The School of Systems & Enterprises’ (SSE’s) Master of Engineering (M.Eng.) in Systems Analytics program trains students in state-of-the-art data visualization and knowledge extraction techniques to analyze trends, assess risk, discover patterns, and build decision models that can better develop, maintain and improve complex engineering systems and enterprises. The M.Eng. degree program is designed to provide students with expertise in visualizing, manipulating and extracting critical concepts from systems data as well as training in traditional systems decision-making methods.

As data analytics —the science of inspecting, cleaning, transforming, modeling and analyzing raw data to make deductions that can be used to inform subsequent steps in businesses of all natures — become an increasingly integral part of the business world, demand for data scientists is growing. Data-driven insights and analytics are facilitating and optimizing forecasting and decision-making abilities across industries. Upon completion of the M.Eng. program, graduates are equipped with the technical toolkit necessary to harness complex data and convert it into actionable insights.

Systems Analytics Application Requirements

  • Online application.
  • $60 nonrefundable fee.
  • Two letters of recommendation, submitted electronically through the online application system.
  • Official college transcripts from all institutions attended. Transcripts must be submitted in sealed envelopes and mailed directly to Stevens. If official documents are unavailable, unofficial documents can be uploaded through the online application system for initial review only. However, applicants will not be fully admitted until all official documents have been received.
  • GRE test score.

apply to the systems analytics programview the systems analytics curriculum

Data Exploration & Visualization Graduate Certificate

Photo of a computer in the immersion lab.

Visualize. Analyze. Optimize.

With big data becoming big business, technical managers need to increasingly use sophisticated graphics, animations, visualization and models to analyze and present data in ways that enables and optimizes intelligent decision-making for enterprises.

Explore now

The SSE Difference

Systems Analytics Faculty