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Academics
Modeling and Simulation Engineering

Modeling and Simulation Engineering

This program is available at the Springfield - Leffel Lane location.

This unique Modeling and Simulation Engineering (MSE) program prepares students with technical skills in systems design and analysis, machine learning, and artificial intelligence to support the current and next generation of innovators seeking to optimize operations and improve decision-making.  The program offers hands-on coursework that develops skillsets and refines expertise through problem-solving, creativity, and critical thinking, making it indispensable in addressing some of the most pressing challenges of our time. 

Modeling and simulation (M&S) have emerged as critical tools across many industries, bridging theory and practice by developing dynamic, interactive systems that represent real-world phenomena. These systems enable users to study, experiment with, and optimize complex processes without the constraints, costs, or risks associated with physical prototypes or real-world testing. As computational capabilities grow and software tools become increasingly sophisticated, M&S applications have proliferated, encompassing areas as diverse as engineering, healthcare, manufacturing, climate science, and defense. For example, engineering simulations facilitate stress analysis in structural design, allowing engineers to anticipate failures and optimize materials. Similarly, in healthcare, surgical simulations offer a risk-free environment for training surgeons, improving patient outcomes through precision and practice. Likewise, climate modeling provides policymakers with critical insights into weather patterns, enabling informed decisions to mitigate natural disasters and address climate change.

Outcomes and Curriculum

Course Title Credits
Fall
MSE 1000 Systems Engineering I 3
ENT 1050 Manufacturing Foundations 4
CSD 1510 Programming Fundamentals with Python 3
EBE 1000 Employability Skills 1
ENG 1111 English I 3
FYE 1101 College Success 1
 
Spring
MSE 1050 Systems Engineering II 3
MSE 1500 Simulation Modeling Foundations 4
INT 1000 OSHA 10-Hour General Safety 1
MTH 1280 College Algebra 4
-- Social/Behavioral Science Elective (GA)* 3
 
Fall
MSE 2000 Engineering Design of Simulation Systems I 3
MSE 2100 Human Factors Engineering 3
CAD 2100 Solid Modeling 3
CAD 2200 Advanced Solid Modeling 3
CSE 1110 Introduction to Cybersecurity  
or EBE 2703 Co-op Education I 3
 
Spring
MSE 2050 Engineering Design of Simulation Systems II 3
MSE 2200 MATLAB Applications 3
MSE 2500 Machine Learning 3
STT 2640 Elementary Statistics I  
or MTH 1340 Pre-Calculus 3
-- Natural Science Elective 3
 
  Total credit hours 60
*At least one Social/Behavioral Science or Arts/Humanities elective must be a global awareness (GA) course.

Questions? We're here to help!

Piotr Windyga Associate Professor

937-429-8928 windygap@clarkstate.edu