masters in data science website

MastersInDataScience.org is a new online resource that features a comprehensive directory of Master's degree programs in data science (and interdisciplinary programs in related specialties) as well as entertaining and history-rich discussions of the uses of data science in various industries.

In addition, the website features many resources related to STEM, including resources for women who wish to pursue STEM-related careers as well as a complete guide to STEM for kids organized by age and interest and a section specifically focused on resources and activities for girls.

Who is a Data Scientist? 

Data science was developed to handle the flood of big data engulfing the world. A blend of statisticians, computer scientists and creative thinkers, data scientists have the:

Skills to collect, process and extract value from giant and diverse data sets
Imagination to understand, visualize and communicate their findings to non-data scientists
Ability to create data-driven solutions that boost profits, reduce costs and even help save the world
Data scientists work in every industry – from the Defense Department to Internet start-ups to financial institutions – and tackle big data projects on every level.

So, if you are interested in pursuing a career as Data Scientist, check out the MastersInDataScience.org. Here are just a few features of the site that we think make it valuable:

  • Comprehensive directory of Master's degree programs in data science (and interdisciplinary programs in related specialties) - since so many schools are launching Data Science programs, we're adding to this directory almost every week http://www.mastersindatascience.org/schools/
  • Entertaining and history-rich discussions of the uses of data science in various industries http://www.mastersindatascience.org/industry/

The portal is connected with many prominent organizations in the industry - for example, it is listed as a resource by the American Statistical Association (http://www.amstat.org/education/bigdata.cfm), the National Institutes of Health, the International Technology and Engineering Educators Association, and DataScienceCentral.com, as well as Yale, UC Berkeley, and many other universities.

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