数据分析工程硕士是由统计学系管理的Volgenau多学科学位课程，旨在让学生了解数据驱动决策所需的技术和方法。学生学习诸如数据挖掘，信息技术，统计建模，预测分析，优化，风险分析和数据可视化等主题。该课程面向希望成为金融，市场营销，运营，商业/政府情报和其他信息密集型小组的数据科学家和分析师的学生，这些小组会生成和使用大量数据。数据分析工程学硕士旨在为学生提供了解数据驱动决策所需的技术和方法。主题涵盖数据挖掘，信息技术，统计模型，预测分析，优化，风险分析和数据可视化。该课程针对希望成为金融，市场营销，运营，
The MS in Data Analytics Engineering is a Volgenau multidisciplinary degree program, administered by the Department of Statistics, 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.The masters in data analytics engineering is designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Topics cover data mining, information technology, statistical models, predictive analytics, optimization, risk analysis, and data visualization. Aimed at students who wish to become data scientists and analysts in finance, marketing, operations, business intelligence, and other information-intensive groups generating and consuming large amounts of data, the program also has wider applications, including concentrations in digital forensics, financial engineering, and business analytics.