Modeling and simulation helps organizations explore decisions, test outcomes and reduce risk before acting in the real world.
The field of modeling and simulation allows people to explore decisions, test outcomes, and adjust strategies before acting in the real world.
For graduate students, a modeling and simulation master’s degree teaches you how to create digital representations of real systems, test scenarios and analyze outcomes without the cost or risk of trial and error.
You encounter modeling and simulation more often than you might realize. Traffic engineers use it to predict congestion and improve road design. Hospitals use it to plan staffing and patient flow. Businesses use it to test supply chain decisions. Military and government agencies rely on simulation for training and strategic planning. As organizations face increasing complexity, the ability to test decisions before implementing them has become essential.
For prospective graduate students, the field often sounds technical or abstract. In practice, it is highly applied. Modeling refers to building a simplified representation of a real-world system, such as a transportation network, healthcare process or economic system. Simulation is the process of running the model over time to see how it behaves under different conditions. Together, they provide insight that supports smarter planning, improved efficiency, and reduced risk.
Modeling and simulation sits at the intersection of engineering, computer science and data analysis. Unlike disciplines that focus solely on building software, this field emphasizes how systems behave as a whole. Students learn not only how to create models, but also how to interpret results, communicate findings and support decision-makers who may not have technical backgrounds.
What You Learn in a Modeling and Simulation Master’s Program
In a graduate program, students learn techniques for system modeling, simulation design, data visualization and analysis. Coursework often includes hands-on projects that mirror real-world challenges, helping students connect theory to practice. Students develop the ability to explain complex results clearly, an essential skill for working with interdisciplinary teams and stakeholders.
Who Should Consider This Degree
A modeling and simulation degree is well-suited for professionals who enjoy problem-solving, systems thinking and working with data. Many students come from backgrounds in engineering, computer science, mathematics or applied sciences, but the field also attracts professionals seeking to expand their analytical and decision-support skills. The skills gained in this program are valuable across industries, including health care, transportation, defense, manufacturing, business and government.
For those considering graduate study, modeling and simulation offers a future-focused path that blends technical expertise with practical impact. It prepares graduates to support smarter decisions in complex environments, making it a powerful tool for professionals looking to advance their careers and make a measurable difference in their fields.
Why Study Modeling and Simulation at ODU
Old Dominion University has a long-standing reputation for applied, research-driven education, and its modeling and simulation master’s program reflects that strength. The degree is designed to help students move beyond theory into real-world application, using modeling and simulation to support better decision-making across complex systems.
Through ODUGlobal, students gain access to expert faculty, a modern online learning environment and a curriculum that emphasizes flexibility without sacrificing rigor. The program is structured to support working professionals, allowing learners to adapt their pace while engaging deeply with technical concepts and applied projects.
ODU’s connections to research, industry, government, and military communities inform how modeling and simulation is taught. Students learn skills that translate directly to fields such as health care, transportation, defense, business and public-sector planning. The result is a graduate experience that prepares students not only to build and analyze models, but also to communicate insights clearly and contribute meaningfully in multidisciplinary environments.
