George Mason University – MS Data Analytics Engineering – Fall 2018
Mason is a large, public university with 33900 students and more than 200 bachelor’s, master’s and doctoral programs. Students from all 50 states and 125 different countries call Mason home, giving the university one of the most diverse student populations in the United States. Quality faculty, global connections and prestigious academic programs are part of mason signature learning experience.
The MS in Data Analytics Engineering 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.
About the Degree Program Requirements:
Applicants must have completed a baccalaureate degree from a regionally accredited program with a reputation for high academic standards and an earned GPA of 3.00 or better in their 60 highest-level credits. While no specific undergraduate degree is required, a background in engineering, business, computer science, statistics, mathematics, or information technology, is desirable, or alternatively strong work experience with data or analytics may be used.
GRE on File.
Application Fee: 75 $
Admission are open for Fall 2018.