Courses for the Master of Engineering in Systems Engineering program are hyperlinked below to the University Bulletin. Please refer to the prerequisites mentioned on this page as those listed on the University Bulletin may differ from Penn State Great Valley. All courses offered are three credits unless otherwise indicated.
A-I 500 - Quantitative Methods
A-I 801 - Foundations of Artificial Intelligence
Prerequisite: A-I 500
DAAN 846 - Network and Predictive Analytics for Socio-Technical Systems
DAAN 862 - Analytics Programming in Python
Prerequisite: A-I 500
DAAN 871 - Data Visualization for Analytics
DAAN 881 - Data-Driven Decision Making (Prerequisite: A-I 500. DAAN 501 is NOT a prerequisite)
ENGMT 501 Engineering Management Science
ENGMT 510 - Economics and Financial Studies for Engineers
ENGMT 520 - Systems Optimization
IE 575 Foundations of Predictive Analytics
Prerequisite: A-I 500
INSC 831 - Contemporary Information Systems Architecture
S T S 589 - Ethics and Values in Science and Technology
SWENG/SYSEN 886 - Requirements Engineering
SYSEN 520 - Systems Engineering
SYSEN 522 - Systems Verification Validation & Testing
SYSEN 532 - Simulation in Systems Engineering: Discrete-Time Systems
SYSEN 534 - Simulation in Systems Engineering: Continuous-Time Systems
SYSEN 536 - Decision and Risk Analysis in Engineering
SYSEN 555 - Invention and Creative Design
Taking SYSEN 850 prior to SYSEN 555 is recommended but not required.
SYSEN 594 - Master’s Research Paper
Capstone course must be taken near the end of the program.
SYSEN 594 - Advanced Systems Engineering Studio
Capstone course must be taken near the end of the program.
SYSEN 805 - Technical Project Management
