3 Key Ingredients to a Data Science Degree
No data science degree exists in the U.S. And that's a problem, because huge amounts of real-…
Georgia (Jan 7, 2013) — No data science degree exists in the U.S. And that's a problem, because huge amounts of real-time data in all sectors need to be analyzed and acted on.
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But this process currently passes through five people with specialized skill sets in different departments. And it takes weeks, if not months to do. Oftentimes, the market has changed by then, so the data's not even relevant.
Companies need one graduate who can do it all quickly: extract data, create tables for analysis, run the analysis, generate results and make decisions on those results. They're currently training these people in-house because universities aren't providing training.
However, in the long term, universities need to produce graduates who can fill these positions, said Jennifer Lewis Priestley, an associate professor of statistics and director of the Center for Statistics and Analytical Services at Kennesaw State University. She recommends three key ingredients to a data science degree and shares the reasons why no one's put them together.
A leader in innovative teaching and learning, Kennesaw State University offers more than 150 undergraduate, graduate and doctoral degrees to its approximately 41,000 students. With 11 colleges on two metro Atlanta campuses, Kennesaw State is a member of the University System of Georgia and the third-largest university in the state. The university’s vibrant campus culture, diverse population, strong global ties and entrepreneurial spirit draw students from throughout the region and from 92 countries across the globe. Kennesaw State is a Carnegie-designated doctoral research institution (R2), placing it among an elite group of only 6 percent of U.S. colleges and universities with an R1 or R2 status, and one of the 50 largest public institutions in the country. For more information, visit kennesaw.edu.