Gallogly College of Engineering Outreach and Recruitment
Email: goengineering@ou.edu
Phone: (405) 325-3164
Website: ou.edu/engineering
Engineering Analytics (EA) prepares students to design, analyze, and improve complex systems using data, mathematical modeling, and computing. As a program housed in the School of Industrial & Systems Engineering (ISE), EA blends core systems engineering principles with cutting-edge tools in analytics, optimization, computing, machine learning, and AI to drive smarter, faster decisions across any industry.
How is EA different from ISE—or other programs in Analytics and Data Science? In ISE, the emphasis is on modeling and improving systems with a balanced mix of people, processes, and technology. Other programs in Analytics and Data Science focus primarily on technical data tools and extracting insights. EA sits at the intersection: like ISE, it is systems focused, but it goes deeper on the computational and mathematical side—especially predictive and prescriptive modeling—to build and improve data driven systems end-to-end. Our school has prepared systems thinkers since 1965, and EA builds on that legacy.
Students who thrive in EA are typically drawn to:
High school preparation should include strong math and physical sciences; additional exposure to statistics and computing/programming is especially helpful.
OU Engineering Analytics provides students with the skills listed below:
Engineering Analytics students participate widely across Gallogly College organizations. Many students join:
For more organizations, explore the current list of engineering student organizations and support programs on Engineering Student Life.
Engineering Analytics covers foundational engineering, math, and science (shared with ISE) plus a deeper sequence in computational analytics. Core EA courses include:
In addition to overlapping ISE core courses (e.g., systems optimization, simulation), EA offers more analytics focused electives so you can tailor your degree toward domains like healthcare, energy, supply chains, aerospace & defense, and advanced manufacturing. The curriculum is designed to blend analytics, optimization, computing, and AI/ML with systems engineering, so you can build models that both predict and prescribe decisions.
Engineering Analytics' versatility opens doors across sectors. Example roles include:
Graduates are prepared to harness data, identify trends, and make informed decisions to formulate and solve systems engineering problems across industries.
Visit the U.S. Bureau of Labor Statistics’ website to explore the median pay for jobs you can pursue with this degree.
Gallogly College of Engineering Outreach and Recruitment
Email: goengineering@ou.edu
Phone: (405) 325-3164
Website: ou.edu/engineering
