
Graduate Programs in Systems Science
Why Systems Science?
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Whether you study on-campus, online, or in Manhattan (health systems), the Systems Science graduate program at Binghamton University offers a unique, internationally recognized, highly transdisciplinary learning and research experience that provides you with concepts, principles and methods for understanding, modeling, analyzing, optimizing and improving various forms of complex systems.
Such systems thinking and problem solving skills will be an invaluable asset when
you blaze a new trail in any scientific, engineering, business, or management profession,
within today's increasingly complex world.
Selected Research Topics
Mathematical Modeling of Systems; Computer Simulation; Soft Computing; Machine Learning;
Intelligent Control; Optimization; Statistical Modeling; Data Analytics; Information
Theory; System Dynamics; Nonlinear Dynamics; Agent-Based Modeling; Game Theory; Computational
Social Science; Complex Networks; Decision Making and Management; Health Systems;
Sustainability; Transdisciplinary Research.
Programs Offered
- PhD in Systems Science
- MS in Systems Science
- MS in Systems Science with Health Systems concentration
- MS in Systems Science: Health Systems executive program in Manhattan
- Advanced Graduate Certificate in Complex Systems Science and Engineering (available for all majors)
Requirements
Master's in Systems Science (MS SS)
Students must complete the required courses while maintaining at least a B average.
Required courses
- SSIE 500: Computational Tools
- SSIE 501: Introduction to Systems Science
- SSIE 505: Introduction to Applied Probability and Statistics
- SSIE 520: Modeling and Simulation, or SSIE 523: Collective Dynamics of Complex Systems
Sample electives
- SSIE 506: Systems Problem Solving
- SSIE 519: Applied Soft Computing
- SSIE 617: Fuzzy Sets, Fuzzy Logic and Fuzzy Systems
- SSIE 631: Foundations of Neural Networks
Thesis option: 4 electives* plus 6 credits of thesis work followed by oral presentation and defense.
Non-thesis option: 5 electives* plus a project of at least 3 credits.
*At least one elective must be at the 600 level.
Course descriptions are available in the University Bulletin at bulletin.binghamton.edu.
PhD in Systems Science (PhD SS)
Degree requirements include:
- satisfaction of the learning contract, including proficiency in teaching and residence requirements
- pass a comprehensive exam
- presentation of a colloquium on proposed research
- acceptance of a prospectus outlining dissertation research
- submission of a dissertation, and
- defense of a dissertation at oral examination
Students' Testimonials
Earn Your Graduate Degree Remotely
EngiNet, the Watson School's Graduate Distance Learning Program, uses software to digitally capture both classroom lectures and presentation materials. The lectures are posted on the course management system. Students use the online media in conjunction with course materials posted on each course website. Online files are usually posted within 24 hours of being recorded.
For additional information about courses, tuition or registration, send an e-mail
to enginet@binghamton.edu or call 607-777-4965 (toll free 1-800-478-0718).
Application Deadline
Admission to the program occurs on a rolling basis. Early early application is encouraged. Click here to apply.
For Additional Information
Dr. Hiroki Sayama
Graduate Program Director
E-mail: sayama@binghamton.edu
Phone: 607-777-3566
Erin Hornbeck
E-mail: hornbeck@binghamton.edu
Phone: 607-777-6511