Data Science and Analytics is a very hot field, and demand for data scientists is still growing strongly.
Many universities stepped in and created many degrees in the field, primarily Masters degrees.
Back in 2017, we ran a series of articles looking at the best of these degrees in America, Europe and Online.
Luckily for you, we’ve now updated these comprehensive lists and added lots more masters programs.
The first of these lists has already been published – 2019 Best Masters in Data Science and Analytics – Europe.
In this post, well be concentrating on Online masters programs.
CS Rank is Top Universities Computer and Information Systems graduate programs rank for ranks 1-50.
They provide individual CS rankings for top 50 schools, and then ranges (51-100, 101-150, etc) for the next 450 schools.
To separate schools that have the same range of rankings, we added the Top Universities ranking for the divided by 10 to the start of the range.
Of course, this ranking isn’t 100% scientific in how it is calculated, but it does give a good idea of the schools that offer these courses.
We’ve included information from the 2017 version to give you an idea on how the schools have changed in the last couple of years.
As always, please let us know in the comments section below if we’ve missed any out and we’ll update the table accordingly.
27 units36 credits,32 credits32 credits12 courses40 credits, part-time tuition10 courses30 credits12 courses90 credits33 credits45 Credits hours36 credits90 credits30 credits, Mixed Online-Campus45 credits34 credits30 credits,33 credits33 credits30 credits33-credits online, 37 credits on campus38 credit hours36 credits36 credit hours48 credits33 credits48 credits, 6 terms52 credit hours30 credits10 courses, 30 credits part-time36 credits30 credits33 credits30 semester hours42 credits36 credits36 credits30 credits30 credits12 courses33 credits30 credits36 credits30 credits45 credits32 credits32 credits32 credits32 creditsResources:Related: var disqus_shortname = kdnuggets; (function() { var dsq = document.
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