Master of Engineering in Engineering: Engineering Data Analytics

Overview

30
Credits
$1100 Per Credit
SemesterBased

Engineers across industries must turn data into actionable insights. This flexible online program gives you the tools to analyze, visualize, and act on complex data, while allowing you to tailor your coursework to your professional goals. Build in-demand skills in machine learning, predictive modeling, and engineering data analytics on a schedule that supports your career, your family, or both.

  • Participate in an interactive online learning experience built for working engineers
  • Network with peers, faculty, and industry professionals to extend learning beyond the classroom
  • Gain hands-on experience applying data analytics in engineering systems

Customize your program by choosing core data analytics courses and using electives to shape your focus in areas such as AI, manufacturing, sustainability, or leadership.

This engineering data analytics program combines machine learning, predictive analytics, and visualization with leadership and communication skills. You’ll learn to apply theory to practice, turning complex engineering data into clear, actionable insights.

  • Machine learning and predictive analytics
  • Data science and statistical modeling
  • Data visualization tools and techniques
  • Database design and management
  • Programming for engineering applications
  • Leadership and project management
  • Communicating technical insights to stakeholders
  • Applying data analytics to engineering systems

Admissions

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