University Catalog 2026-2027

Engineering Management (MR): Analytics Concentration

Degree Requirements

Core Requirements15
Students must select 15 Core Requirements as outlined below.
Concentration Requirements15
Students must select 15 Concentration Requirements as outlined below.
Total Hours30

Core Requirements

Project Management Courses3
Select one course from the list below:
Project Management
Engineering Project Management
Project Management
Construction Project Management
Organization Communication & Leadership courses3
Select one course from the list below:
Engineering Leadership and Strategic Change
Seminar in Organizational Conflict Management
Interpersonal Communication in Science and Technology Organizations
Seminar In Organizational Communication
Decision Science course3
Introduction to Operations Research
Quantitative Literacy courses3
Select one course from the list below:
Statistics for Management and Social Sciences I
Experimental Statistics for Engineers I
Experimental Statistics For Engineers II
Applied Statistical Methods I
Applied Statistical Methods II
Financial Aptitude courses3
Select one course from the list below:
Applied Engineering Economy
Managerial Finance for Engineers
Risk and Financial Management in Construction
Total Hours15

Concentration Requirements

Required Concentration Courses
Concentration Electives12
Select four elective courses below:
Practical Machine Learning for Engineering Analytics
Special Topics in Engineering Management
Data Wrangling and Web Scraping 1
Exploratory Data Analysis for Big Data 1
Data Internship Preparation for Social Impact 1
Exploring Machine Learning 1
Special Topics in Data Science 1
Graduate Special Topics in Data Science
Database Applications in Industrial and Systems Engineering
Python Programming for Industrial & Systems Engineers
Introduction to Optimization and Machine Learning for Systems Analytics
Statistical Models for Systems Analytics in Industrial Engineering
Simulation Modeling
Operations Analysis
Decision Making under Uncertainty
Analytical Supply Chain Management
Predictive Analytics for Business and Big Data
Data Engineering, Management and Warehousing
Marketing Analytics
Computer Methods and Applications
Analysis of Big Data
Statistical Programming I
Data Science for Statisticians
Data Mining with SAS Enterprise Miner
Introduction to Statistical Learning
Practicum Course3
Select one course from the list below:
Artificial Intelligence for Engineering Managers
Engineering Management Masters Project
Engineering Management Masters Project
Co-Op Work Graduate Alt 2
Co-Op Work Graduate PAR 2
Industrial Engineering Projects
Business Analytics Practicum
Venture Opportunity Analytics
Total Hours15
1

Students may count up to 3 credit hours from DSA prefix courses (data science), 400+ level or higher, toward this concentration. 

2

COP500/501 is a 0 credit hour course and would require an additional 3 hour elective.

Faculty

Director


Full Professors


Associate Professors


Assistant Professors


Associate Research Professor


Teaching Professor


Associate Teaching Professor


Teaching Assistant Professors


Professor of the Practice


Emeritus Faculty

  • Julie Ivy, Professor Emeritus
  • Javad Taheri, Associate Research Professor Emeritus

Lecturers