Graduate Certificates in Systems Science

Program Overview

The Systems Science program offers graduate certificates in two specialty areas: Computational Intelligence and Computer Modeling & Simulation. Admission to Graduate Certificate Programs is continuous throughout the academic year. New students apply via CollegeNet, whereas for students already admitted to a certificate or degree program at PSU a graduate program change form is used. All courses applied to the Graduate Certificate must be no more than 7 years old at the time of the awarding of the Graduate Certificate.  When a student are nearing completing of the certificate, they must apply to graduate with the certificate.

Important Revision Notice

This page reflects a revised version of the certificates that is in the process of being approved by the University. The changes are minor and are expected to pass review. Should any student complete a certificate before the review process is finished, a DARS exception may be required. If you are finishing a certificate in 2018-19 and believe the changes may affect you, please talk to the Systems Science faculty member in charge of the certificate: Dr. Wakeland for GCCMS or Dr. Fusion for GCCI.

Certificate Requirements

In order to earn a graduate certificate, one must:

  • Either apply for admission via CollegeNet (rolling admission, always available) if not yet a PSU student
  • --or-- if already a PSU student work with their advisor to submit an OGS program change form
  • Complete at least 15 credit hours of courses in the specialty area,
  • Earn a GPA of 3.25 for these courses, and
  • Apply for graduation (be awarded the certificate) via the OGS website

Graduate Certificate in Computational Intelligence

The GCCI encompasses neural networks, evolutionary computing, fuzzy set theory, and artificial intelligence. Typical application areas include pattern recognition, data-mining, control, signal processing, and non-linear optimization.

Graduate Certificate in Computer Modeling & Simulation

The GCCMS encompasses linear systems theory, discrete and continuous system simulation, and statistical modeling of structure. Typical application areas include process engineering, policy evaluation, data analysis & interpretation, and the study of feedback dynamics in complex systems.

The specific courses associated with these certificates are maintained by the Systems Science Program, and are listed below.

Computer Modeling & Simulation

Computational Intelligence

SySc 514: System Dynamics, 4 cr. (REQUIRED) SySc 575: AI: Neural Networks I, 4 cr. (REQUIRED)
SySc 527: Discrete System Simulation, 4 cr. SySc 551: Discrete Multivariate Modeling, 4 cr.
SySc 525: Agent-Based Simulation, 4 cr. CS 541: Artificial Intelligence, 3 cr.
ELECTIVES. One of the following courses if all three
of the above courses are taken; otherwise, two of the following courses:
CS 545: Machine Learning, 3 cr.
CS 545: Machine Learning, 3 cr.

CS 546: Advanced Topics in Machine Learning, 3 cr.

Psych 523: Covariance Structure Modeling, 5 cr.

CS 570: Machine Learning Seminar, 1 cr.

SySc 535: Modeling & Simulation with R and Python, 4 cr.

ECE 510: Topics: Mathematical Foundations of Machine Learning, 4 cr.

SySc 540: Introduction to Network Science, 4 cr


SySc 551: Discrete Multivariate Modeling, 4 cr.



Students do NOT need to be admitted to a graduate degree program in order to earn a graduate certificate.

Read a testimonial about the Graduate Certificate in Computer Modeling and Simulation.