Ethel Percy Andrus
Gerontology Center 240
The Master of Science in Analytics is designed to satisfy the growing demand for professionals equipped with significant technical and quantitative training in the fundamentals of analytics for solving engineering and management problems in today’s data-extensive digital world.
Analytics is a multidisciplinary field that relates the application of engineering approaches and methods to the analysis and management of engineering and enterprise processes based on data. Learning objectives of this program involve data collection, cleansing, fusing and curating, for the purpose of analyzing trends, discovering patterns and building decision models for well-reasoned decision support. Rigorous mathematical modeling and computational methods tools are at the heart of the program.
Graduates of this program will be prepared to convert data into meaningful information, embedded in decision support systems that can help organizations make important operational decisions and help set strategic direction and policy.
Master of Science in Analytics
The core of the MS in Analytics program consists of seven foundational courses, and three elective courses, totaling 30 units. The foundational courses cover the fundamentals of optimization, Data Management, Data Mining and Predictive Analytics modeling and the computational tools needed to implement them. The elective courses expose the students to different business domains such as data analytics consulting, analytics of web data, predictive modeling with big data, among others.