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Welcome to the Science Master's Education Website
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This clearinghouse is provided by the Commission on Professionals in
Science and Technology (CPST).
It contains the latest data and information about master's
education in science, mathematics and engineering. Here you will find a
database of over 2,000 programs from over 300 institutions as well as articles, tables
and data pertaining to science master's education and the master's workforce. The
clearinghouse was developed with funding provided by the
Alfred P. Sloan Foundation.
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What's New
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New Science Master's Education Book
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The Council of Graduate Schools (CGS) has published a broad and comprehensive guide to best
practices, activities and processes required to create a professional master’s program which
draws on the experiences of participants in the CGS Professional Master’s Initiative.
This book provides essential advice for graduate deans, universities and faculty on the
development of collaborative degrees as well as interaction with business, industry and government
to devise programs that respond to regional employer needs. The book is available from CGS by
clicking here.
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Updated Science Master's Education Tables and Graphs Now Available
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Science master's education tables and graphs have been updated to reflect the latest data
available from the National Science Foundation and other sources. This unique compilation
of master's education and workforce data is available by
clicking here.
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Report Outlines Differences Between Traditional and Professional
Master's Programs
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A report published by the American Institute of Physics entitled "Programs
that Match Every Interest - Master’s Degrees in Physics" updates the
discussion about differences between professional masters programs and
traditional academic masters programs.
Read the entire article
here.
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Featured Master's Program
Thursday, March 18th
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Statistical Science
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Program Description
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The Department of Applied and Engineering Statistics is the primary academic unit for instruction in statistical, probabilistic and applied methods within the School of Information Technology and Engineering. Broadly defined, statistical methods focus on collecting, analyzing and making decisions based on raw data. As such, statistical and probabilistic methods form a cohesive intellectual body of knowledge which is core to the interests of the School of Information Technology and Engineering. All applicants to the M.S. program in Statistical Science must hold a bachelor's degree from an accredited institution that demonstrates mastery in multivariate calculus, matrix algebra, probability, and basic computer skills.
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Copyright © Commission on Professionals in Science & Technology, 2010, All Rights Reserved. [VPS]
Privacy Policy
Terms of Use
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