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Risk Engineering and System Analytics

Risk Engineering and System Analytics is an emerging field of civil engineering that is primarily concerned with the modeling, management, and mitigation of risks. This field of engineering is rapidly growing and interdisciplinary in nature because it draws requires an understanding of structural engineering, natural catastrophe modeling, human error, data, business risk, supply chain, and other domains to effectively modeling and manage risk profiles for complex clients.

A Master of Engineering degree in Risk Engineering and System Analytics prepares students to address a variety of risks using data and validated models. This area of specialization provides a foundation for those individuals intending to pursue careers as risk managers, risk engineers, underwriters, researchers, or data scientists.

Focus Areas

  • Risk Modeling – the development of quantitative models to estimate a variety of risks related to physical structures, natural catastrophes, and human error.
  • Risk Mitigation and Management – the use of data-driven models to develop robust plans to address an individual or intersection or risks for a client, region, or sector.
  • Supply Chain and Business Risk – The application of engineering modeling techniques to identify risks related to supply chains and business risks. For example, the implications of how a natural disaster would impact infrastructure.
  • Data Analytics – Data collection, processing, and analysis with the goal to estimate, mitigate, manage, or better understand risk.