon Moore made the observation that gave rise to the 'law" that bears his name: that digital data storage capabilities appear to double about every two years (though he was talking about transistors on integrated circuits!) So now business analytics and management concepts also have a significant role to play in this field of education. The College of Computing and Informatics at UNC Charlotte has been a trendsetter - Northwestern and Oxford (UK) are two others to watch.

delia25
Vote Up (8)

You are not going to have to wonder much longer, there are a number of academic programs that are specific to the field.  Back in my old home city of Charlotte, UNCC is offering both Masters and Ph.D. programs in Bioinfomatics, which I suppose sounds better than BigDataology.  A new Masters program is planned in Business Analytics and Infomatics, which will combine the study of analytics with business management and processes.   I'm sure that there are other schools looking into the field as well.  

jimlynch
Vote Up (13)

I am not sure what specific degree would work best, but here's an article on how to become a data scientist that has some possibly helpful suggestions. See also the comments after the article for additional ideas.

How do I become a data scientist?
http://www.quora.com/Career-Advice/How-do-I-become-a-data-scientist

Ask a question

Join Now or Sign In to ask a question.
The Donald wants FundAnything to be like Kickstarter, only gaudier
Many companies are focusing their big data initiatives in areas like sales, marketing, customer service and R&D, but other functions like logistics or finance may offer even greater ROI.
If you like access to government data, like petition signatures or broccoli crop yields, the White House has got you covered
MapR uses the LucidWorks Search while Cloudera releases its SQL-compliant Impala.
Any discussion about the challenges of big data will eventually come to the talent gap--the demand for people with big data analytics skills is expected to dramatically outpace supply over the next several years.
GE, Allstate try crowdsourcing contests where external brainiacs compete to produce the best answers to big-data analytics questions.
In launching Pivotal, the partnership of EMC, VMware and GE is attempting to refocus the conversation in the market about how a new generation of applications that use big data will be built.
College business students need to gain a grasp of technical issues related to cloud computing, big data, security and other network issues they're likely to come across in their careers, so HP is now offering its first technical associate certification for them to cover these topics while in college.
There's a shortage of executives and business leaders with the skills to manage big data and cloud teams. EMC is seeking to change that with a new series of courses.
Making use of the petabytes of patient data that healthcare organizations possess requires extracting it from legacy systems, normalizing it and then building applications that can make sense of it. That's a tall order, but the facilities that pull it off can learn a lot.
Join us:
Facebook

Twitter

Pinterest

Tumblr

LinkedIn

Google+