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The MS in Data Analytics Engineering is a multidisciplinary degree program in the College of Engineering and Computing, and is designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Students study topics such as data mining, information technology, statistical modeling, predictive analytics, optimization, risk analysis, and data visualization. It is aimed at students who wish to become data scientists and analysts in finance, marketing, operations, business/government intelligence and other information intensive groups generating and consuming large amounts of data.
Application An earned baccalaureate degree from a Mason-recognized accredited institution of higher education, or international equivalent Unofficial Transcripts GPA 3.0 out of (4.0 scale) TOEFL iBT: 80 OR IELTS 6.5 overall GRE Two Letters of Recommendation Goal Statement CV
Data scientists and analysts in financemarketingoperationsbusiness intelligence etc
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George Mason University
