School of Graduate and Continuing Studies

About our Program

Computational science is an interdisciplinary field involving applied mathematics, computer science, and other disciplines such as engineering and business used to make quantitative predictions:

How will a newly designed aircraft behave under conditions of operation?
How can we design and manage the next generation of air traffic control systems?
If we synthesize a new pharmaceutical with a given chemical formula, how will it behave?
What is the ultimate fate of pollutants generated in urban areas?
How do river and estuary ecosystems respond to natural and human perturbations?
How do decisions made by individuals within a crowd affect the flow patterns of these crowds in urban areas?
How do we solve science and engineering problems using advanced optimization techniques?

Computational scientists employ modeling and simulation, or the development of mathematical descriptions and representations of real systems and objects. These mathematical models are then used to examine the behavior of the real system under future conditions or under historical conditions. Models may also be used to allow someone to experience, virtually, a situation or phenomenon (flight simulation and the increasingly popular Wii™ being the most obvious examples to the general public).

The program offers two tracks, one emphasizes computation in the sciences and the other applies computation in the broader fields of modeling and simulation.

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The Curriculum

The self-standing Master’s degree program consists of 36 credit hours (12 courses) that can be completed in full-time or part-time study. There are two tracks: (a) computation in the sciences and (b) modeling and simulation. All courses carry three credits.

**MSCP Curriculum- 36 Credits**
Core Courses- 18 Credits
CPLS 5100 Introduction to Modeling and Simulation
CPLS 5100 Computer Science for Modeling and Simulation
CPLS 5200 Scientific Visualization
CPLS 5210 Advanced Computational Linear Systems
CPLS 5420 Discrete Event Simulation and Agent Based Models
CPLS 5440 Parallel Computing

Research Courses- 6 Credits
CPLS 5800/5900 Research Project/Internship

Electives- 12 Credits (elective offerings will vary each semester)
CPLS 5310 Numerical Analysis II
CPLS 5320 Partial Differential Equations
CPLS 5410 Computational Modeling of Continuous Systems
CPLS 5600 The Finite Element Method
CPLS 5610 Environment Modeling
CPLS 5700 Independent Study

For course descriptions, please visit The College's Course Catalog.

The five core courses in the modeling and simulation track are considered preparation for a professional certification exam, offered by professional certification accrediting commissions. This is a national certification program for simulation professionals. Students who have taken these courses are encouraged to sit for this exam

Our program emphasizes applied work where in-class assignments are supplemented by research projects and internships at local industry to provide for the practical application of knowledge gained by our students and a smooth transition into either a professional or research career.

Apply today. If you have further questions Request More Information or please call the Graduate Admissions Office at (609) 626-3640 or E-mail gradschool@stockton.edu.

J. Russell Manson
Program Director
Ph.D. (University of Glasgow)
Associate Professor of Computational Science
Russell.Manson@stockton.edu

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