Opportunities for Professional Graduate Students

Master of Business and Science in Discovery Informatics and Data Sciences

The goal of the Master of Business and Science (MBS) in Discovery Informatics and Data Sciences is to prepare students for data-driven decision making and analytics and their applications to a broad range of domains including science, engineering, and business. The program unites the fields of analytics, data management, statistics, machine learning, and computation. Students obtain a variety of skills including the ability to manage and analyze very large data sets, develop modeling solutions to support decision making, and develop a good understanding of how data analysis drives decision making. The MBS includes both a science and business curriculum. This program also targets those interested in data-enabled computational science and engineering (escience).

 

Graduate Certificate Program in Computational and Data-Enabled Science and Engineering (CDS&E)

The Graduate Certificate in CDS&E is a crossdisciplinary graduate program administered by RDI2 and the Master of Business and Science (MBS) program. The goal of the program is to provide the necessary structures, learning opportunities, and experiences, beyond the more traditional university curriculum, that are necessary to drive science, engineering, and business using advances in cyberinfrastructure. The program is comprised of new and existing Rutgers courses that, collectively, give students a multidisciplinary experience and include foundational and applied courses spanning modeling and computation, algorithms, advanced computation, data management and analysis, visualization, software, and multidisciplinary collaborations.

Graduate Certificate Program in Discovery Informatics

The Graduate Certificate in Discovery Informatics is a crossdisciplinary graduate program administered by RDI2 and the Master of Business and Science (MBS) program. The goal of the program is to train students for data-driven decision making and its applications to a range of domains including science, engineering, and business. Students obtain a variety of skills including the ability to manage and analyze very large data sets, develop modeling solutions to support decision making, and develop a good understanding of how data analysis drives decision making. The program is comprised of new and existing Rutgers courses that, collectively, give students a multidisciplinary experience and include foundational and applied courses spanning modeling and computation, algorithms, advanced computation, data management and analysis, statistics, machine learning, visualization, software, and multidisciplinary collaborations.