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HI Vincent,

I want information about MS Program in Data Science/Data Analytics. I observed that most of the universities are offering 12 month program in DS.

Does this duration is sufficient to get job in the market. Or do we need to do some other course to become Data Scientist.

Also which are the best universities for doing MS

Thanks

Nitin

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Thanks Vincent for the list, but would like to know does the duration of MS program matters ? Generally MS degree duration is 24 months where DS MS degree is around 12-14 months.

I thought the 10 month program at NC State was sufficient but it depends on your background and aptitude for an analyst or data scientist role.  It was enough for me to learn and become very proficient in SAS and start learning R and a few other analytic tools.  I came from a math and stats background so that wasn't a problem for me, I concentrated more on my programming and consulting skills.  I basically learned enough to get my foot in the door but since then I have been a sponge, learning more advanced methods, programming languages, tricks of the trade and all about the different hardware that is used.

I can't speak for the other programs, but NC State was top notch.  The faculty is second to none.  Look at the different programs and what classes they offer and programming languages they teach, some are nearly identical and some are different.  It all depends on what path you want to take.

I hope this helps!

Hello Nitin,

If you are looking for Data Mining program Oklahoma State University has a very good program through which i have gone through 3-4 years ago. please go through the following and let me know if you have any questions. http://spears.okstate.edu/sasosu/sasosu/program/

Hi Nitin,

Refer to Master's in Data Science. It has all information in detail and the universities list that provide Masters program in Data Science/Analytics.

I'm currently doing my Masters from UTD in Computer Science with Data Science as my major track. I referred to this one while choosing universities.

Thanks & Regards,

Prasad

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