The Master of Engineering in Systems Engineering requires 36 credits – 6 core courses, 5 elective courses, and one capstone course. All of the core courses, except for SWENG 886, are offered fully online. The remaining courses in the program are offered in a hybrid format.
To take online classes, you must get approval from your academic advisor before requesting enrollment through [email protected]. *Because 15 of the 18 core credits are delivered fully online, international students on a J-1 or F-1 visa are not eligible to enroll in this program.
Courses are listed below, with course descriptions available via links 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.
You must maintain a minimum grade point average of 3.0 (B) throughout the program. A 3.0 cumulative GPA is required to graduate.
Penn State’s Schedule of Courses lists course availability. General questions should be sent to [email protected]. Contact your assigned faculty advisor for advice on course selection.
Required Systems Engineering Courses and Capstone
SYSEN 520 – Systems Engineering
SYSEN 522 – Systems Verification, Validation and Testing
SYSEN 532 – Simulation in Systems Engineering: Discrete-Time Systems
SYSEN 534 – Simulation in Systems Engineering: Continuous-Time Systems
SYSEN 880 – Systems Architecture and Models
SWENG 886 – Requirements Engineering
(Formerly SWENG 586)
SYSEN 594 – Master’s Research Paper (a three-credit professional paper) OR SYSEN 594 - Advanced Systems Engineering Studio – Under general direction of faculty, students work on a systems project individually or in teams.
SARI (Scholarship and Research Integrity) Required Online Activity
You must successfully complete the SARI requirement of the Penn State degree in order to graduate. The SARI Module is offered only in spring and fall semesters.
Systems Engineering Elective Courses
Choose five courses (15 credits) from the following:
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
IE 575 – Foundations of Predictive Analytics
(Prerequisite: A-I 500)
INSC 831 – Contemporary Information Systems Architecture
STS 589 – Ethics and Values in Science and Technology
(offered online only)
SYSEN 507 – Systems Thinking
(offered online only)
SYSEN 555 – Invention and Creative Design
(Taking SYSEN 850 before SYSEN 555 is recommended.)
SYSEN 536 – Decision and Risk Analysis in Engineering
