Big or small, data is a universal priority in today’s world. Finance, healthcare, defense and media are examples of industries that constantly collect and analyze data sets to extract valuable information and subsequently require tools that can disseminate the information simply and accurately.

Through data exploration and visualization, large amounts of complex information can be communicated clearly via graphic designs. Visuals are simpler to understand, have a stronger impact, are engaging for a wider audience and significantly improve comprehension, communication and decision-making.

To address the growing need for qualified data analysts and visualizers, Stevens offers a graduate certificate in data exploration and visualization for risk and decision-making.

The certificate will cover basic modern techniques in data analysis and visualization, data science and knowledge discovery, informatics and decision and risk analysis. Practitioners and students interested in improving their current skills in data manipulation and visualization, as well as individuals who want to explore a new career in visualization will benefit greatly from this program.

Required Courses

  • EM 622 Data Analysis & Visualization Technology for Decision Making
  • EM 623 Data Science & Knowledge Discovery in Engineering Management
  • EM 624 Informatics for Engineering Management
  • SYS 660 Decision & Risk Analysis

Program Objectives

  • Develop knowledge of python for EM applications
  • Understanding of data mining and knowledge extraction from data and text
  • Understanding of risk and its effect on decision-making
  • Exposure to latest decision-making techniques
  • Knowledge on manipulating a dataset and its visualization
  • Experience in designing, implementing and analyzing simple real world scenarios

Admission Requirements

  • Completed application for admission
  • An undergraduate degree in engineering or computer science or a related discipline, with a ‘B” average or better from an accredited college or university (No programming focus required, although it would be desirable)
  • Official transcripts
  • Full-time students are required to submit GRE or GMAT scores

Classes will be taught online and at Hoboken campus.

For more information on the program, email [email protected]