Credits required
45 or 18 Oregon State University is on a quarter-term system. There are four quarters each year and classes are 11 weeks long. This program's 45 or 18 quarter credits are equal to 30 or 12 semester credits.
Cost per credit
$560 Cost per credit is calculated using tuition per credit for the current academic year. It does not include associated fees, course materials, textbook expenses, and other expenses related to courses.
100% online You can complete all courses in these programs 100% online. View the master's curriculum or the certificate curriculum.
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Data Analytics – Master of Science or Graduate Certificate


The job of data scientist has been called the "Best Job in America" each of the last three years by Glassdoor based on three key factors: number of job openings, salary and career opportunities rating. These Oregon State programs in data analytics serve the needs of both public and private companies seeking to make more effective use of their data resources.

America's best job

The job of data scientist has been called the "Best Job in America for 2019" by Glassdoor.

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Career opportunities abound in data analytics

A widely circulated report by McKinsey Global Institute estimates that by 2019, the United States could face a shortage of 140,000 to 180,000 people with deep analytic skills, and an estimated 1.5 million managers and analysts will be needed with the know-how to use the analysis of available data to make effective decisions.

Areas such as health services, resource management, and emergency preparedness need to gather and analyze huge data sets and so do banks, insurance companies and marketing specialists.

Private companies, government agencies and academic researchers all now deal with huge data streams on an every day basis. Teaching and research aimed at improving the ability of these groups to analyze very large amounts of data or big data clearly contributes to economic, social, cultural and environmental progress by promoting deeper, more accurate and more effective utilization of the data essential to their functioning.


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