ENMGT 5930

Last Updated

  • Schedule of Classes - March 20, 2026 3:39PM EDT

ENMGT 5930
Data Analytics

Course information provided by the 2026-2027 Catalog.

Big data is transforming organizations enabling vast improvements in operating efficiency, market identification and segmentation, and many other domains. This course focuses on data collection at all scales, the transformation of that data into knowledge using a variety of data analytic techniques, and the integration of that knowledge into system models for decision-making to better manage organizations. Expertise in R will be developed throughout this course.


Prerequisites CEE 3040 or equivalent.

Last 4 Terms Offered 2025FA, 2024FA, 2023FA, 2022FA

Learning Outcomes

  • Develop an ability to manage, analyze, and interpret data.
  • Improve the students' ability to identify, formulate, and solve engineering management problems.
  • Develop the skills and techniques necessary to become an effective problem solver.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: CEE 4930, CEE 5930

  • 4 Credits Stdnt Opt

  •  8134 ENMGT 5930   LEC 001

  •  
    • TR
    • Aug 24 - Dec 7, 2026

    • Nozick, L

  • Instruction Mode: In Person

    Enrollment limited to: Engineering Management students; others by permission of department from Diana Peppin (dlw259).

  •  8136 ENMGT 5930   DIS 201

  •  
    • F
    • Aug 24 - Dec 7, 2026

    • Nozick, L

  • Instruction Mode: In Person

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: CEE 5930

  • 4 Credits Stdnt Opt

  •  8135 ENMGT 5930   LEC 002

  •  
    • Aug 24 - Dec 7, 2026

    • Nozick, L

  • Instruction Mode: Distance Learning-Asynchronous

    Enrollment limited to: distance learning students. To request a permission number, contact Alexis Vargas (aev45).

  •  8137 ENMGT 5930   DIS 202

  •  
    • Aug 24 - Dec 7, 2026

    • Nozick, L

  • Instruction Mode: Distance Learning-Asynchronous

    Enrollment limited to: distance learning students. To request a permission number, contact Alexis Vargas (aev45).