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Graduate Certificates in Systems Science

Program Overview

The Systems Science program offers graduate certificates in two specialty areas: Computational Intelligence and Computer Modeling & Simulation. Students should apply to the Graduate Certificate Program before they finish all of the coursework for the graduate certificate, because they must be currently enrolled in order to validate their admission to the graduate certificate programs, and they must be currently enrolled in order to be awarded the Graduate Certificate.  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.  Students should notify the Systems Science office when they are finishing their last course for the Graduate Certificate, so that the program staff can prepare the Program Completion Form.

Certificate Requirements

In order to earn a graduate certificate, a student must:

  • complete 16 credit hours of courses in the specialty area,
  • earn a GPA of 3.25 for these courses, and
  • complete the departmental Application for Certificate form

Graduate Certificate in Computational Intelligence

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

Graduate Certificate in Computer Modeling & Simulation

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 list of specific courses associated with these certificates is maintained by Systems Science Program and are listed below.

Computer Modeling & Simulation

Computational Intelligence

SySc 514: System Dynamics, 4 cr. (REQUIRED)
Winter term
SySc 575 AI: Neural Networks I, 4 cr. (REQUIRED)
  Winter term
SySc 527: Discrete System Simulation, 4 cr. (REQUIRED)
Spring term
SySc 576 AI: Neural Networks II, 4 cr.
  Spring term
SySc 525: Agent-Based Simulation, 4 cr.
Fall term
SySc 557: Artificial Life, 4 cr.
Spring term
SySc 529: Business Process Modeling & Simulation, 4 cr.
Spring term
SySc 512: Quantitative Methods of Systems Science, 4 cr.
Winter term
SySc 553: Manufacturing Simulation, 4 cr.
Spring term
SySc 551: Discrete Multivariate Modeling, 4 cr.
Winter term
SySc 512: Quantitative Methods of Systems Science, 4 cr.
Winter term
CS 541 Artificial Intelligence, 3 cr.
Fall term
SySc 551: Discrete Multivariate Modeling, 4 cr.
Winter term
ECE 557 Engineering Data Analysis and Modeling, 4 cr.
Psych 523: Covariance Structure Modeling, 5 cr.
Spring term
ECE 559 Genetic Algorithms, 4 cr.

Admissions

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

Download the application for the Graduate Certificate Program (PDF)

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