Applications for Winter 2027 Open in July

MASTER OF ENGINEERING IN

Industrial and Operations Engineering

Data and Decision Analytics Concentration

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Available Online or On Campus

#2 Best Graduate Industrial Engineering Programs

2026 U.S. News & World Report

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Program Curriculum
Career Outcomes
Student Experience
How to Apply
Tuition & Fees

Use Prescriptive Analytics to Make Data-Driven Decisions.

This Industrial and Operations Engineering (IOE) MEng focuses on how data informs action, equipping students to solve complex, real-world problems across engineering, business, and operations. The Data and Decision Analytics concentration focuses on transforming data into actionable decisions. It integrates data science, optimization, and operations research to support prescriptive, data-driven decision-making across complex systems.

Flexible Learning for Working Professionals

26

Total Credits

1-5 yrs

Part-Time or Full-Time

Mode

Online or On Campus

Start

Fall, Winter, Spring/Summer Semesters

Program Curriculum

The Industrial and Operations Engineering program includes a required Data and Decision Analytics concentration. Beyond the 11 core credits, students can choose 15 hours of elective credits. The program prepares students to analyze complex systems and solve real-world challenges across engineering, business, and operations. 

  • Gain a deep understanding of three core areas: predictive analytics, prescriptive analytics, and applications.
  • Translate analytical insights into actionable decisions that improve performance in complex engineering and business systems.
  • Formulate and solve data-driven decision problems using optimization, stochastic modeling, and operations research techniques.
  • Apply statistical and machine learning methods to analyze data, build predictive models, and assess uncertainty.
  • Communicate analytical insights clearly to key stakeholders to support informed decision-making.
View Program Curriculum

Data and Decision Analytics

Descriptive Analytics
Predictive Analytics
Prescriptive Analytics
Descriptive Analytics Predictive Analytics Prescriptive Analytics Various Applications

Descriptive analytics analyzes historical data to understand what has happened in a system, process, or business over a period of time. It provides insights into past performance and serves as the foundation for predictive and prescriptive analytics.

Predictive analytics focuses on using statistical models and machine learning algorithms to analyze historical data and make predictions about future events or behaviors.

Prescriptive analytics focuses on using data analysis, mathematical algorithms, and optimization techniques to provide recommended actions or decisions that will optimize a specific business objective.

Career Outcomes

34%

Career Growth

The data science and analytics field is projected to grow 34% from 2024 to 2034.

Source: Bureau of Labor Statistics, Employment Projections.

$112K

Median Salary

Data Scientists earn a median annual salary of $112,590.

Source: Bureau of Labor Statistics, Occupational Outlook Handbook

282K

Job Postings

In 2025, there were 282,485 unique job postings in this field—demonstrating strong demand for data science professionals.

Source: Lightcast™ (2025). Unique job postings for 1/2025 to 1/2026.

Career Paths
of Our Graduates

Data Science and Analytics graduates launch careers in roles such as:

  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Product Analyst
  • Quantitative Analyst
  • Software Engineer
  • Spatial Data Scientist

Source: University of Michigan Engineering Career Resource Center

Top Companies
Hiring Our Graduates

Our alumni are making an impact at leading organizations, including:

  • NVIDIA
  • Meta
  • Salesforce
  • Uber
  • Oracle
  • IBM
  • JPMorgan Chase
  • Discover
  • Vanguard

 

Source: University of Michigan Engineering Career Resource Center

How to Apply

Submit your application through the Michigan Engineering online application portal.

Requirement Details
Bachelor's degree Engineering, science, mathematics, or a related technical field.
GPA 3.0 or above (4.0 scale) strongly recommended.
Personal Statement Personal experiences, motivations, and a reflection on your educational journey.
Academic Statement of Purpose Background, goals, and how this program fits your career.
Resume / CV Current professional or academic resume.
Letters of Recommendation Three letters from academic or professional references.
Transcripts Official transcripts from all colleges and universities attended.
English proficiency TOEFL or IELTS required if native language is not English.
GRE Not considered.
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Get Started

Have questions about the program? Connect with our recruiter.

Alicia Markey

Recruitment and Engagement Coordinator