University Catalog 2024-2025

Engineering Management Analytics (Certificate)

The Analytics Certificate aims to meet the increasing demand for professionals like you, who are skilled in big data and data analytics across various industries, government sectors, and research organizations.

In this certificate program, led by top faculty members from the Colleges of Engineering, Management, and Sciences, you will delve into topics such as data mining, Python programming, and operations analysis. Additionally, you will focus on the foundational aspects of analytics from a technical engineering perspective.

More Information

Engineering Management Program Website

To apply to the program, you need to:

  • Complete an online application form
  • Submit transcripts of all academic work after high school
  • Provide a written personal statement
  • Admission is competitive, and the GRE is not required. Your academic success plays a significant role in the admission process. However, completing a certificate program does not guarantee entry into a graduate degree program. You should have a STEM or another relevant bachelor’s degree.

Applicant Information

  • Delivery Method: On Campus, Online, Hybrid
  • Entrance Exam: None
  • Interview Required: None

Application Deadlines

Please visit The Graduate School Application Deadlines page for more information.

Plan Requirements

Core Course3
Introduction to Operations Research (required)
Statistics Courses3
Must complete one course below
Experimental Statistics for Engineers I
Experimental Statistics For Engineers II
Applied Statistical Methods I
Applied Statistical Methods II
Elective Courses6
Must complete two courses below
Computer Methods and Applications
Database Applications in Industrial and Systems Engineering
Python Programming for Industrial & Systems Engineers
Statistical Models for Systems Analytics in Industrial Engineering
Applications of Data Science in Healthcare
Stochastic Models in Industrial Engineering
Decision Making under Uncertainty
Introduction to Mathematical Programming
Algorithmic Methods in Nonlinear Programming
Analysis of Big Data
Statistical Programming I
Statistical Programming II
Data Science for Statisticians
Introduction to Statistical Learning
Total Hours12



Full Professors

Associate Professors

Assistant Professors

Associate Research Professor

Associate Teaching Professor

Teaching Assistant Professor

Professor of the Practice

Emeritus Faculty

Associate and Adjunct Faculty