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lovethedata

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I am currently employed in Virginia working in research for a non-profit. I'm looking to get a MS in analytics part-time at an institution in which I can continue to keep working. This obviously limits my options a bit. Currently, I've been seriously looking at two programs:

M.S. Data Analytics Engineering George Mason University
M.S. Government Analytics Johns Hopkins

I haven't applied yet, and am still doing a lot of  research in terms of best fit for long term goals (including other programs). However, I did want to get perspective on a basic issue of cost vs. name recognition. Both are fairly new programs. From what I can decipher from initial research and reviewing of the coursework, it would seem GMU's program would provide more of the skills I'm looking for. In addition, the entire program would cost be about $20k in-state tuition with my employer fronting half of that. For JHU, I'll be responsible for around 35k. There is, however, the benefit the John Hopkins recognition (ultimately I'm hoping to move away from Virginia down the road). I'm personally leaning more towards the GMU route, but it would appear others online with this same question got a much more definitive response towards JHU.

 

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George Mason is also a pretty well-known school. Given that you'll be doing the degree part-time while working, I'm guessing that your work experience will be more important when looking for future jobs than the name on your diploma. Save yourself the money!

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I faced the same situation as you: choosing between a value school or a name brand school in the area. I finally made my decision after visiting the campuses and talking with people there. The visit really helped to cement my decision so if you haven't had a chance to do a campus visit, perhaps that will help?

 

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